Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1051 | MLB | William Contreras 10 games | MIL vs MIL@Athlet | RBI | 1.5 | +360 | 0.6 | -0.9 | 0/5 | +0.1 | 29 | F | 3.0 | WIN | LOSS | |
| 1052 | MLB | Willson Contreras 10 games | BOS vs BOS@TBR | R | 1.5 | +700 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1053 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TBR | RBI | 1.5 | +550 | 1 | -0.5 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1054 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TBR | TB | 1.5 | +130 | 1.4 | -0.1 | 1/5 | -0.7 | 29 | F | 1.0 | LOSS | WIN | |
| 1055 | MLB | Xander Bogaerts 10 games | SD vs CIN@SDP | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1056 | MLB | Xander Bogaerts 10 games | SD vs CIN@SDP | R | 0.5 | +138 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 2.0 | WIN | LOSS | |
| 1057 | MLB | Yandy Diaz 10 games | TB vs BOS@TBR | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1058 | MLB | Yohendrick Pinango 5 games | TOR vs PHI@TOR | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1059 | MLB | Yohendrick Pinango 5 games | TOR vs PHI@TOR | R | 0.5 | +300 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1060 | MLB | Zach Neto 10 games | LAA vs HOU@LAA | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | +0 | 29 | F | 1.0 | LOSS | WIN | |
| 1061 | MLB | Zach Neto 10 games | LAA vs HOU@LAA | R | 1.5 | +500 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1062 | MLB | Zack Gelof 10 games | ATH vs MIL@Athlet | H | 1.5 | +400 | 1 | -0.5 | 0/5 | -0.3 | 29 | F | 2.0 | WIN | LOSS | |
| 1063 | MLB | Zack Gelof 10 games | ATH vs MIL@Athlet | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1064 | NBA | Jalen Brunson 10 games | NYK vs SAS | REB | 4.50 | +275 | 3.2 | -1.3 | 1/5 | +0.1 | 28 | F | 5.0 | WIN | LOSS | |
| 1065 | NBA | Mikal Bridges 10 games | NYK vs SAS | 3PM | 2.50 | +340 | 1.2 | -1.3 | 1/5 | +0.4 | 28 | F | 0.0 | LOSS | WIN | |
| 1066 | NBA | Miles McBride 10 games | NYK vs SAS | 3PM | 1.50 | +145 | 1.6 | +0.1 | 2/5 | +0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 1067 | NBA | Victor Wembanyama 10 games | SAS vs NYK | 3PM | 3.50 | +375 | 2.2 | -1.3 | 1/5 | +0.3 | 28 | F | 2.0 | LOSS | WIN | |
| 1068 | MLB | Grayson Rodriguez 4 games | LAA vs HOU@LAA | K | 4.5 | -160 | 4.3 | -0.3 | 2/4 | +0.1 | 28 | F | 6.0 | WIN | LOSS | |
| 1069 | MLB | Jake Meyers 10 games | HOU vs HOU@LAA | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 1070 | MLB | Jonah Heim 10 games | ATH vs MIL@Athlet | H | 0.5 | -159 | 0.4 | -0.1 | 2/5 | -0.3 | 28 | F | 1.0 | WIN | LOSS | |
| 1071 | MLB | Luis Rengifo 10 games | MIL vs MIL@Athlet | H | 0.5 | -220 | 0.4 | -0.1 | 2/5 | +-0 | 28 | F | 0.0 | LOSS | WIN | |
| 1072 | MLB | Patrick Corbin 10 games | TOR vs PHI@TOR | K | 3.5 | -164 | 3.2 | -0.3 | 2/5 | +0.4 | 28 | F | 3.0 | LOSS | WIN | |
| 1073 | MLB | Travis Bazzana 10 games | CLE vs NYY@CLE | H | 0.5 | -200 | 0.6 | +0.1 | 1/5 | +0.1 | 28 | F | 0.0 | LOSS | WIN | |
| 1074 | NBA | Jalen Brunson 10 games | NYK vs SAS | PTS | 27.50 | +110 | 22.8 | -4.7 | 2/5 | -5.1 | 27 | F | 32.0 | WIN | LOSS | |
| 1075 | NBA | Josh Hart 10 games | NYK vs SAS | PTS | 9.50 | +101 | 9.4 | -0.1 | 2/5 | -7.2 | 27 | F | 16.0 | WIN | LOSS | |
| 1076 | NBA | Stephon Castle 10 games | SAS vs NYK | AST | 6.50 | -105 | 5.6 | -0.9 | 1/5 | -2.3 | 27 | F | 5.0 | LOSS | WIN | |
| 1077 | MLB | Leody Taveras 10 games | BAL vs SEA@BAL | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.7 | 27 | F | 1.0 | WIN | LOSS | |
| 1078 | MLB | Steward Berroa 3 games | PHI vs PHI@TOR | H | 0.5 | -122 | 0.3 | -0.2 | 1/3 | +0 | 27 | F | — | PENDING | PENDING | |
| 1079 | NBA | Jalen Brunson 10 games | NYK vs SAS | PTS | 26.50 | -105 | 22.8 | -3.7 | 2/5 | -5.1 | 26 | F | 32.0 | WIN | LOSS | |
| 1080 | NBA | Jose Alvarado 10 games | NYK vs SAS | AST | 1.50 | +148 | 1.2 | -0.3 | 2/5 | +0.8 | 26 | F | 1.0 | LOSS | WIN | |
| 1081 | NBA | Jose Alvarado 10 games | NYK vs SAS | PTS | 3.50 | +165 | 3 | -0.5 | 2/5 | +0.6 | 26 | F | 4.0 | WIN | LOSS | |
| 1082 | NBA | Jose Alvarado 10 games | NYK vs SAS | REB | 2.50 | +375 | 1.6 | -0.9 | 2/5 | +1 | 26 | F | 3.0 | WIN | LOSS | |
| 1083 | NBA | Miles McBride 10 games | NYK vs SAS | AST | 2.50 | +350 | 2.2 | -0.3 | 2/5 | +1 | 26 | F | 0.0 | LOSS | WIN | |
| 1084 | MLB | Adolis Garcia 6 games | PHI vs PHI@TOR | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | -0.2 | 26 | F | — | PENDING | PENDING | |
| 1085 | MLB | Adolis Garcia 6 games | PHI vs PHI@TOR | R | 1.5 | +1000 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1086 | MLB | Adolis Garcia 6 games | PHI vs PHI@TOR | RBI | 1.5 | +600 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | — | PENDING | PENDING | |
| 1087 | MLB | Alec Bohm 10 games | PHI vs PHI@TOR | R | 1.5 | +900 | 0.4 | -1.1 | 0/5 | +0.4 | 26 | F | 0.0 | LOSS | WIN | |
| 1088 | MLB | Alika Williams 8 games | ATH vs MIL@Athlet | H | 1.5 | +340 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 1.0 | LOSS | WIN | |
| 1089 | MLB | Alika Williams 8 games | ATH vs MIL@Athlet | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1090 | MLB | Alika Williams 8 games | ATH vs MIL@Athlet | TB | 1.5 | +180 | 0.4 | -1.1 | 0/5 | +0.3 | 26 | F | 2.0 | WIN | LOSS | |
| 1091 | MLB | Andrew Abbott 10 games | CIN vs CIN@SDP | K | 5.5 | +215 | 3.8 | -1.7 | 0/5 | +0.4 | 26 | F | 6.0 | WIN | LOSS | |
| 1092 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TBR | R | 1.5 | +1300 | 0.4 | -1.1 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1093 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TBR | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1094 | MLB | Ben Rice 10 games | NYY vs NYY@CLE | R | 1.5 | +600 | 0.6 | -0.9 | 0/5 | -0.8 | 26 | F | 2.0 | WIN | LOSS | |
| 1095 | MLB | Ben Williamson 10 games | TB vs BOS@TBR | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN | |
| 1096 | MLB | Blake Perkins 10 games | MIL vs MIL@Athlet | H | 1.5 | +340 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1097 | MLB | Blake Perkins 10 games | MIL vs MIL@Athlet | R | 1.5 | +700 | 0.4 | -1.1 | 0/5 | +0.5 | 26 | F | 1.0 | LOSS | WIN | |
| 1098 | MLB | Blake Perkins 10 games | MIL vs MIL@Athlet | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1099 | MLB | Blake Perkins 10 games | MIL vs MIL@Athlet | TB | 1.5 | +180 | 0.2 | -1.3 | 0/5 | +0.2 | 26 | F | 1.0 | LOSS | WIN | |
| 1100 | MLB | Brayan Rocchio 10 games | CLE vs NYY@CLE | R | 1.5 | +1500 | 0.2 | -1.3 | 0/5 | +0 | 26 | F | 0.0 | LOSS | WIN |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.