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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1101 | MLB | William Contreras 10 games | MIL vs MIA@MIL | H | 1.5 | +240 | 0 | -1.5 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1102 | MLB | William Contreras 10 games | MIL vs MIA@MIL | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.1 | 26 | F | 1.0 | LOSS | WIN | |
| 1103 | MLB | Xavier Edwards 10 games | MIA vs MIA@MIL | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.2 | 26 | F | 0.0 | LOSS | WIN | |
| 1104 | MLB | Zach Dezenzo 10 games | HOU vs BAL@HOU | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.1 | 26 | F | 0.0 | LOSS | WIN | |
| 1105 | MLB | Zach McKinstry 10 games | DET vs DET@LAA | H | 1.5 | +300 | 0.4 | -1.1 | 0/5 | -0.4 | 26 | F | 1.0 | LOSS | WIN | |
| 1106 | MLB | Zach Neto 10 games | LAA vs DET@LAA | RBI | 1.5 | +800 | 0 | -1.5 | 0/5 | -0.3 | 26 | F | 0.0 | LOSS | WIN | |
| 1107 | MLB | Adley Rutschman 10 games | BAL vs BAL@HOU | H | 0.5 | -190 | 0.4 | -0.1 | 2/5 | -0.6 | 25 | F | 0.0 | LOSS | WIN | |
| 1108 | MLB | Kevin McGonigle 10 games | DET vs DET@LAA | H | 0.5 | -235 | 0.4 | -0.1 | 2/5 | -0.8 | 25 | F | 2.0 | WIN | LOSS | |
| 1109 | MLB | Kyle Stowers 10 games | MIA vs MIA@MIL | H | 0.5 | -180 | 0.4 | -0.1 | 2/5 | -0.7 | 25 | F | 0.0 | LOSS | WIN | |
| 1110 | MLB | Spencer Torkelson 10 games | DET vs DET@LAA | H | 0.5 | -145 | 0.2 | -0.3 | 1/5 | -0.5 | 25 | F | 2.0 | WIN | LOSS | |
| 1111 | MLB | Taylor Walls 10 games | TB vs TBR@BOS | H | 0.5 | -150 | 0.2 | -0.3 | 1/5 | -0.1 | 25 | F | 0.0 | LOSS | WIN | |
| 1112 | MLB | Victor Robles 10 games | SEA vs SFG@SEA | H | 0.5 | -137 | 0.2 | -0.3 | 1/5 | -0.1 | 25 | F | 0.0 | LOSS | WIN | |
| 1113 | MLB | Adley Rutschman 10 games | BAL vs BAL@HOU | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 1114 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | H | 0.5 | -250 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 2.0 | WIN | LOSS | |
| 1115 | MLB | Austin Martin 10 games | MIN vs MIN@CHC | H | 0.5 | -200 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 0.0 | LOSS | WIN | |
| 1116 | MLB | Brandon Lowe 10 games | PIT vs PIT@CLE | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.7 | 23 | F | 1.0 | LOSS | WIN | |
| 1117 | MLB | Brandon Marsh 10 games | PHI vs NYM@PHI | H | 0.5 | -165 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | 0.0 | LOSS | WIN | |
| 1118 | MLB | Bryan Torres 9 games | STL vs STL@ARI | H | 0.5 | -186 | 0.2 | -0.3 | 1/5 | +0.1 | 23 | F | 0.0 | LOSS | WIN | |
| 1119 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | H | 0.5 | -175 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 0.0 | LOSS | WIN | |
| 1120 | MLB | Carson Kelly 10 games | CHC vs MIN@CHC | H | 0.5 | -165 | 0.4 | -0.1 | 1/5 | +-0 | 23 | F | — | PENDING | PENDING | |
| 1121 | MLB | Colt Keith 10 games | DET vs DET@LAA | H | 0.5 | -200 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | 4.0 | WIN | LOSS | |
| 1122 | MLB | Corbin Carroll 10 games | AZ vs STL@ARI | H | 0.5 | -210 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | 0.0 | LOSS | WIN | |
| 1123 | MLB | Edouard Julien 10 games | COL vs CIN@COL | H | 0.5 | -158 | 0.2 | -0.3 | 1/5 | -0.5 | 23 | F | 1.0 | WIN | LOSS | |
| 1124 | MLB | Ezequiel Tovar 10 games | COL vs CIN@COL | H | 0.5 | -181 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 1.0 | WIN | LOSS | |
| 1125 | MLB | Henry Bolte 10 games | OAK vs WSN@ATHLET | H | 0.5 | -210 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | — | PENDING | PENDING | |
| 1126 | MLB | Heriberto Hernandez 10 games | MIA vs MIA@MIL | RBI | 1.5 | +500 | 0.2 | -1.3 | 0/5 | -0.7 | 23 | F | 0.0 | LOSS | WIN | |
| 1127 | MLB | Jarren Duran 10 games | BOS vs TBR@BOS | H | 0.5 | -160 | 0.2 | -0.3 | 1/5 | -0.2 | 23 | F | 0.0 | LOSS | WIN | |
| 1128 | MLB | Jo Adell 10 games | LAA vs DET@LAA | H | 1.5 | +340 | 0.2 | -1.3 | 0/5 | -0.8 | 23 | F | 0.0 | LOSS | WIN | |
| 1129 | MLB | Jo Adell 10 games | LAA vs DET@LAA | RBI | 1.5 | +700 | 0.2 | -1.3 | 0/5 | -0.8 | 23 | F | 0.0 | LOSS | WIN | |
| 1130 | MLB | Jonah Heim 10 games | OAK vs WSN@ATHLET | RBI | 1.5 | +450 | 0 | -1.5 | 0/5 | -0.9 | 23 | F | 1.0 | LOSS | WIN | |
| 1131 | MLB | Jordan Walker 10 games | STL vs STL@ARI | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.9 | 23 | F | 1.0 | LOSS | WIN | |
| 1132 | MLB | Ke'Bryan Hayes 5 games | CIN vs CIN@COL | H | 0.5 | -220 | 0.2 | -0.3 | 1/5 | +0.1 | 23 | F | — | PENDING | PENDING | |
| 1133 | MLB | Kevin McGonigle 10 games | DET vs DET@LAA | H | 1.5 | +220 | 0.4 | -1.1 | 0/5 | -0.8 | 23 | F | 2.0 | WIN | LOSS | |
| 1134 | MLB | Kody Clemens 10 games | MIN vs MIN@CHC | H | 1.5 | +280 | 0 | -1.5 | 0/5 | -0.9 | 23 | F | 2.0 | WIN | LOSS | |
| 1135 | MLB | Kody Clemens 10 games | MIN vs MIN@CHC | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.8 | 23 | F | 2.0 | WIN | LOSS | |
| 1136 | MLB | Kyle Stowers 10 games | MIA vs MIA@MIL | H | 1.5 | +280 | 0.4 | -1.1 | 0/5 | -0.7 | 23 | F | 0.0 | LOSS | WIN | |
| 1137 | MLB | Kyle Stowers 10 games | MIA vs MIA@MIL | RBI | 1.5 | +475 | 0.2 | -1.3 | 0/5 | -0.8 | 23 | F | 0.0 | LOSS | WIN | |
| 1138 | MLB | Michael Conforto 10 games | CHC vs MIN@CHC | RBI | 1.5 | +550 | 0.2 | -1.3 | 0/5 | -0.6 | 23 | F | — | PENDING | PENDING | |
| 1139 | MLB | Mike Trout 10 games | LAA vs DET@LAA | RBI | 1.5 | +800 | 0.2 | -1.3 | 0/5 | -0.7 | 23 | F | 0.0 | LOSS | WIN | |
| 1140 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TOR | RBI | 1.5 | +450 | 0.2 | -1.3 | 0/5 | -0.6 | 23 | F | 0.0 | LOSS | WIN | |
| 1141 | MLB | Otto Lopez 10 games | MIA vs MIA@MIL | RBI | 1.5 | +700 | 0 | -1.5 | 0/5 | -0.8 | 23 | F | 1.0 | LOSS | WIN | |
| 1142 | MLB | Riley Greene 10 games | DET vs DET@LAA | RBI | 1.5 | +380 | 0 | -1.5 | 0/5 | -0.7 | 23 | F | 1.0 | LOSS | WIN | |
| 1143 | MLB | Ryan Vilade 10 games | TB vs TBR@BOS | H | 0.5 | -210 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | 1.0 | WIN | LOSS | |
| 1144 | MLB | Teoscar Hernandez 10 games | LAD vs LAD@NYY | H | 0.5 | -173 | 0.2 | -0.3 | 1/5 | +0 | 23 | F | — | PENDING | PENDING | |
| 1145 | MLB | Troy Johnston 10 games | COL vs CIN@COL | H | 0.5 | -200 | 0.2 | -0.3 | 1/5 | -0.1 | 23 | F | 0.0 | LOSS | WIN | |
| 1146 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@CLE | H | 0.5 | -136 | 0.2 | -0.3 | 1/5 | -0.7 | 22 | F | 0.0 | LOSS | WIN | |
| 1147 | MLB | Jahmai Jones 10 games | BOS vs TBR@BOS | H | 0.5 | -140 | 0 | -0.5 | 0/5 | -0.2 | 22 | F | 1.0 | WIN | LOSS | |
| 1148 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYY | H | 0.5 | -130 | 0 | -0.5 | 0/5 | -0.8 | 21 | F | — | PENDING | PENDING | |
| 1149 | MLB | Bo Bichette 10 games | NYM vs NYM@PHI | H | 0.5 | -241 | 0.2 | -0.3 | 1/5 | -1 | 20 | F | 0.0 | LOSS | WIN | |
| 1150 | MLB | Freddie Freeman 10 games | LAD vs LAD@NYY | H | 0.5 | -220 | 0.2 | -0.3 | 1/5 | -0.8 | 20 | F | — | PENDING | PENDING |
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.