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TODAY'S JP PLAYERS
LIVE · Seiya Suzuki @ SEA3-2LIVE · Shota Imanaga @ SEA2.0IP 1ER 4KKazuma Okamoto @ NYY3-1Yuki Matsui vs MIN1.0IP 0ER 1KShohei Ohtani vs PIT3-0Yusei Kikuchi @ TEX5.0IP 5ER 4KMunetaka Murakami vs NYM3-0Kodai Senga @ CWS0.1IP 1ER 0KTomoyuki Sugano vs CLE3.0IP 5ER 2KLIVE · Seiya Suzuki @ SEA3-2LIVE · Shota Imanaga @ SEA2.0IP 1ER 4KKazuma Okamoto @ NYY3-1Yuki Matsui vs MIN1.0IP 0ER 1KShohei Ohtani vs PIT3-0Yusei Kikuchi @ TEX5.0IP 5ER 4KMunetaka Murakami vs NYM3-0Kodai Senga @ CWS0.1IP 1ER 0KTomoyuki Sugano vs CLE3.0IP 5ER 2K
Blue Unicorn — Blue Unicorn — Japanese MLB Players Data Site
GLOSSARY · MLB STATS

MLB Stats Glossary 2026 — wRC+, OPS & Barrel with Japanese MLB Top 3

Key Batting, Pitching & Statcast Metrics (Benchmarks + 2026 Japanese MLB Top 3)

Quick Metric GuideOPS / wRC+ / Barrel% / FIP
OPS
.800+
Good benchmark (Avg .720)
wRC+
130+
Avg = 100 / 130+ is good
Barrel%
12%+
Top 25% mark (Avg 8.6% / Ohtani 23.5%)
FIP
≤3.50
Good level (Avg 4.15)

What is wRC+? What's a good OPS? What does Barrel rate mean? A beginner-friendly guide to MLB statistics with the live 2026 Japanese MLB Top 3 for OPS, AVG, OBP, SLG, WHIP, ERA, K/9, xBA and Barrel%. Each metric covers definition, formula, benchmark values (OPS .800+ = good, wRC+ 100 = league average), and real examples from Shohei Ohtani, Yoshinobu Yamamoto and other Japanese MLB players.

40 stats

Batting Stats

AVG

Batting Average

The most fundamental hitting metric: hits divided by at-bats. A .300 AVG is the traditional benchmark for a good hitter. While AVG misses walks and extra-base power, it remains a quick shorthand for contact skill. Best paired with OBP and OPS for a complete picture.

League AvgGood
.250.280
Formula
Hits ÷ At-Bats

2026 Season Japanese Top 3

MLB Stats API / Statcast aggregation (qualified PA / IP)

OBP

On-Base Percentage

Measures how often a batter reaches base via hit, walk, or hit-by-pitch. One of the two components of OPS (OBP + SLG). A .370 OBP indicates excellent plate discipline. Widely regarded as more predictive of run-scoring than AVG alone.

League AvgGood
.320.350
Formula
(H + BB + HBP) ÷ (AB + BB + HBP + SF)

2026 Season Japanese Top 3

MLB Stats API / Statcast aggregation (qualified PA / IP)

SLG

Slugging Percentage

Measures the average number of bases earned per at-bat. Singles count as 1, doubles 2, triples 3, and home runs 4. The power component of OPS. A .500 SLG marks a true power hitter.

League AvgGood
.400.450
Formula
(1B×1 + 2B×2 + 3B×3 + HR×4) ÷ AB

2026 Season Japanese Top 3

MLB Stats API / Statcast aggregation (qualified PA / IP)

OPS

On-base Plus Slugging

The most widely used single hitting stat. Combines on-base percentage (OBP) and slugging percentage (SLG). Higher is better. Benchmarks: below .700 = below average, .800 = average, .900 = excellent, 1.000+ = elite superstar level. Shohei Ohtani posted an OPS of 1.014 in 2025, his third straight season above 1.000.

League AvgGoodOhtani 2025 Final
.720.8201.014
Formula
OBP + SLG

OPS adds OBP and SLG on equal terms, making it the most widely cited all-in-one batting stat despite theoretical imperfections (OBP is more predictive per unit). The .700/.800/.900/1.000 ladder maps neatly to below-average/average/good/superstar. In 2025, Shohei Ohtani posted 1.014 — his third straight season above 1.000 — while Seiya Suzuki (.804) led other Japanese MLB hitters. For park-to-park comparisons, pair OPS with wRC+ or OPS+.

2026 Season Japanese Top 3

MLB Stats API / Statcast aggregation (qualified PA / IP)

Player Examples (2025)

Shohei Ohtani1.014
Seiya Suzuki.804
Masataka Yoshida.695

wRC+

Weighted Runs Created Plus

Measures how many runs a batter creates, park-adjusted and scaled so 100 = league average. Benchmarks: 100 = league average, 115–130 = above average, 130+ = good, 160+ = elite. A score above 150 is MVP-caliber. Shohei Ohtani posted a 1.014 OPS and .418 wOBA in 2025 — top of the NL once park effects are accounted for.

League AvgGood
100130
Formula
(Batter's wRC ÷ League wRC) × Park Factor × 100

The 100-scale makes wRC+ self-explanatory — a wRC+ of 130 means 30% better than league average. Park-adjusted, so a .300 hitter at Dodger Stadium ranks above the same average at hitter-friendly Coors Field. In 2025, Shohei Ohtani posted a .418 wOBA against Seiya Suzuki's .343 — a gap wide enough that no park adjustment changes the ranking. Use wRC+ when comparing players across different ballparks or eras.

OPS+

On-base Plus Slugging Plus

OPS adjusted for ballpark effects, scaled so 100 = league average. Like wRC+, higher is better. Enables fair comparisons across different ballparks and eras. Shohei Ohtani posted a 1.014 OPS in 2025 — elite even before park adjustment.

League AvgGood
100130
Formula
(Player OPS / Park-Adjusted League OPS) x 100

wOBA

Weighted On-Base Average

Assigns run-value weights to each way of reaching base (single, double, triple, HR, walk). More accurate than OPS for measuring offensive contribution. Benchmarks: .320 = league average, .340+ = above average, .370+ = good, .400+ = elite. Shohei Ohtani remained among MLB's elite hitters in 2025.

League AvgGood
.320.370
Formula
(0.69xBB + 0.72xHBP + 0.89x1B + 1.27x2B + 1.62x3B + 2.10xHR) / PA

Unlike OPS, wOBA uses empirical run-value weights so each extra-base outcome is counted appropriately rather than lumping all power into a single SLG figure. A .320 wOBA is MLB average; .370+ is excellent; .400+ is elite. In 2025, Shohei Ohtani posted .418 — historically elite. Pair with wRC+ for a park-adjusted view of the same offensive quality; wOBA itself does not adjust for ballpark.

Barrel%

Barrel Percentage

Percentage of batted balls hit at 98+ mph with optimal launch angle (~26-30°). Strongly predicts home runs and extra-base hits.

League AvgGoodOhtani 2025 Final
8.6%12%23.5%
Formula
Barrels ÷ Batted Ball Events × 100

Statcast defines a Barrel as a batted ball at 98+ mph with a launch angle of 26–30 degrees — a profile that statistically predicts .500 BA and 1.500 SLG. At that threshold, the hitter has done essentially everything right. The MLB average is 8.6% (2025, per batted-ball event); 12%+ puts a hitter in the top 25% of qualified batters; 15%+ is elite. Shohei Ohtani's 23.5% Barrel rate in 2025 — among the highest in the Statcast era — was the primary engine behind his 55 home runs.

2026 Season Japanese Top 3

MLB Stats API / Statcast aggregation (qualified PA / IP)

Player Examples (2025)

Shohei Ohtani23.5%
Seiya Suzuki16.6%
Masataka Yoshida6.5%

ISO

Isolated Power

Measures raw power by removing singles from slugging percentage. Captures only extra-base hit contribution.

League AvgGoodOhtani 2025 Final
.140.200.340
Formula
SLG − BA

Player Examples (2025)

Shohei Ohtani.340
Seiya Suzuki.233
Masataka Yoshida.122

Hard Hit%

Hard Hit Percentage

Percentage of batted balls hit at 95+ mph, tracked by Statcast. For batters, higher means more raw power — 40%+ is a good rate (Shohei Ohtani reached 58.7% in 2025). For pitchers, it measures hard contact allowed, so lower is better.

League AvgGoodOhtani 2025 Final
36%40%58.7%
Formula
Batted Balls ≥ 95 mph ÷ Total Batted Balls × 100

Player Examples (2025)

Shohei Ohtani58.7%
Seiya Suzuki48.7%
Masataka Yoshida44.0%

BB%

Walk Percentage

The percentage of plate appearances that result in a walk. Reflects a batter's plate discipline. Higher BB% boosts on-base percentage and signals that pitchers are reluctant to challenge the hitter. 10%+ is above average.

League AvgGoodOhtani 2025 Final
8.0%10.0%15.0%
Formula
Walks ÷ Plate Appearances × 100

Player Examples (2025)

Shohei Ohtani15.0%
Seiya Suzuki10.9%
Masataka Yoshida4.9%

K%

Strikeout Percentage

Percentage of plate appearances ending in a strikeout. Lower is better for batters — below 15% indicates strong bat-to-ball skills. Higher is better for pitchers; use alongside K/9 to evaluate swing-and-miss ability.

League AvgGood
22%18% or less
Formula
Strikeouts / Plate Appearances x 100

BABIP

Batting Average on Balls In Play

Measures how often balls in play become hits, excluding HR, Ks, and BBs. Used to evaluate luck and defense effects. League average is ~.300.

League AvgGood
.300.320
Formula
(H − HR) ÷ (AB − K − HR + SF)

Chase%

Chase Rate (Out-of-Zone Swing Rate)

How often a batter swings at pitches outside the strike zone. For batters, lower is better — 20% or below is elite plate discipline. From the pitcher's side, a pitch that induces a high chase rate is an elite put-away weapon. Used alongside BB% to evaluate pitch recognition.

League AvgGood
30%25% or less
Formula
Out-of-Zone Swings ÷ Out-of-Zone Pitches × 100

wRAA

Weighted Runs Above Average

An absolute measure of how many more runs a batter contributes compared to a league-average hitter. While wRC+ is a relative (100-scale) metric, wRAA expresses value in actual runs. Zero is exactly league average; 40+ in a single season is MVP-caliber offense.

League AvgGood
020
Formula
(Batter's wOBA − League wOBA) ÷ wOBAscale × PA

HR

Home Runs

Total home runs hit. A counting stat that scales with playing time, so compare rates with AB/HR or ISO when judging raw power. For a qualified hitter, 30+ marks a middle-of-the-order bat and 40+ puts a player among the league's premier sluggers.

League AvgGood
1530
Formula
Sum of home runs

Pitching Stats

ERA

Earned Run Average

The most common pitching stat. Measures how many earned runs a pitcher allows per 9 innings. Lower is better. Under 3.00 is ace-level, though ERA is influenced by defense — pair it with FIP for a fuller picture.

League AvgGood
4.153.50
Formula
Earned Runs ÷ Innings Pitched × 9

ERA is a rate stat with Innings Pitched (IP) in the denominator, so early-season numbers can swing wildly until the sample stabilizes. A reasonable benchmark is at least 30 IP before comparing starters, and reaching the qualified threshold (1.0 × team games, i.e. 162 IP) before drawing season-level conclusions. A reliever with only 5 IP can show an ERA of 0.00 or 13.50, but that's almost entirely sample noise — the same pitcher's ERA after crossing 100 IP tends to converge sharply toward his true talent and final-season number. To separate the pitcher's own performance from defensive support, compare ERA against FIP (which only uses strikeouts, walks, and home runs); a large ERA-FIP gap is a flag for luck or defense rather than skill. Yamamoto's 2025 ERA of 2.49 over 173.2 IP clears the qualified threshold, so the number is reliable. Sasaki's 4.46 over 36.1 IP and Ohtani's pitching ERA of 2.87 over 47.0 IP are small samples — read them as snapshots, not true talent.

2026 Season Japanese Top 3

MLB Stats API / Statcast aggregation (qualified PA / IP)

Player Examples (2025)

Yoshinobu Yamamoto2.49

WHIP

Walks plus Hits per Inning Pitched

Measures how many baserunners a pitcher allows per inning. Lower is better. Below 1.00 is ace-level.

League AvgGood
1.301.10
Formula
(BB + H) ÷ IP

WHIP shows baserunner volume per inning in a single number. Below 1.00 means almost no traffic — true ace territory. In 2025, Yoshinobu Yamamoto posted 0.99, clearing the sub-1.00 bar (Roki Sasaki, limited to 36.1 innings by injury, finished at 1.43). WHIP is most meaningful for starters; small inning samples make it noisy for relievers. Pair with FIP or SIERA for a read on whether the WHIP is sustainable or driven by sequencing luck.

2026 Season Japanese Top 3

MLB Stats API / Statcast aggregation (qualified PA / IP)

Player Examples (2025)

Yoshinobu Yamamoto0.99

FIP

Fielding Independent Pitching

Estimates a pitcher's effectiveness using only events they control: strikeouts, walks, and home runs. Removes defensive influence from ERA.

League AvgGood
4.153.50
Formula
(13×HR + 3×(BB+HBP) − 2×K) ÷ IP + constant

FIP uses only the three events pitchers control directly — home runs, walks, and strikeouts — removing defense and sequencing luck. When FIP is lower than ERA, the pitcher faced defensive headwinds and ERA should regress downward. In 2025, Yoshinobu Yamamoto's FIP (2.93) nearly matched his ERA (2.49), confirming genuine ace-level skill rather than lucky run sequencing. Below 3.00 is true ace territory for starters.

Player Examples (2025)

Yoshinobu Yamamoto2.93

xFIP

Expected Fielding Independent Pitching

Like FIP, but replaces actual home runs allowed with an expected HR count based on fly-ball rate. Strips out even more luck than FIP, making it a more stable long-term predictor of pitcher performance.

League AvgGood
4.153.50
Formula
(13 x xHR + 3 x (BB+HBP) - 2 x K) / IP + constant

K/9

Strikeouts per 9 Innings

How many batters a pitcher would strike out per 9 innings. Higher means more swing-and-miss ability. 10+ is elite.

League AvgGood
8.510.0
Formula
K ÷ IP × 9

2026 Season Japanese Top 3

MLB Stats API / Statcast aggregation (qualified PA / IP)

Player Examples (2025)

Yoshinobu Yamamoto10.42

BB/9

Walks per 9 Innings

How many walks a pitcher allows per 9 innings pitched. A control metric — lower is better. Below 3.0 signals solid command; below 2.0 is ace-level control.

League AvgGood
3.22.5
Formula
BB ÷ IP × 9

K-BB%

Strikeout Rate minus Walk Rate

A pitcher's strikeout rate minus their walk rate. Captures both dominance (K%) and control (BB%) in a single number. 10%+ is solid, 15%+ is ace-level. Yoshinobu Yamamoto consistently exceeds 20%.

League AvgGood
6%10%
Formula
K% - BB%

HR/9

Home Runs per 9 Innings

How many home runs a pitcher allows per 9 innings. Lower is better. A key component of FIP. Fly-ball pitchers tend to post higher HR/9; ground-ball pitchers typically suppress it.

League AvgGood
1.300.90
Formula
HR Allowed / IP x 9

GB%

Ground Ball Percentage

Percentage of batted balls classified as ground balls. Pitchers with high GB% suppress home runs and rely on their defense. 50%+ identifies a strong ground-ball pitcher. For batters, lower GB% generally produces more extra-base hits.

League AvgGood
43%50%+
Formula
Ground Balls / Batted Ball Events x 100

SIERA

Skill-Interactive ERA

A refined version of xFIP that models interactions between strikeout rate, walk rate, and ground-ball rate. Widely regarded as one of the most reliable single-season ERA predictors. Produces less noise than ERA or xFIP and is better suited for long-term skill evaluation. Tracked by FanGraphs.

League AvgGood
4.153.50
Formula
Multi-factor formula based on K%, BB%, and GB% interactions (FanGraphs)

Whiff%

Whiff Percentage

Percentage of swings that result in a miss. For pitchers, higher is better — a strong Whiff% signals elite pitch movement, and above 30% on a specific pitch marks a true out-pitch. For batters, lower is better, indicating strong contact ability. Best evaluated alongside K/9 and K-BB%.

League AvgGood
24%28%
Formula
Swings and Misses ÷ Total Swings × 100

K

Strikeouts

Total batters retired by strikeout. A pure volume stat for pitchers — heavily influenced by innings pitched. For per-rate evaluation use K/9 (strikeouts per 9 IP) or K% (strikeout share of plate appearances). 200+ over a full starting season is elite-tier.

League AvgGood
150180
Formula
Sum of strikeout outcomes

QS

Quality Starts

A starting pitcher outing of 6+ innings with 3 or fewer earned runs. Captures consistency across a season — a starter who logs 20+ QS in a year typically gives the bullpen a real break. The MLB benchmark for an ace-caliber season is roughly 22+ QS.

League AvgGood
1520
Formula
Starts with IP ≥ 6 AND ER ≤ 3

SV

Saves

Awarded to the relief pitcher who finishes a winning game while protecting a small lead, under specific MLB rules (entering with the tying run on deck, or pitching 3+ innings of effective relief). The most common closer-only stat — 30+ in a season is the benchmark for an established closer.

League AvgGood
2030
Formula
Save situations converted (per MLB Rule 10.19)

Overall Metrics

WAR

Wins Above Replacement

The ultimate all-in-one stat. Estimates how many wins a player adds compared to a replacement-level player. Includes offense, defense, and baserunning. 5+ is All-Star level.

League AvgGood
2.05.0
Formula
Offensive Value + Defensive Value + Baserunning − Replacement Level

SCStatcast Metrics

xBA

Expected Batting Average

Expected batting average based on exit velocity and launch angle. Removes defensive influence to measure true hitting ability. When xBA exceeds AVG significantly, the batter has been unlucky; when AVG exceeds xBA, fortune has been favorable.

League AvgGood
.245.280
Formula
Average of per-hit-ball probability (Statcast calculation)

Calculated by Statcast from exit velocity and launch angle, xBA strips defensive luck from the equation. If xBA exceeds AVG, the batter is likely being hurt by sharp outfield play or bad luck and a rebound is expected. If AVG is much higher than xBA, fortune has been kind but may not last. In 2025, Ohtani's xBA (.274) sat right on his AVG (.282) — his batting average was neither propped up by luck nor suppressed by defense.

2026 Season Japanese Top 3

MLB Stats API / Statcast aggregation (qualified PA / IP)

xwOBA

Expected Weighted On-Base Average

Expected wOBA based on exit velocity, launch angle, and sprint speed. Statcast's measure of true offensive quality. When xwOBA exceeds wOBA, the hitter has been unlucky; when wOBA exceeds xwOBA, fortune has been favorable.

League AvgGood
.310.360
Formula
Average of per-batted-ball weighted on-base value (Statcast calculation)

Exit Velo

Average Exit Velocity

Average speed of the ball off the bat, tracked by Statcast. 90+ mph is a good rate. A core measure of raw power — use it alongside Barrel% and Hard Hit% for a complete picture of contact quality.

League AvgGood
88 mph90 mph
Formula
Total Exit Velocity / Batted Ball Events

Launch Angle

Average Launch Angle

The vertical angle at which the ball leaves the bat (-90 to 90 degrees). Optimal home-run range is roughly 15-35 degrees. Shohei Ohtani consistently hits in the ideal 15-20 degree range. Very low angles produce grounders; very high angles produce pop-ups.

League AvgGood
12 deg15 deg
Formula
Statcast sensor measurement (degrees)

Sprint Speed

Sprint Speed

A player's top running speed in feet per second during full-effort sprints, measured by Statcast. 30+ ft/s is top-tier MLB speed; 27 ft/s or below is below average. Also used to evaluate outfield range.

League AvgGood
27.0 ft/s28.5 ft/s
Formula
Statcast peak 1-second average during full-effort runs (ft/s)

Spin Rate

Spin Rate

The number of rotations a pitch makes per minute (rpm), tracked by Statcast at release. Higher spin on fastballs creates a "rising" illusion that is harder to square up; higher spin on breaking balls amplifies movement. League averages vary by pitch type.

League AvgGood
2200 rpm2400 rpm
Formula
Statcast sensor measurement (rpm: revolutions per minute)

OAA

Outs Above Average

A Statcast defensive metric that measures how many outs a fielder records above or below what an average fielder would produce on comparable plays. Positive values indicate above-average range; +10 or more is Gold Glove territory. Applies to both infielders and outfielders.

League AvgGood
0+5
Formula
Actual Outs Made − Expected Outs Based on Comparable Plays

DRS

Defensive Runs Saved

A defensive metric expressing how many runs a fielder saves relative to a league-average fielder at the same position. Zero is average; positive values mean runs prevented, and +10 or more is Gold Glove territory. Note: Baseball Savant does not publish DRS, so this site shows Fielding Runs Prevented — the same idea of converting defensive value into runs — as a DRS-equivalent figure.

League AvgGood
0+5
Formula
Runs prevented on defense relative to an average fielder

UZR

Ultimate Zone Rating

A FanGraphs defensive metric that derives expected outs from batted-ball trajectory, velocity, and zone, then expresses the gap from an average fielder in runs saved (or lost). UZR is a long-standing peer to OAA, but this site publishes Statcast OAA / Fielding Runs Prevented as the primary defensive read — UZR is referenced here for context only.

League AvgGood
0+5
Formula
Runs Saved on Defense − Expected Runs Saved by an Average Fielder
BATTING × PITCHING BALANCE

Reading Hitter vs. Pitcher Balance at a Glance

Use OPS for hitting power and ERA for pitching dominance — both in one second. We tag a hitter "Hot Bat" when OPS > .800 and a pitcher "Hot Arm" when ERA < 3.50. Current season MLB Stats API snapshot (min. 20 AB / 5 IP).

Hitters — OPS × ISO (Isolated Power)

PlayerOPSISOTag
Shohei Ohtani.934.257Hot Bat
Munetaka Murakami.875.293Hot Bat
Seiya Suzuki.842.209Hot Bat
Masataka Yoshida.746.125Average
Kazuma Okamoto.741.209Average

Pitchers — ERA × K/9 (Strikeouts per 9)

PlayerERAK/9Tag
Shohei Ohtani1.7910.0Hot Arm
Yuki Matsui2.179.3Hot Arm
Yoshinobu Yamamoto2.618.6Hot Arm
Shota Imanaga3.788.9Average
Roki Sasaki4.428.8Average
Tomoyuki Sugano4.965.3Average
Tatsuya Imai5.3211.1Average
Yusei Kikuchi6.259.3Average
Kodai Senga7.7910.7Average

MLB Stats API snapshot (2026 season). Hot Bat = OPS over .800 / Hot Arm = ERA under 3.50. Definitions: OPS / ERA / ISO / K/9

WRC+ TIER · MLB BENCHMARK

wRC+ MLB Benchmarks

wRC+ measures total run creation with park adjustments, scaled so 100 equals the league average. Read it on a four-tier ladder: 100 = League Average, 120 = All-Star, 150 = MVP candidate, 165+ = Historic. The quick-reference table below shows where each Japanese MLB player stands right now.

MLB Benchmarks (4-tier)

wRC+ ValueTierMeaning
165+HistoricOnly a few per season — Bonds / Trout / Judge tier
150–164MVP TierTop-5 MVP candidate per league
120–149All-StarAround the All-Star selection line
100–119League AvgAverage to slightly above — solid regular
<100Below AvgBelow the league average bat

Japanese MLB Players — Current wRC+ Estimate

PlayerwRC+ Est.OPSTier
Shohei Ohtani159.934MVP Tier
Munetaka Murakami142.875All-Star
Seiya Suzuki134.842All-Star
Masataka Yoshida109.746League Avg
Kazuma Okamoto105.741League Avg

Estimated via the OPS+ formula (100 × ((OBP / lgOBP) + (SLG / lgSLG) - 1)) applied to MLB Stats API OBP / SLG (2026 season). Uses lgOBP=.318 / lgSLG=.400 as MLB baselines. Pitchers are excluded since wRC+ measures batting. The official FanGraphs wRC+ applies more precise park adjustments and can differ by a few points. See the OPS / ERA tables above for the full 14-player roster. Definitions: wRC+ / OPS / OPS+

Benchmark Guide

Reference benchmarks for league average, good, and elite performance levels.

MetricLeague AvgGoodElite
AVG.250.280.300+
OBP.320.350.370+
SLG.400.450.500+
OPS.720.820.950+
wRC+100130160+
OPS+100130160+
wOBA.320.370.420+
Barrel%8.6%12%15%+
ISO.140.200.250+
Hard Hit%36%40%48%+
BB%8.0%10.0%13.0%+
K%22%18% or less14% or less
Chase%30%25% or less20% or less
wRAA02040+
HR153040+
ERA4.153.50< 3.00
WHIP1.301.10< 1.00
FIP4.153.50< 3.00
xFIP4.153.50< 3.00
K/98.510.012.0+
BB/93.22.5< 2.0
K-BB%6%10%15%+
HR/91.300.90< 0.70
GB%43%50%+58%+
SIERA4.153.50< 3.00
Whiff%24%28%33%+
K150180200+
QS152025+
SV203040+
WAR2.05.08.0+
xBA.245.280.320+
xwOBA.310.360.400+
Exit Velo88 mph90 mph92+ mph
Launch Angle12 deg15 deg18 deg
Sprint Speed27.0 ft/s28.5 ft/s30.0+ ft/s
Spin Rate2200 rpm2400 rpm2500+ rpm
OAA0+5+10+
DRS0+5+10+
UZR0+5+10+
FAQ

Questions We Get Most Often

Q1What is OPS and why is it more useful than batting average?

OPS (On-base Plus Slugging) combines on-base percentage and slugging percentage to measure overall offensive value. Unlike batting average which only counts hits, OPS accounts for walks and extra-base hits. The MLB average is around .720, and 1.000+ is elite.

Q2Is a wRC+ of 100+ considered good?

wRC+ (Weighted Runs Created Plus) uses 100 as the league average. Anything above 100 means above-average performance. 130+ is All-Star caliber, 160+ is MVP territory. It adjusts for ballpark effects, making fair cross-era comparisons possible.

Q3What's the difference between ERA and FIP?

ERA (Earned Run Average) reflects actual runs allowed, which is influenced by defense and luck. FIP (Fielding Independent Pitching) uses only strikeouts, walks, and home runs to isolate what the pitcher actually controlled. If a pitcher's FIP is lower than ERA, the defense may have cost them runs.

Q4What is Hard Hit% and why does it matter?

Hard Hit% measures the percentage of batted balls hit at 95+ mph (≈153 km/h). Tracked by Statcast, it reflects pure power and contact quality. 40%+ is a good rate, while elite sluggers like Shohei Ohtani exceed 55%. It's used alongside Barrel% to evaluate hit quality.

Q5Why is BB% (Walk Percentage) an important stat?

BB% (Walk Percentage) shows how often a batter draws a walk per plate appearance. A higher BB% signals strong plate discipline and boosts on-base percentage. The MLB average is around 8%, and 10%+ indicates excellent pitch recognition. Shohei Ohtani's 15.0% BB% in 2025 also reflects pitchers' reluctance to challenge him.

Q6How does WAR translate to a player's contract value?

WAR is commonly used as a benchmark in salary negotiations. In today's MLB market, 1 WAR is valued at roughly $8–10 million. A player worth 5 WAR (All-Star level) would be valued at approximately $40–50 million. Two-way players like Shohei Ohtani accumulate value on both sides of the ball, so their WAR stands out — and their contracts follow. (Note that FanGraphs and Baseball-Reference compute WAR differently, so always check the source.)

Q7What is wOBA and how does it differ from OPS?

wOBA (Weighted On-Base Average) assigns different weights to each offensive outcome — walks, singles, doubles, triples, and home runs — rather than simply adding OBP and SLG like OPS does. This makes it a more accurate predictor of run production. The MLB average is around .320, and .380+ is considered excellent.

Q8What is a good Barrel rate (Barrel%)?

A Barrel is defined by Statcast as a batted ball hit at 98+ mph with a launch angle of 26–30 degrees — a combination that produces elite outcomes. The MLB average is 8.6% (2025); 12%+ puts a hitter in the top 25% of qualified batters. Shohei Ohtani's 23.5% Barrel rate in 2025 was one of the highest in the Statcast era and a strong predictor of home run power.

Q9How do I read strikeout rate (K/9)?

K/9 (Strikeouts Per 9 Innings) counts how many batters a pitcher strikes out over 9 innings. The MLB average is around 8.5 K/9; 10.0+ is elite. Yoshinobu Yamamoto posted 10.42 K/9 in 2025, showing front-line swing-and-miss stuff. High K/9 also tends to lower FIP since strikeouts remove defensive variability from the equation.

Q10Which MLB stats can I track on this site?

The player list (/players) shows batting average, home runs, OPS, ERA, and WAR updated daily. Individual player pages (/players/[name]) offer deeper sabermetrics: wRC+, FIP, wOBA, Barrel%, K/9, L/R splits, and recent form trends. Use this glossary page to look up any unfamiliar stat.

Q11What is Sprint Speed and how does Statcast measure it?

Sprint Speed is a Statcast metric that measures a player's top running speed in feet per second during peak sprint efforts (15–90 feet from first movement). The MLB average is around 27 ft/s, and 28+ ft/s is elite speed. It's the gold standard for quantifying baserunning ability and outfield range.

Q12What does BABIP tell us about luck in baseball?

BABIP (Batting Average on Balls In Play) measures how often batted balls fall for hits. The MLB average is around .300. If a pitcher's BABIP is much higher than .300, they may be unlucky and due for regression. If a hitter's BABIP is unusually high, it may not be sustainable. BABIP is a key tool for separating true skill from luck.

Q13What is Spin Rate and why does it affect pitch movement?

Spin Rate (measured in RPM by Statcast) indicates how fast a baseball rotates after release. Higher spin rate on a fastball creates more backspin, causing it to appear to rise and be harder to hit. Breaking balls with high spin have sharper horizontal or vertical movement. Elite spin rates are 2,400+ RPM for fastballs and 2,600+ RPM for curveballs.

Q14What is OAA (Outs Above Average) in defensive metrics?

OAA (Outs Above Average) is a Statcast-based defensive metric that measures how many outs a fielder creates above or below what a replacement-level fielder would. Positive OAA indicates above-average defense; negative means below average. It accounts for the difficulty of each play using routes, speed, and opportunity data. A score of +10 OAA in a season is elite.

Q15What is K% (Strikeout Percentage) and how is it different from K/9?

K% measures the percentage of plate appearances that end in a strikeout, while K/9 measures strikeouts per 9 innings. K% is generally considered more reliable because it's not affected by the number of baserunners (which inflate innings). The MLB average K% for pitchers is around 22%; 28%+ is elite. For batters, a K% below 20% is generally preferred.

Q16How do Japanese NPB stats compare to MLB performance levels?

NPB (Japanese professional baseball) is generally considered one to two tiers below MLB. A rough conversion suggests a strong NPB hitter will see OPS drop roughly 50–100 points in MLB. Pitchers often see ERA increase by 1–2 points. However, elite NPB performers like Shohei Ohtani and Yoshinobu Yamamoto have proven that top Japanese talent translates to MLB All-Star caliber performance.

Q17Why do analysts use park-adjusted stats instead of raw numbers?

Ballpark dimensions and environmental factors vary widely across MLB stadiums. Coors Field in Denver has thin air that inflates offense, while Dodger Stadium suppresses home runs. Park-adjusted stats like wRC+, OPS+, and ERA+ normalize for these factors, allowing fair player comparisons across different home stadiums. A .280 batting average in Dodger Stadium is more impressive than the same average at Coors Field.

Q18What is wRC+ and how should I use it to compare hitters?

wRC+ (Weighted Runs Created Plus) scales offense so 100 always equals league average and adjusts for ballpark effects. A wRC+ of 130 means 30% better than average; 160+ is MVP-caliber. Because it accounts for park factors, you can fairly compare a slugger at hitter-friendly Coors Field against one at Dodger Stadium — something raw OPS cannot do. In 2025, Shohei Ohtani's .418 wOBA was historically elite, far clear of the next-best Japanese MLB hitter (Seiya Suzuki, .343).

Q19How do I read OPS to tell if a hitter is above average, good, or elite?

The OPS ladder is easy to memorize: below .700 is below average, .750 is solid, .800 is good, .900 is excellent, and 1.000+ marks a superstar. OPS adds On-Base Percentage (OBP) and Slugging Percentage (SLG), rewarding both plate discipline and power. One limitation: OPS doesn't adjust for ballpark, so pair it with wRC+ or OPS+ when comparing players across different teams or eras.

Q20What makes a Barrel in Statcast terms, and why does Barrel rate predict home runs so well?

Statcast defines a Barrel as any batted ball hit at 98+ mph with a launch angle of 26–30 degrees — a combination that historically produces a batting average above .500 and slugging above 1.500. That outcome profile is as close to a guaranteed hit as baseball gets, which is why Barrel% is among the strongest predictors of home-run output. The MLB average is 8.6%; 12%+ marks a premier power hitter; Shohei Ohtani's 23.5% in 2025 is among the highest ever measured in the Statcast era.

Q21How do I read OPS and ERA together to size up a player's batting and pitching impact?

The quick rule: OPS .800+ flags a hitter as above-average (call it a "Hot Bat"), and ERA under 3.50 flags a pitcher as elite (a "Hot Arm"). OPS combines on-base percentage and slugging, so the higher the number the more runs the hitter creates; ERA is earned runs per nine innings, so the lower the better. For two-way Shohei Ohtani, sustaining OPS 1.000+ as a hitter and ERA around 3.00 as a pitcher means he is operating at "Hot Bat × Hot Arm" — a historically rare level. As secondary axes, pair OPS with ISO (raw power) and BB% (plate discipline) on the hitting side, and ERA with K/9 (strikeout rate) and WHIP (baserunners allowed) on the pitching side, since each pair reveals quality hidden by a single headline number. Remember that OPS isn't park-adjusted — hitters in big parks like Dodger Stadium are slightly undersold — and that ERA is influenced by defense, so checking the FIP gap is helpful too.

Q22What are the MLB wRC+ benchmarks? What do 100 / 120 / 150 / 165 each mean?

wRC+ is defined so that 100 equals the MLB league average, and any number above 100 tells you directly how many percent more runs a hitter creates than the average. The standard four-tier ladder is: 100 = League Average, 120+ = All-Star caliber, 150+ = MVP candidate, 165+ = Historic-tier. Sustaining 165+ for a full season is something only Barry Bonds, Mike Trout, Aaron Judge and a handful of others have done since the 1990s — Shohei Ohtani posted a 1.014 OPS and a .418 wOBA in 2025, which places him at the top of the NL once park adjustments are applied. wRC+ tracks OPS+ closely but applies more precise park adjustments, so hitters in big parks like Dodger Stadium tend to look better on wRC+ than on raw OPS.

Q23How are IP (Innings Pitched) and ERA related? Why is early-season ERA so volatile?

ERA is calculated as Earned Runs ÷ Innings Pitched × 9, so when the denominator IP is small, even one or two earned runs can swing the number dramatically. Three innings with two earned runs produces ERA 6.00; zero earned runs produces 0.00 — both extreme values that reflect sample size rather than true ability. The MLB qualifying threshold is 1.0 × team games (about 162 IP per season). For meaningful comparison, look for at least 30 IP for early reads and the qualified line for full-season evaluation. Early-season ERA outliers tend to converge toward each pitcher's FIP (defense-independent ERA estimator) and K/9 as IP accumulates. Our glossary Top-3 rankings use a minimum threshold of 5 IP to exclude extreme reliever ERAs from short samples.

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Japanese MLB PlayersShohei Ohtani StatsAt-Bat AnalysisCareer Milestones