Leaders

Season-to-date · 753 games played · batting min 59 PA · pitching min 57 outs

Batting · Headline

PAVG Top 10
1 Keito Kaneko YBC 0.661
2 Jean Polanco PPS 0.639
3 Don Wild SDC 0.639
4 Sukhwinder Bedi HCC 0.638
5 Mohun Sharma EI 0.633
6 Dennis McMichael PPS 0.619
7 Vladimir Soto KH 0.618
8 Arnav Khanna GS 0.605
9 Takao Tanaka SK 0.586
10 Jimmy Abajian RE 0.583
OPS Top 10
1 Sukhwinder Bedi HCC 2.232
2 Arnav Khanna GS 2.132
3 Dennis McMichael PPS 2.111
4 Jean Polanco PPS 2.033
5 Don Wild SDC 2.016
6 Tony Feliz MCP 2.000
7 Benjamin Maledon ŽS 1.985
8 Keito Kaneko YBC 1.935
9 Rómulo Ortega SDC 1.923
10 Takao Tanaka SK 1.914
wOBA Top 10
1 Sukhwinder Bedi HCC 1.241
2 Arnav Khanna GS 1.178
3 Dennis McMichael PPS 1.176
4 Tony Feliz MCP 1.084
5 Don Wild SDC 1.027
6 Kallen Langlois MCP 1.006
7 Jean Polanco PPS 1.001
8 Eriq Carmona LM 0.988
9 Rómulo Ortega SDC 0.988
10 Mujeeb Hassan GS 0.983

Batting · Power & Counting

FO% Top 10
1 Luke Singleton MB 0.145
2 Pramod Boettcher PPS 0.131
3 Manolo Villa FCW 0.129
4 Junzo Miyake SCJ 0.119
5 Simon Mukamurenzi NP 0.119
6 Aroldis Viciedo MCB 0.109
7 Zakaria Thiam PC 0.109
8 Luis García CF 0.103
9 Iván Sosa SPL 0.102
10 Jon Scroggins TF1 0.102

Batting · O27-Native & Value

2C-Conv% Top 10
1 Keito Kaneko YBC 1.000
2 Oribe Franklin PDR 1.000
3 Hank Beach MCB 1.000
4 Pramod Boettcher PPS 1.000
5 Dennis McMichael PPS 1.000
6 Iván Sosa SPL 1.000
7 Andi Pranoto KTH 1.000
8 Mardy Betz RE 1.000
9 Rajdeep Sen GS 1.000
10 Roshan Matthews VB 1.000
2C-RBI% Top 10
1 Roshan Matthews VB 0.286
2 Charles Damico SDC 0.250
3 Bjorn Artisov GP 0.231
4 Mohun Sharma EI 0.161
5 Dominique Wittenberg MF 0.154
6 Maurion Dawkins NYP 0.136
7 Jesse Brook BNS 0.130
8 Dylan Farooq SL 0.125
9 Takao Tanaka SK 0.125
10 Iván Sosa SPL 0.121

Batting · Runner Advancement

1B% Top 10
1 Tony Feliz MCP 0.833
2 Maurizio Cernoia BNS 0.821
3 Henk Pérez OB 0.811
4 Kallen Langlois MCP 0.810
5 Jae-ho Kang HM1 0.810
6 Irvin Kaye MB 0.800
7 Rajdeep Sen GS 0.794
8 Chidera Badio NYL 0.792
9 Arnav Khanna GS 0.789
10 Benjamin Maledon ŽS 0.789

Batting · Clutch (RISP)

Performance with runners in scoring position (a runner on 2B and/or 3B at the PA's start). PA-denominated like the headline rates. The recorded-outcome companion to the engine's RISP-pressure model — how well a bat actually cashes runners in. Qualified hitters only (min PA).

Batting · Small Ball

Bunting production. SH = successful sacrifices; Bunt H = bunt singles (drag / beaten-out, a subset of hits); Squeeze RBI = runs driven home from third on a squeeze.

Batting · MLB-Equivalent Rates (XO Crossover)

O27 rate stats z-anchored to MLB league mean and spread, so the numbers read like MLB stats. Rank order is identical to the Native cards above — only the numbers translate. Always shown; the toggle at the top affects the Native cards only.
AVG XO Top 10
1 Benjamin Maledon ŽS 0.317
2 Keito Kaneko YBC 0.308
3 Jean Polanco PPS 0.300
4 Mohun Sharma EI 0.298
5 Sukhwinder Bedi HCC 0.294
6 Takao Tanaka SK 0.292
7 Don Wild SDC 0.292
8 Rómulo Ortega SDC 0.291
9 Vladimir Soto KH 0.287
10 Dann Zinderstein MF 0.285
OBP XO Top 10
1 Benjamin Maledon ŽS 0.405
2 Keito Kaneko YBC 0.391
3 Mohun Sharma EI 0.379
4 Jean Polanco PPS 0.378
5 Rómulo Ortega SDC 0.374
6 Takao Tanaka SK 0.373
7 Sukhwinder Bedi HCC 0.371
8 Irvin Kaye MB 0.370
9 Dominique Wittenberg MF 0.368
10 Don Wild SDC 0.366
SLG XO Top 10
1 Dennis McMichael PPS 0.562
2 Sukhwinder Bedi HCC 0.537
3 Jae-ho Kang HM1 0.536
4 Tony Feliz MCP 0.534
5 Benjamin Maledon ŽS 0.533
6 Don Wild SDC 0.530
7 Arnav Khanna GS 0.526
8 Jean Polanco PPS 0.523
9 Kallen Langlois MCP 0.512
10 Takao Tanaka SK 0.507
OPS XO Top 10
1 Benjamin Maledon ŽS 0.931
2 Dennis McMichael PPS 0.915
3 Sukhwinder Bedi HCC 0.906
4 Jean Polanco PPS 0.898
5 Don Wild SDC 0.894
6 Tony Feliz MCP 0.890
7 Arnav Khanna GS 0.886
8 Jae-ho Kang HM1 0.882
9 Keito Kaneko YBC 0.877
10 Rómulo Ortega SDC 0.874
wOBA XO Top 10
1 Dennis McMichael PPS 0.408
2 Jae-ho Kang HM1 0.395
3 Sukhwinder Bedi HCC 0.395
4 Tony Feliz MCP 0.394
5 Benjamin Maledon ŽS 0.393
6 Arnav Khanna GS 0.387
7 Don Wild SDC 0.385
8 Kallen Langlois MCP 0.382
9 Jean Polanco PPS 0.381
10 Eriq Carmona LM 0.380

Fielding

PO/E credited per fielder via position-weighted attribution on each ball in play. Rate cards (FldPct, fewest errors) require ≥ 19 chances.

Power Play · Defense (the nickel)

The 10th defender. Counting lines for players deployed as the nickel fielder while their league runs the Power Play rule.

Power Play · Short-handed Offense

How hitters fared while the opposing defense had its nickel deployed — a man down against a loaded defense.

Power Play · Pitching

How a pitcher fared with the nickel deployed behind him. K% / BB% are his own (they never reach the extra fielder); BABIP reflects the loaded defense behind him.
PP-BABIP Top 10
1 Laurent Conte BIC 0.000
2 Hugo Toney BIC 0.000
3 Cahya Yudhoyono JF 0.000
4 Yunis Farouk KTH 0.000
5 Onuralp Lekweiry KTH 0.000
6 Udanta Anand KTH 0.000
7 Raj Khangura KTH 0.000
8 Inzamam Khan KTH 0.000
9 Vinit Dwivedi KTH 0.000
10 Saud Mughal GS 0.000
BABIP Δ Top 10
1 Cahya Yudhoyono JF -1.000
2 Saud Mughal GS -1.000
3 Vusumuzi Mkhize OH -1.000
4 Alexander Schukin GP -1.000
5 Sunil Pokharel EI -1.000
6 Tariq Akhtar DAF -1.000
7 Ayoze Muñoz KRM -1.000
8 Egor Semyonov PC -1.000
9 Udanta Anand KTH -0.833
10 Bao Qi SPD -0.750

Pitching · Result-Tier (the trio)

xRA Top 10
1 Terry Freedov NP 5.27
2 Ha-jun Moon HM1 5.36
3 Jamier Cacic CGT 5.89
4 Kengo Takahashi BT 6.34
5 Naoto Tsujino TF 6.60
6 Cormani Monreal BIC 6.74
7 Rui Qi KBC 6.75
8 Yasuhito Fujimoto SCJ 6.86
9 Tre Herman PAF 7.02
10 Ji-ho Cha SK 7.03
FIP (low) Top 10
1 Egan Gerald BB 7.18
2 Chet Naeve CB 7.73
3 Cormani Monreal BIC 7.73
4 Stepan Jeffersonov WBC 7.94
5 Jamier Cacic CGT 7.96
6 Bayasgalan Sukhe DGT 8.02
7 Bogdan Zhemaletdinov ZL 8.03
8 Terry Freedov NP 8.13
9 Zira King MB 8.13
10 Tre Herman PAF 8.18
LateK% Top 10
1 Jong Cone YBC 100.0%
2 Jimmie Fruttero HEE 66.7%
3 Ha-jun Gil QBS 66.7%
4 Makai Barros HM 62.5%
5 Amareon Lukus MCP 58.8%
6 Seok-jin Ko KO 56.2%
7 Tre Herman PAF 55.6%
8 Durell Blanch CNC 54.5%
9 Eddie McCauliff BB1 52.0%
10 Yuli Viciedo MCB 50.0%

Pitching · Workload & Stuff

FO% Top 10
1 Dong-hyun Kwak QBS 0.121
2 Yuli Viciedo MCB 0.119
3 Naoto Tsujino TF 0.113
4 Jun-seo Hong NE 0.111
5 Vinod Kumar JF 0.105
6 Tre Herman PAF 0.101
7 Bao Qi SPD 0.099
8 Woo-sung Bae FCW 0.098
9 Faisal Sulaiman GS 0.097
10 Theodore McCree GB 0.094
K/BB Top 10
1 Edward Limar PDR 7.00
2 Jimmie Fruttero HEE 7.00
3 Amareon Lukus MCP 6.43
4 Ha-jun Gil QBS 6.40
5 Stepan Jeffersonov WBC 6.25
6 Egan Gerald BB 6.20
7 Tre Herman PAF 6.00
8 Riley Boston CNC 6.00
9 Chet Naeve CB 5.50
10 Laurent Berry SL 5.00

Pitching · MLB-Equivalent Rates (XO Crossover)

O27 pitcher rates z-anchored to MLB league mean and spread, so the numbers read like MLB stats. Rank order is identical to the Native cards above — only the numbers translate. Always shown; the toggle at the top affects the Native cards only.
OAVG (low) XO Top 10
1 Jamier Cacic CGT 0.217
2 Terry Freedov NP 0.219
3 Naoto Tsujino TF 0.219
4 Clay Shore CB 0.220
5 Rui Qi KBC 0.220
6 Ha-jun Moon HM1 0.221
7 Kengo Takahashi BT 0.221
8 Ji-ho Cha SK 0.222
9 Gene Oosterbaan CGT 0.222
10 Tre Herman PAF 0.222
OOBP (low) XO Top 10
1 Jamier Cacic CGT 0.279
2 Tre Herman PAF 0.279
3 Terry Freedov NP 0.280
4 Jimmie Fruttero HEE 0.280
5 Kengo Takahashi BT 0.281
6 Ángelo Gallardo PAF 0.282
7 Edward Limar PDR 0.284
8 Ji-ho Cha SK 0.287
9 Calvin Hidrogo MCP 0.287
10 Riley Boston CNC 0.287
OSLG (low) XO Top 10
1 Jamier Cacic CGT 0.342
2 Terry Freedov NP 0.343
3 Ha-jun Moon HM1 0.347
4 Naoto Tsujino TF 0.347
5 Ángelo Gallardo PAF 0.349
6 Kengo Takahashi BT 0.349
7 Patrick Chatman BB 0.351
8 Rui Qi KBC 0.353
9 Ji-ho Cha SK 0.355
10 Clay Shore CB 0.356
OOPS (low) XO Top 10
1 Jamier Cacic CGT 0.620
2 Terry Freedov NP 0.622
3 Kengo Takahashi BT 0.629
4 Ángelo Gallardo PAF 0.630
5 Naoto Tsujino TF 0.634
6 Ha-jun Moon HM1 0.639
7 Rui Qi KBC 0.640
8 Ji-ho Cha SK 0.640
9 Tre Herman PAF 0.641
10 Yasuhito Fujimoto SCJ 0.647

Pitching · Counting & Value

Pitching · Walk-Back & MLB-Readable Rates

Walk-Back Stop% is O27-rule-specific (no MLB analog) and stays on native scale across both toggles. ERA / WHIP / K/9 / BB/9 / HR/9 honor the XO toggle when active.

Pitching · Arsenal mix

Pitch-type usage averaged across appearances. Each pitcher's repertoire is sampled per PA (fastball / breaking / off-speed); the catalog and per- pitch K/contact deltas live in o27/config.py:PITCH_CATALOG.

Game Logs · Top 10 of the Season

Pitching · Top 10 Outings (GSc)
Pitcher Tm Game IP H BB K ER GSc
1 Chet Naeve CB CB@LRC 8.2 1 5 14 1 82.8
2 Collin Roeske LAB HMR@LAB 8.2 1 0 15 0 82.4
3 Ji-ho Cha SK NE@SK 9.0 2 2 9 0 81.9
4 Makai Barros HM MCB@HM 9.0 2 0 16 0 81.7
5 Jamier Cacic CGT CGT@BB1 9.0 2 2 12 1 81.2
6 Terry Freedov NP NP@NYL 9.0 2 7 6 1 81.1
7 Jimmie Fruttero HEE HEE@CS 9.0 4 1 12 0 81.0
8 Dong-hyun Kwak QBS QBS@NH 9.0 4 6 6 0 80.9
9 Tatsuma Nishiya SCJ SCJ@WBC 9.0 3 3 13 1 79.0
10 Vinicius Cintrón RE RE@VB 7.1 2 5 5 0 79.0
Batting · Top 10 Games (bGSc)
Batter Tm Game H-AB HR RBI R K bGSc
1 Falgun Chavan GS KKK@GS 8-8 4 10 10 0 100.0
2 Benjamin Maledon ŽS GP@ŽS 8-8 1 10 7 1 100.0
3 Marcus Low SK SK@CCB 7-7 0 6 7 0 100.0
4 Glenn Bulow MB TBC@MB 7-6 2 6 7 0 100.0
5 Kawika McGruder SDC SDC@RDJ 6-7 1 7 8 1 100.0
6 Roland Mills SDC SDC@RDJ 6-6 1 10 6 0 100.0
7 Sagar Lamichhane DAF DAF@GS 6-6 2 7 8 0 100.0
8 Cole Bartkowicz CB CB@NYP 6-6 1 7 9 0 100.0
9 Lawrence Gullett CB CB@NYP 6-8 1 10 6 2 100.0
10 Yoelvis Céspedes LM HM@LM 6-7 0 5 5 1 100.0

Streaks & Milestones

Longest Hit Streaks
1 Sukhwinder Bedi HCC 19 G
2 Takao Tanaka SK 17 G
3 Eriq Carmona LM 17 G
4 Luis García CF 17 G
5 Harris Nunez PDR 16 G
6 Bud Behrens PDR 16 G
7 Ming-che Yeh NE 16 G
8 Tony Feliz MCP 16 G
9 Chia-hsien Hsu SK 16 G
10 Vinod Pandit GS 15 G
No-Hitters
None yet
Perfect Games
None yet

Win Probability & Leverage

Win probability is fit empirically from this league's own outcomes — every PA's pre/post state stamped in game_pa_log is joined to the final winner_id on games, so WP(state) = observed-win-frequency at that state. WPA per PA = WPafter − WPbefore; Leverage Index normalizes RMS swing at each state so league-average LI = 1.0.
Built from 752 games.
WPA (pit) Top 10
1 Woo-sung Min KBK +1.66
2 Nick Inniss KBK +1.57
3 Jimmie Fruttero HEE +1.28
4 Marc Ott CCB +1.26
5 Patrick Chatman BB +1.14
6 Yoelvis Viciedo BB +1.06
7 Bao Qi SPD +0.89
8 Bayasgalan Sukhe DGT +0.84
9 Makai Barros HM +0.77
10 Zira King MB +0.76
LI avg (pit) Top 10
1 Dylan Yim PAF 1.43
2 Jari Mäkelä BNS 1.39
3 Tennys Kerns BB 1.33
4 Jong Cone YBC 1.30
5 Yury Betova LP 1.30
6 Shaq Evans LP 1.28
7 Vinod Kumar JF 1.28
8 Dean Barker OF 1.27
9 Anis Bennacer KKK 1.24
10 Woo-sung Min KBK 1.24

Wallet · Highest Paid

Salary (guilders) Top 25
1 Oribe Franklin · RF PDR ƒ308 crore
2 Robby Spoelstra · RF KBK ƒ293 crore
3 Manabu Hamano · RF TF ƒ271 crore
4 Tamatoa Phillips · RF LP ƒ267 crore
5 Oskar Zieliński · RF BNS ƒ247 crore
6 Samuel Sunzu · RF ŽS ƒ243 crore
7 Kam Bett · RF CF ƒ243 crore
8 Alexey Semyonov · RF NP ƒ239 crore
9 Emmanuel Sotto · RF FCW ƒ236 crore
10 Takuma Terachi · RF KH ƒ233 crore
11 Wael Yehia · LF EI ƒ222 crore
12 Tanook Purdy · 3B MF ƒ222 crore
13 Yuli Moncada · SS HM ƒ222 crore
14 Shamarius Lambert · RF CNC ƒ220 crore
15 Frickson Barroso · LF SK ƒ218 crore
16 Guillermo Ram · RF CS ƒ217 crore
17 Kilian Chaplin · 2B HEE ƒ213 crore
18 Pierre Johnsson · RF BIC ƒ211 crore
19 Miles Levy · RF CGT ƒ208 crore
20 Riad Bensebaini · RF NYL ƒ205 crore
21 Samson Kunkelov · RF TF1 ƒ204 crore
22 Cole Bartkowicz · LF CB ƒ199 crore
23 Leon Cowell · LF OF ƒ197 crore
24 Henrich Tóth · RF CBK ƒ196 crore
25 Yasuhito Hasebe · RF OS ƒ196 crore
Methodology
Batting rates are PA-denominated. PAVG = H/PA; OPS+ / wOBA+ are league-relativized (100 = league avg, higher = better). 2C (Second-Chance ABs) counts contact events where the batter chose to stay (and earned a hit while spending a strike from their AB-budget) instead of run. The load-bearing O27 mechanic. Listed as a counting stat — the underlying rate is 1-3% of PAs league-wide, too small to read as a percentage.

Pitching uses three result-tier metrics that each tell a different story. xRA weights earned runs by arc position (outs 1–9 ×0.85, 10–18 ×1.00, 19–27 ×1.20) and league-anchors to raw ER/27. xRA (Expected Runs Allowed) is a non-negative linear-weights formula — coefficients HR ≈ 1.4, single ≈ 0.45, BB / HBP ≈ 0.32, K / out = 0 — anchored to league RA/27 (all runs). Replaces the previous xFIP column, which produced negative values for high-K small-sample pitchers because the FIP coefficient sign convention. Decay measures late-arc fade (K%_arc1 − K%_arc3 in points; lower = more durable). GSc is a per-appearance Game Score (50 = neutral, 100 = perfection). OS+ is league-relative outs per appearance (100 = avg). PA-rate K% counts foul-outs as Ks. WAR uses an O27-fitted runs-per-win factor (~21 vs MLB's ~10). W/L credits an SP with ≥ 12 outs and the lead, otherwise the most-effective reliever.
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