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 | Heliot Ramos 10 games | SF vs COL@SFG | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1102 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | TB | 1.5 | +165 | 0.8 | -0.7 | 1/5 | -0.9 | 29 | F | 0.0 | LOSS | WIN | |
| 1103 | MLB | Henry Davis 10 games | PIT vs MIL@PIT | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1104 | MLB | Hunter Goodman 10 games | COL vs COL@SFG | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1105 | MLB | Hunter Goodman 10 games | COL vs COL@SFG | RBI | 0.5 | +180 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1106 | MLB | Ian Happ 10 games | CHC vs CHC@CIN | HR | 0.5 | +360 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1107 | MLB | Ian Happ 10 games | CHC vs CHC@CIN | R | 0.5 | +145 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1108 | MLB | Isaac Paredes 10 games | HOU vs HOU@TEX | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1109 | MLB | Isaac Paredes 10 games | HOU vs HOU@TEX | RBI | 0.5 | +214 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 1110 | MLB | Ivan Herrera 10 games | STL vs ATL@STL | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1111 | MLB | Ivan Herrera 10 games | STL vs ATL@STL | R | 0.5 | -115 | 0.2 | -0.3 | 1/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1112 | MLB | Ivan Herrera 10 games | STL vs ATL@STL | RBI | 0.5 | +204 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1113 | MLB | J.P. Crawford 10 games | SEA vs SEA@TBR | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1114 | MLB | J.P. Crawford 10 games | SEA vs SEA@TBR | RBI | 0.5 | +260 | 0 | -0.5 | 0/5 | +0 | 29 | F | 3.0 | WIN | LOSS | |
| 1115 | MLB | Jackson Chourio 10 games | MIL vs MIL@PIT | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1116 | MLB | Jackson Holliday 10 games | BAL vs KCR@BAL | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1117 | MLB | Jackson Holliday 10 games | BAL vs KCR@BAL | R | 0.5 | +130 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1118 | MLB | Jackson Merrill 10 games | SD vs TOR@SDP | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1119 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1120 | MLB | Jacob Wilson 10 games | ATH vs Athletics@ | RBI | 0.5 | +235 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1121 | MLB | Jacob Young 10 games | WSH vs NYY@WSN | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1122 | MLB | Jake McCarthy 10 games | COL vs COL@SFG | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 1123 | MLB | Jakob Marsee 10 games | MIA vs CLE@MIA | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1124 | MLB | James Outman 10 games | DET vs PHI@DET | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1125 | MLB | Jared Triolo 10 games | PIT vs MIL@PIT | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1126 | MLB | Jared Triolo 10 games | PIT vs MIL@PIT | RBI | 0.5 | +266 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 2.0 | WIN | LOSS | |
| 1127 | MLB | Jarren Duran 10 games | BOS vs BOS@NYM | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1128 | MLB | Jarren Duran 10 games | BOS vs BOS@NYM | TB | 1.5 | +155 | 0.6 | -0.9 | 1/5 | -0.8 | 29 | F | 1.0 | LOSS | WIN | |
| 1129 | MLB | Javier Sanoja 10 games | MIA vs CLE@MIA | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1130 | MLB | Javier Sanoja 10 games | MIA vs CLE@MIA | RBI | 0.5 | +180 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1131 | MLB | JJ Wetherholt 10 games | STL vs ATL@STL | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1132 | MLB | JJ Wetherholt 10 games | STL vs ATL@STL | RBI | 0.5 | +206 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1133 | MLB | Joc Pederson 10 games | TEX vs HOU@TEX | R | 0.5 | -115 | 0.2 | -0.3 | 1/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1134 | MLB | Joey Meneses 8 games | ATH vs Athletics@ | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1135 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | TB | 1.5 | +150 | 1.4 | -0.1 | 1/5 | -1.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1136 | MLB | Jonathan Aranda 10 games | TB vs SEA@TBR | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1137 | MLB | Jorbit Vivas 10 games | WSH vs NYY@WSN | R | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1138 | MLB | Jorge Polanco 4 games | NYM vs BOS@NYM | HR | 0.5 | +475 | 0 | -0.5 | 0/4 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1139 | MLB | Jorge Soler 10 games | LAA vs LAA@MIN | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1140 | MLB | Jose Caballero 10 games | NYY vs NYY@WSN | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1141 | MLB | Josh Bell 10 games | MIN vs LAA@MIN | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1142 | MLB | Josh Jung 10 games | TEX vs HOU@TEX | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1143 | MLB | Josh Kuroda-Grauer 10 games | vs Athletics@ | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1144 | MLB | Josh Kuroda-Grauer 10 games | vs Athletics@ | R | 0.5 | +135 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1145 | MLB | Josh Kuroda-Grauer 10 games | vs Athletics@ | RBI | 0.5 | +226 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1146 | MLB | Josh Lowe 10 games | LAA vs LAA@MIN | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1147 | MLB | Josh Naylor 10 games | SEA vs SEA@TBR | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1148 | MLB | Jung Hoo Lee 10 games | SF vs COL@SFG | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1149 | MLB | Jung Hoo Lee 10 games | SF vs COL@SFG | R | 0.5 | +130 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1150 | MLB | Jung Hoo Lee 10 games | SF vs COL@SFG | RBI | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.2 | 29 | 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.