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TODAY'S JP PLAYERS
LIVE · Kazuma Okamoto vs PIT2-1LIVE · Masataka Yoshida vs MINIn progressLIVE · Kodai Senga @ MIAIn progressRoki Sasaki @ MIL03:10 JSTYoshinobu Yamamoto @ MIL03:10 JSTShohei Ohtani @ MIL03:10 JSTTatsuya Imai @ CHC03:20 JSTShota Imanaga vs HOU03:20 JSTSeiya Suzuki vs HOU03:20 JSTMunetaka Murakami @ SF05:05 JSTYuki Matsui vs OAK05:10 JSTTomoyuki Sugano @ ARI05:10 JSTYu Darvish vs OAK05:10 JSTYusei Kikuchi vs TEX08:20 JSTLIVE · Kazuma Okamoto vs PIT2-1LIVE · Masataka Yoshida vs MINIn progressLIVE · Kodai Senga @ MIAIn progressRoki Sasaki @ MIL03:10 JSTYoshinobu Yamamoto @ MIL03:10 JSTShohei Ohtani @ MIL03:10 JSTTatsuya Imai @ CHC03:20 JSTShota Imanaga vs HOU03:20 JSTSeiya Suzuki vs HOU03:20 JSTMunetaka Murakami @ SF05:05 JSTYuki Matsui vs OAK05:10 JSTTomoyuki Sugano @ ARI05:10 JSTYu Darvish vs OAK05:10 JSTYusei Kikuchi vs TEX08:20 JST
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)

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, Barrel% and Whiff%. 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.

Quick Metric GuideOPS / wRC+ / Barrel% / FIP
OPS
.800+
Good benchmark (Avg .720)
wRC+
130+
Avg = 100 / Ohtani 172
Barrel%
8%+
Elite level (Avg 5% / Ohtani 19%)
FIP
≤3.50
Good level (Avg 4.20)

Batting Stats

AVG

Batting Average

League AvgGoodOhtani 2025 Final
.250.280

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.

Formula: Hits ÷ At-Bats

2026 Season Japanese Top 3

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

OBP

On-Base Percentage

League AvgGoodOhtani 2025 Final
.320.350

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.

Formula: (H + BB + HBP) ÷ (AB + BB + HBP + SF)

2026 Season Japanese Top 3

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

SLG

Slugging Percentage

League AvgGoodOhtani 2025 Final
.400.450

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.

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

League AvgGoodOhtani 2025 Final
.720.8201.050

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.

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 1.050 — his third straight season above 1.000 — while Seiya Suzuki (.838) 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 OhtaniShohei Ohtani1.050
Seiya SuzukiSeiya Suzuki.838
Masataka YoshidaMasataka Yoshida.792

wRC+

Weighted Runs Created Plus

League AvgGoodOhtani 2025 Final
100130195

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 172 wRC+ in 2025, leading the NL for a second straight year.

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 wRC+ 195 — historically elite — with a 65+ point gap over Seiya Suzuki (132) and Munetaka Murakami (130). Use wRC+ when comparing players across different ballparks or eras.

Player Examples (2025)

Shohei OhtaniShohei Ohtani195
Seiya SuzukiSeiya Suzuki132
Masataka YoshidaMasataka Yoshida118

OPS+

On-base Plus Slugging Plus

League AvgGoodOhtani 2025 Final
100130

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 190+ in 2025.

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

wOBA

Weighted On-Base Average

League AvgGoodOhtani 2025 Final
.320.370

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.

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 .438 — 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

League AvgGoodOhtani 2025 Final
6%10%19%

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

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. MLB average sits around 6%; 10%+ marks a genuine power threat; 15%+ is elite. Shohei Ohtani's ~19% Barrel rate in 2025 — among the highest in the Statcast era — was the primary engine behind his 54 home runs.

2026 Season Japanese Top 3

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

Player Examples (2025)

Shohei OhtaniShohei Ohtani19%
Seiya SuzukiSeiya Suzuki10%
Masataka YoshidaMasataka Yoshida8%

ISO

Isolated Power

League AvgGoodOhtani 2025 Final
.140.200.358

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

Formula: SLG − BA

Player Examples (2025)

Shohei OhtaniShohei Ohtani.358
Seiya SuzukiSeiya Suzuki.213
Masataka YoshidaMasataka Yoshida.172

Hard Hit%

Hard Hit Percentage

League AvgGoodOhtani 2025 Final
36%40%55.8%

Percentage of batted balls hit at 95+ mph, tracked by Statcast. Measures raw power and contact quality. 40%+ is a good rate; elite sluggers like Shohei Ohtani regularly exceed 55%.

Formula: Batted Balls ≥ 95 mph ÷ Total Batted Balls × 100

Player Examples (2025)

Shohei OhtaniShohei Ohtani55.8%
Seiya SuzukiSeiya Suzuki44.2%
Masataka YoshidaMasataka Yoshida41.8%

BB%

Walk Percentage

League AvgGoodOhtani 2025 Final
8.0%10.0%14.2%

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.

Formula: Walks ÷ Plate Appearances × 100

Player Examples (2025)

Shohei OhtaniShohei Ohtani14.2%
Seiya SuzukiSeiya Suzuki9.8%
Masataka YoshidaMasataka Yoshida11.3%

K%

Strikeout Percentage

League AvgGoodOhtani 2025 Final
22%18% or less

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.

Formula: Strikeouts / Plate Appearances x 100

BABIP

Batting Average on Balls In Play

League AvgGoodOhtani 2025 Final
.300.320

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

Formula: (H − HR) ÷ (AB − K − HR + SF)

Chase%

Chase Rate (Out-of-Zone Swing Rate)

League AvgGoodOhtani 2025 Final
30%25% or less

How often a batter swings at pitches outside the strike zone. Lower is better — 20% or below is elite plate discipline. Used alongside BB% to evaluate pitch recognition. A low Chase% pressures pitchers to attack the strike zone.

Formula: Out-of-Zone Swings ÷ Out-of-Zone Pitches × 100

wRAA

Weighted Runs Above Average

League AvgGoodOhtani 2025 Final
020

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.

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

Pitching Stats

ERA

Earned Run Average

League AvgGoodOhtani 2025 Final
4.203.50

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.

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 2.49 over 173 IP, Sasaki's ERA 3.20 over 124 IP, and Ohtani's pitching ERA 2.87 over 84 IP are all sample sizes near or above the qualified line, making the numbers genuinely reliable.

2026 Season Japanese Top 3

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

Player Examples (2025)

Yoshinobu YamamotoYoshinobu Yamamoto3.00

WHIP

Walks plus Hits per Inning Pitched

League AvgGoodOhtani 2025 Final
1.301.10

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

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 1.08, placing him among MLB's best starters. 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 YamamotoYoshinobu Yamamoto1.08

FIP

Fielding Independent Pitching

League AvgGoodOhtani 2025 Final
4.203.50

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

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 (3.12) nearly matched his ERA (3.00), confirming genuine ace-level skill rather than lucky run sequencing. Below 3.00 is true ace territory for starters.

Player Examples (2025)

Yoshinobu YamamotoYoshinobu Yamamoto3.12

xFIP

Expected Fielding Independent Pitching

League AvgGoodOhtani 2025 Final
4.203.50

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.

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

K/9

Strikeouts per 9 Innings

League AvgGoodOhtani 2025 Final
8.510.0

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

Formula: K ÷ IP × 9

2026 Season Japanese Top 3

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

Player Examples (2025)

Yoshinobu YamamotoYoshinobu Yamamoto10.8

BB/9

Walks per 9 Innings

League AvgGoodOhtani 2025 Final
3.22.5

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.

Formula: BB ÷ IP × 9

K-BB%

Strikeout Rate minus Walk Rate

League AvgGoodOhtani 2025 Final
6%10%

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%.

Formula: K% - BB%

HR/9

Home Runs per 9 Innings

League AvgGoodOhtani 2025 Final
1.300.90

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.

Formula: HR Allowed / IP x 9

GB%

Ground Ball Percentage

League AvgGoodOhtani 2025 Final
43%50%+

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.

Formula: Ground Balls / Batted Ball Events x 100

SIERA

Skill-Interactive ERA

League AvgGoodOhtani 2025 Final
4.203.50

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.

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

Whiff%

Whiff Percentage

League AvgGoodOhtani 2025 Final
24%28%

Percentage of swings that result in a miss. Higher is better for pitchers — a strong Whiff% signals elite pitch movement and deception. A whiff rate above 30% on a specific pitch is considered a true out-pitch. Best evaluated alongside K/9 and K-BB%.

Formula: Swings and Misses ÷ Total Swings × 100

Overall Metrics

WAR

Wins Above Replacement

League AvgGoodOhtani 2025 Final
2.05.010.5

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.

Formula: Offensive Value + Defensive Value + Baserunning − Replacement Level

Player Examples (2025)

Shohei OhtaniShohei Ohtani10.5
Seiya SuzukiSeiya Suzuki3.8
Masataka YoshidaMasataka Yoshida2.1
Yoshinobu YamamotoYoshinobu Yamamoto4.2

SCStatcast Metrics

xBA

Expected Batting Average

League AvgGoodOhtani 2025 Final
.245.280

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.

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 (.330) exceeded his AVG (.310), suggesting his results could have been even stronger.

2026 Season Japanese Top 3

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

xwOBA

Expected Weighted On-Base Average

League AvgGoodOhtani 2025 Final
.310.360

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.

Formula: Average of per-batted-ball weighted on-base value (Statcast calculation)

Exit Velo

Average Exit Velocity

League AvgGoodOhtani 2025 Final
88 mph90 mph

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.

Formula: Total Exit Velocity / Batted Ball Events

Launch Angle

Average Launch Angle

League AvgGoodOhtani 2025 Final
12 deg15 deg

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.

Formula: Statcast sensor measurement (degrees)

Sprint Speed

Sprint Speed

League AvgGoodOhtani 2025 Final
27.0 ft/s28.5 ft/s

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.

Formula: Statcast peak 1-second average during full-effort runs (ft/s)

Spin Rate

Spin Rate

League AvgGoodOhtani 2025 Final
2200 rpm2400 rpm

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.

Formula: Statcast sensor measurement (rpm: revolutions per minute)

OAA

Outs Above Average

League AvgGoodOhtani 2025 Final
0+5

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.

Formula: Actual Outs Made − Expected Outs Based on Comparable Plays

UZR

Ultimate Zone Rating

League AvgGoodOhtani 2025 Final
0+5

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.

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
Munetaka Murakami.922.302Hot Bat
Shohei Ohtani.883.205Hot Bat
Seiya Suzuki.787.178Average
Kazuma Okamoto.709.195Average
Masataka Yoshida.679.077Average

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

PlayerERAK/9Tag
Yuki Matsui0.0010.8Hot Arm
Shohei Ohtani0.739.9Hot Arm
Yoshinobu Yamamoto3.328.8Hot Arm
Shota Imanaga3.389.4Hot Arm
Tomoyuki Sugano3.864.7Average
Roki Sasaki4.938.6Average
Yusei Kikuchi5.819.6Average
Tatsuya Imai8.3111.1Average
Kodai Senga9.0010.3Average

MLB Stats API snapshot (2026 season). Hot Bat = OPS over .800 / Hot Arm = ERA under 3.50. See the matching glossary anchors above (#ops / #era / #iso / #kper9) for definitions.

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
Munetaka Murakami155.922MVP Tier
Shohei Ohtani147.883All-Star
Seiya Suzuki120.787All-Star
Kazuma Okamoto96.709Below Avg
Masataka Yoshida92.679Below 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 matching glossary anchors (#wrc / #ops / #opsPlus) for definitions and the OPS / ERA tables above for the full 14-player roster.

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%6%10%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+
ERA4.203.50< 3.00
WHIP1.301.10< 1.00
FIP4.203.50< 3.00
xFIP4.203.50< 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%+
SIERA4.203.50< 3.00
Whiff%24%28%33%+
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+
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 ~14% BB% 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. Shohei Ohtani's 10+ WAR seasons align with his record-breaking contract value.

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. Around 5% is the MLB average; 10%+ marks a top-tier power hitter. Shohei Ohtani's ~19% Barrel rate is one of the highest in MLB history 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. Roki Sasaki posted 10.8 K/9, placing him among the game's best. 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 wRC+ 195 was historically elite, over 60 points clear of the next-best Japanese MLB hitter.

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. 6% is MLB average; 10%+ marks a premier power hitter; Shohei Ohtani's ~19% 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 wRC+ 195 in 2025, leading the NL. As reference points, Seiya Suzuki sits around 130 (All-Star tier), and Munetaka Murakami posted wRC+ 160+ levels in his NPB peak. 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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