WO@LT
Kiwoom Heroes at Lotte Giants
MLLT-12562.4%+9.42u✓+1.60u
TotalU 9.5≈-10952.0%+2.2Pass✓
TTWO U 4.5≈-11659.9%+8.62u✓+1.72u
TTLT O 4.5-10254.1%+5.91u✓+0.98u
OB@NC
Doosan Bears at NC Dinos
MLNC-10451.7%+3.11u✗-1.00u
TotalU 10.5≈-11859.5%+7.8Pass✓
TTOB U 5.5≈-13860.1%+4.91u✗-1.00u
TTOB U 4.5≈+11351.4%+6.72u✗-2.00u
TTNC U 4.5≈-10753.0%+3.71u✓+0.93u
KT@LG
KT Wiz at LG Twins
MLLG-16457.1%-2.2Pass✓
TotalU 9.5≈-12053.4%+1.4Pass✓
TTKT O 3.5-13858.4%+3.11u✗-1.00u
TTKT U 4.5≈-13558.4%+3.61u✓+0.74u
TTLG O 4.5-12256.4%+3.91u✗-1.00u
HT@HH
KIA Tigers at Hanwha Eagles
MLHH-16555.9%-3.5Pass✗
TotalU 10.5≈-10855.1%+5.5Pass✓
TTHT U 4.5≈-11354.7%+4.01u✗-1.00u
TTHH U 5.5≈-11555.9%+4.91u✓+0.87u
SK@SS
SSG Landers at Samsung Lions
MLSS-20058.0%-5.5Pass✓
TotalU 12≈-10954.6%+4.8Pass✗
TTSK O 4.5-12152.7%+0.4Pass✗
TTSS U 6.5≈-10854.6%+5.21u✗-1.00u
How units are set
- Moneyline: pass under a 3-point gap, 1u at 3-4, 2u at 4+
- Totals: over: pass under an 8-point gap; under: only when the model gives the under 60%+ with a 3+ point gap; 1u, 2u at a 10+ point gap
- Team totals: pass under a 3-point gap, 1u at 3-6, 2u at 6-10, 3u at 10+
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.
How the units work. Each market stakes by the gap between the model and the book's no-vig price: moneylines pass under 3 points, 1u at 3-4, 2u at 4+; totals bet the over at an 8+ point gap and the under only when the model gives it 60%+ with a 3+ point gap, 1u, 2u at a 10+ point gap; team totals pass under 3, 1u at 3-6, 2u at 6-10, 3u at 10+. Since mid-July the KBO model has been more accurate than the book on moneylines and team totals. On totals only the biggest gaps have won, on a small sample. Late in the season, when exactly one team has nothing left to play for (eliminated, or its final standing is clinched), the moneyline moves 5 points of win probability from that team to the other side: such teams may rest regulars, and the raw model rates them too high. When the moneyline gap is 20 points or more, the whole game is a pass (moneyline, total and team totals): a gap that big usually means the book knows something the model doesn't.
KBO Moneylines
Model win probability for its pick vs. the book's price with the vig removed. Gap is in percentage points. Units: pass under a 3-point gap, 1u at 3-4, 2u at 4+.
+0.60u
1-1 · 1u / 2u rule · 3u risked
| Game | Away / Home | Model pick | Model | Book | Gap | Units | Result |
|---|---|---|---|---|---|---|---|
WO@LT Kiwoom Heroes at Lotte Giants | +103 / -125 | LT | 62.4% | 53.0% | +9.4 | 2u | Won ✓ +1.60u |
OB@NC Doosan Bears at NC Dinos | -117 / -104 | NC | 51.7% | 48.6% | +3.1 | 1u | Lost ✗ -1.00u |
KT@LG KT Wiz at LG Twins | +135 / -164 | LG | 57.1% | 59.4% | -2.2 | Pass | Won ✓ pass |
HT@HH KIA Tigers at Hanwha Eagles | +135 / -165 | HH | 55.9% | 59.4% | -3.5 | Pass | Lost ✗ pass |
SK@SS SSG Landers at Samsung Lions | +161 / -200 | SS | 58.0% | 63.5% | -5.5 | Pass | Won ✓ pass |
Rule record from 10/05 on: 5-3 · -1.17u on 14u · -8.4% ROI
KBO 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. Units: over: pass under an 8-point gap; under: only when the model gives the under 60%+ with a 3+ point gap; 1u, 2u at a 10+ point gap.
4-1 · model leans
| Game | Total | Over / Under | Lean | Model | Book | Gap | Units | Result |
|---|---|---|---|---|---|---|---|---|
OB@NC Doosan Bears at NC Dinos | 10.5 | -102 / ≈-118 | Under | 59.5% | 51.7% | +7.8 | Pass | Won ✓ pass |
HT@HH KIA Tigers at Hanwha Eagles | 10.5 | -112 / ≈-108 | Under | 55.1% | 49.6% | +5.5 | Pass | Won ✓ pass |
SK@SS SSG Landers at Samsung Lions | 12 | -111 / ≈-109 | Under | 54.6% | 49.8% | +4.8 | Pass | Lost ✗ pass |
WO@LT Kiwoom Heroes at Lotte Giants | 9.5 | -111 / ≈-109 | Under | 52.0% | 49.8% | +2.2 | Pass | Won ✓ pass |
KT@LG KT Wiz at LG Twins | 9.5 | -101 / ≈-120 | Under | 53.4% | 52.0% | +1.4 | Pass | Won ✓ pass |
Rule record from 10/06 on: 0-0 · +0.00u on 0u · starts with the next game
KBO Team Totals
Each team's runs over or under its posted team total: model vs. the book's no-vig price. Units: pass under a 3-point gap, 1u at 3-6, 2u at 6-10, 3u at 10+.
-1.75u
5-6 · 1u / 2u / 3u rule · 13u risked
| Game | Team | Total | Over / Under | Lean | Model | Book | Gap | Units | Result |
|---|---|---|---|---|---|---|---|---|---|
HT@HH KIA Tigers at Hanwha Eagles | HT | 4.5 | -107 / ≈-113 | Under | 54.7% | 50.6% | +4.0 | 1u | Lost ✗ -1.00u |
HT@HH KIA Tigers at Hanwha Eagles | HH | 5.5 | -106 / ≈-115 | Under | 55.9% | 51.0% | +4.9 | 1u | Won ✓ +0.87u |
KT@LG KT Wiz at LG Twins | KT | 3.5 | -138 / ≈+113 | Over | 58.4% | 55.3% | +3.1 | 1u | Lost ✗ -1.00u |
KT@LG KT Wiz at LG Twins | KT | 4.5 | +111 / ≈-135 | Under | 58.4% | 54.8% | +3.6 | 1u | Won ✓ +0.74u |
KT@LG KT Wiz at LG Twins | LG | 4.5 | -122 / ≈+101 | Over | 56.4% | 52.5% | +3.9 | 1u | Lost ✗ -1.00u |
OB@NC Doosan Bears at NC Dinos | OB | 5.5 | +113 / ≈-138 | Under | 60.1% | 55.3% | +4.9 | 1u | Lost ✗ -1.00u |
OB@NC Doosan Bears at NC Dinos | OB | 4.5 | -138 / ≈+113 | Under | 51.4% | 44.7% | +6.7 | 2u | Lost ✗ -2.00u |
OB@NC Doosan Bears at NC Dinos | NC | 4.5 | -113 / ≈-107 | Under | 53.0% | 49.4% | +3.7 | 1u | Won ✓ +0.93u |
SK@SS SSG Landers at Samsung Lions | SK | 4.5 | -121 / ≈+100 | Over | 52.7% | 52.3% | +0.4 | Pass | Lost ✗ pass |
SK@SS SSG Landers at Samsung Lions | SS | 6.5 | -113 / ≈-108 | Under | 54.6% | 49.5% | +5.2 | 1u | Lost ✗ -1.00u |
WO@LT Kiwoom Heroes at Lotte Giants | WO | 4.5 | -104 / ≈-116 | Under | 59.9% | 51.3% | +8.6 | 2u | Won ✓ +1.72u |
WO@LT Kiwoom Heroes at Lotte Giants | LT | 4.5 | -102 / ≈-118 | Over | 54.1% | 48.3% | +5.9 | 1u | Won ✓ +0.98u |
Rule record from 10/03 on: 21-10 · +10.11u on 51u · +19.8% ROI
Model's pick wonLost
Recent results
Last 40 graded model leans across moneylines, totals and team totals. Every lean is staked with its market's gap rule (passes left out). ≈ marks an under price derived from the over price.
+12.21u
26-13 · last 40 · 67u risked
| Date | Game | Market | Lean | Price | Model | Result | Stake | Units won |
|---|---|---|---|---|---|---|---|---|
| 10/07 | SS @ KT | Moneyline | SS | -109 | 55.8% | Loss | 2u | -2.00 |
| 10/07 | OB @ LG | Moneyline | LG | -126 | 59.5% | Win | 2u | +1.59 |
| 10/07 | OB @ LG | Team total | OB Under 3.5 | ≈+103 | 50.7% | Loss | 1u | -1.00 |
| 10/07 | OB @ LG | Team total | LG Over 3.5 | -119 | 61.2% | Win | 2u | +1.68 |
| 10/07 | NC @ SK | Moneyline | SK | -170 | 68.0% | Win | 2u | +1.18 |
| 10/07 | NC @ SK | Team total | NC Under 4.5 | ≈-135 | 57.8% | Win | 1u | +0.74 |
| 10/07 | NC @ SK | Team total | SK Over 4.5 | -111 | 61.9% | Win | 3u | +2.70 |
| 10/07 | HH @ WO | Moneyline | HH | -173 | 66.6% | Loss | 2u | -2.00 |
| 10/07 | HH @ WO | Team total | HH Over 4.5 | -120 | 55.5% | Loss | 1u | -1.00 |
| 10/06 | SS @ HT | Team total | SS Over 4.5 | -107 | 54.2% | Win | 1u | +0.93 |
| 10/06 | SS @ HT | Team total | HT Under 5.5 | ≈-114 | 54.0% | Win | 1u | +0.88 |
| 10/06 | OB @ LT | Team total | OB Under 5.5 | ≈-125 | 57.9% | Win | 1u | +0.80 |
| 10/06 | OB @ LT | Team total | LT Under 3.5 | ≈-106 | 53.4% | Win | 1u | +0.94 |
| 10/06 | NC @ LG | Moneyline | LG | -181 | 66.9% | Win | 2u | +1.10 |
| 10/06 | NC @ LG | Team total | LG Over 5.5 | +101 | 50.7% | Win | 1u | +1.01 |
| 10/06 | KT @ WO | Moneyline | KT | -261 | 72.6% | Win | 1u | +0.38 |
| 10/06 | KT @ WO | Team total | KT Over 4.5 | -127 | 57.1% | Win | 1u | +0.79 |
| 10/05 | WO @ HH | Team total | WO Over 4.5 | -110 | 56.5% | Win | 2u | +1.82 |
| 10/05 | SK @ NC | Moneyline | SK | -173 | 64.0% | Win | 1u | +0.58 |
| 10/05 | SK @ NC | Team total | SK Over 4.5 | -130 | 57.4% | Win | 1u | +0.77 |
| 10/05 | OB @ SS | Team total | OB Under 4.5 | ≈-130 | 58.9% | Loss | 1u | -1.00 |
| 10/05 | LT @ KT | Total | Over 9 | -112 | 61.3% | Push | 2u | +0.00 |
| 10/05 | LT @ KT | Team total | LT Under 4.5 | ≈-137 | 59.1% | Win | 1u | +0.73 |
| 10/05 | LT @ KT | Team total | KT Over 4.5 | -110 | 55.1% | Win | 1u | +0.91 |
| 10/05 | HT @ LG | Moneyline | LG | -103 | 58.3% | Loss | 2u | -2.00 |
| 10/05 | HT @ LG | Team total | HT Under 4.5 | ≈-136 | 61.2% | Loss | 2u | -2.00 |
| 10/05 | HT @ LG | Team total | LG Over 3.5 | -111 | 61.6% | Win | 3u | +2.70 |
| 10/04 | WO @ HH | Moneyline | WO | -129 | 59.3% | Win | 2u | +1.55 |
| 10/04 | WO @ HH | Team total | WO Over 4.5 | -135 | 61.1% | Win | 2u | +1.48 |
| 10/04 | WO @ HH | Team total | HH Over 4.5 | +103 | 55.6% | Loss | 2u | -2.00 |
| 10/04 | SK @ NC | Team total | NC Over 4.5 | -110 | 59.5% | Loss | 2u | -2.00 |
| 10/04 | OB @ SS | Total | Under 9.5 | ≈-126 | 67.7% | Loss | 2u | -2.00 |
| 10/04 | OB @ SS | Team total | OB Under 4.5 | ≈-129 | 67.5% | Loss | 3u | -3.00 |
| 10/04 | OB @ SS | Team total | SS Under 4.5 | ≈-115 | 54.1% | Win | 1u | +0.87 |
| 10/04 | LT @ KT | Team total | KT Under 5.5 | ≈-125 | 64.7% | Win | 3u | +2.40 |
| 10/04 | HT @ LG | Moneyline | HT | +107 | 50.3% | Win | 2u | +2.14 |
| 10/04 | HT @ LG | Team total | HT Under 4.5 | ≈+103 | 52.2% | Loss | 1u | -1.00 |
| 10/03 | WO @ HH | Moneyline | WO | +133 | 53.0% | Win | 2u | +2.66 |
| 10/03 | WO @ HH | Team total | WO Over 4.5 | -107 | 59.2% | Win | 2u | +1.87 |
| 10/03 | SK @ NC | Moneyline | SK | +137 | 55.4% | Loss | 2u | -2.00 |