NPB · SportsGap
Slate
6 games
NPB · research only
Moneyline leans
182-161-5
-8.8% flat 1u · 348 games since 07/16
Totals leans
195-150-16
+5.4% flat 1u · 361 games since 07/16
Team totals leans
377-360
-5.8% flat 1u · 737 picks since 07/16
Seibu@SoftBank
MLSoftBank-13868.8%+12.4✗
TotalU 7≈+11163.9%+18.2–
TTSeibu U 3.5≈-13470.6%+16.0✗
TTSoftBank U 3.5≈-10454.1%+5.5✓
Lotte@ORIX
MLORIX-14562.7%+5.3✗
TotalO 7+10558.6%+11.6✗
TTLotte O 2.5-13257.4%+3.0✓
TTORIX O 3.5+10255.3%+8.1✗
Nippon-Ham@Rakuten
MLNippon-Ham-13761.7%+5.6✓
TotalU 6.5≈+12450.3%+7.4✗
TTNippon-Ham O 3.5-11052.3%+2.3✓
TTRakuten O 2.5-13252.3%-2.0✓
Chunichi@Yakult
4:00 AM ET
MLChunichi-13050.4%-4.4–
TotalU 8.5≈-14757.8%+0.5–
TTChunichi O 3.5-14053.7%-1.9–
TTYakult U 3.5≈-12457.0%+4.2–
Giants@Hiroshima
MLGiants-10957.1%+6.4✓
TotalO 6-10452.9%+3.7✗
TTGiants O 2.5-14057.9%+2.2✓
TTHiroshima O 2.5-12053.4%+1.3✗
DeNA@Hanshin
MLHanshin-13760.1%+4.0✗
TotalO 6-12653.1%-0.6✗
TTDeNA O 2.5-11754.0%+2.5✓
TTHanshin U 3.5≈-12452.4%-0.4✓
How to read this page

Each row is one game. Model is our model's probability that its pick wins. Book is the probability the sportsbook's price implies once its built-in margin (the vig) is removed, so the two sides add up to 100%. Gap is model minus book, in percentage points: a positive gap means the model likes the pick more than the market does, and the bigger the gap, the more they disagree.

Totals are the combined runs both teams score, over or under the posted number; team totals count one team's runs only. Units is the suggested stake, where 1 unit is whatever amount you normally bet; Pass means no bet. Once a game is final, a green row means the model's pick won and red means it lost. Every result is graded at the price posted before first pitch, and no pick is ever removed afterwards.

A gap is a disagreement, not a guarantee: the market is often right, and good picks still lose often. Never bet more than you can afford to lose.

Research only: no units. Since mid-July the book's prices have been more accurate than the NPB model in every market. The totals model was updated on Oct 5, 2026; its leans are shown and graded here, but nothing is staked until it has a record of its own.

NPB Moneylines

Model win probability for its pick vs. the book's price with the vig removed. Gap is in percentage points.

2-3 · model leans
GameAway / HomeModel pickModelBookGapResult
Seibu@SoftBank
Seibu at SoftBank
+123 / -138SoftBank
68.8%
56.4%+12.4Lost ✗
Giants@Hiroshima
Giants at Hiroshima
-109 / -103Giants
57.1%
50.7%+6.4Won ✓
Nippon-Ham@Rakuten
Nippon-Ham at Rakuten
-137 / +121Nippon-Ham
61.7%
56.1%+5.6Won ✓
Lotte@ORIX
Lotte at ORIX
+128 / -145ORIX
62.7%
57.4%+5.3Lost ✗
DeNA@Hanshin
DeNA at Hanshin
+121 / -137Hanshin
60.1%
56.1%+4.0Lost ✗
Chunichi@Yakult
Chunichi at Yakult
-130 / +115Chunichi
50.4%
54.9%-4.4–

NPB Totals

Model probability on its side of the posted total vs. the book's no-vig price. ≈ marks an under price derived from the over price.

0-4 · model leans
GameTotalOver / UnderLeanModelBookGapResult
Seibu@SoftBank
Seibu at SoftBank
7-130 / ≈+111Under
63.9%
45.6%+18.2Push –
Lotte@ORIX
Lotte at ORIX
7+105 / ≈-122Over
58.6%
47.0%+11.6Lost ✗
Nippon-Ham@Rakuten
Nippon-Ham at Rakuten
6.5-146 / ≈+124Under
50.3%
42.9%+7.4Lost ✗
Giants@Hiroshima
Giants at Hiroshima
6-104 / ≈-112Over
52.9%
49.1%+3.7Lost ✗
Chunichi@Yakult
Chunichi at Yakult
8.5+125 / ≈-147Under
57.8%
57.2%+0.5–
DeNA@Hanshin
DeNA at Hanshin
6-126 / ≈+108Over
53.1%
53.7%-0.6Lost ✗

NPB Team Totals

Each team's runs over or under its posted team total: model vs. the book's no-vig price.

7-3 · model leans
GameTeamTotalOver / UnderLeanModelBookGapResult
Chunichi@Yakult
Chunichi at Yakult
Chunichi3.5-140 / ≈+115Over
53.7%
55.6%-1.9–
Chunichi@Yakult
Chunichi at Yakult
Yakult3.5+102 / ≈-124Under
57.0%
52.8%+4.2–
DeNA@Hanshin
DeNA at Hanshin
DeNA2.5-117 / ≈-103Over
54.0%
51.5%+2.5Won ✓
DeNA@Hanshin
DeNA at Hanshin
Hanshin3.5+102 / ≈-124Under
52.4%
52.8%-0.4Won ✓
Giants@Hiroshima
Giants at Hiroshima
Giants2.5-140 / ≈+115Over
57.9%
55.6%+2.2Won ✓
Giants@Hiroshima
Giants at Hiroshima
Hiroshima2.5-120 / ≈-101Over
53.4%
52.0%+1.3Lost ✗
Lotte@ORIX
Lotte at ORIX
Lotte2.5-132 / ≈+109Over
57.4%
54.3%+3.0Won ✓
Lotte@ORIX
Lotte at ORIX
ORIX3.5+102 / ≈-124Over
55.3%
47.2%+8.1Lost ✗
Nippon-Ham@Rakuten
Nippon-Ham at Rakuten
Nippon-Ham3.5-110 / ≈-110Over
52.3%
50.0%+2.3Won ✓
Nippon-Ham@Rakuten
Nippon-Ham at Rakuten
Rakuten2.5-132 / ≈+109Over
52.3%
54.3%-2.0Won ✓
Seibu@SoftBank
Seibu at SoftBank
Seibu3.5+110 / ≈-134Under
70.6%
54.6%+16.0Lost ✗
Seibu@SoftBank
Seibu at SoftBank
SoftBank3.5-117 / ≈-104Under
54.1%
48.6%+5.5Won ✓
Model's pick wonLost