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 | Jake Rogers 10 games | DET vs HOU@DET | H | 1.5 | +550 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 1102 | MLB | Jake Rogers 10 games | DET vs HOU@DET | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1103 | MLB | Jakob Marsee 10 games | MIA vs MIA@STL | H | 1.5 | +260 | 1.2 | -0.3 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 1104 | MLB | Jakob Marsee 10 games | MIA vs MIA@STL | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1105 | MLB | James Outman 10 games | DET vs HOU@DET | H | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1106 | MLB | James Outman 10 games | DET vs HOU@DET | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1107 | MLB | Jared Jones 4 games | PIT vs CIN@PIT | K | 5.5 | +104 | 4.5 | -1 | 1/4 | -0.5 | 32 | F | 4.0 | LOSS | WIN | |
| 1108 | MLB | Jared Young 10 games | NYM vs PHI@NYM | RBI | 0.5 | +209 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1109 | MLB | Jarren Duran 10 games | BOS vs NYY@BOS | H | 1.5 | +300 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 1110 | MLB | Jarren Duran 10 games | BOS vs NYY@BOS | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1111 | MLB | Jarren Duran 10 games | BOS vs NYY@BOS | RBI | 0.5 | +221 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1112 | MLB | Jazz Chisholm Jr. 10 games | NYY vs NYY@BOS | R | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1113 | MLB | Jimmy Crooks 10 games | STL vs MIA@STL | RBI | 0.5 | +219 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 1114 | MLB | JJ Bleday 10 games | CIN vs CIN@PIT | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1115 | MLB | JJ Bleday 10 games | CIN vs CIN@PIT | R | 1.5 | +800 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 1116 | MLB | JJ Bleday 10 games | CIN vs CIN@PIT | RBI | 1.5 | +475 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1117 | MLB | Jo Adell 10 games | LAA vs Athletics@ | H | 1.5 | +280 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 1118 | MLB | Joc Pederson 10 games | TEX vs TEX@TOR | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1119 | MLB | Joc Pederson 10 games | TEX vs TEX@TOR | RBI | 0.5 | +268 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1120 | MLB | Joe Mack 10 games | MIA vs MIA@STL | H | 1.5 | +360 | 1 | -0.5 | 1/5 | +0 | 32 | F | 1.0 | LOSS | WIN | |
| 1121 | MLB | Joe Mack 10 games | MIA vs MIA@STL | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1122 | MLB | John Rave 3 games | KC vs KCR@CHW | H | 1.5 | +500 | 1 | -0.5 | 1/3 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1123 | MLB | John Rave 3 games | KC vs KCR@CHW | HR | 0.5 | +700 | 0.3 | -0.2 | 1/3 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1124 | MLB | John Rave 3 games | KC vs KCR@CHW | R | 1.5 | +2000 | 1 | -0.5 | 1/3 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1125 | MLB | John Rave 3 games | KC vs KCR@CHW | RBI | 0.5 | +300 | 0.3 | -0.2 | 1/3 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1126 | MLB | Jonathan Aranda 10 games | TB vs ARI@TBR | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 1127 | MLB | Jonathan Aranda 10 games | TB vs ARI@TBR | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 1128 | MLB | Jonny Deluca 10 games | TB vs ARI@TBR | H | 1.5 | +320 | 1 | -0.5 | 1/5 | +-0 | 32 | F | — | PENDING | PENDING | |
| 1129 | MLB | Jonny Deluca 10 games | TB vs ARI@TBR | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 1130 | MLB | Jonny Deluca 10 games | TB vs ARI@TBR | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 1131 | MLB | Jonny Deluca 10 games | TB vs ARI@TBR | RBI | 1.5 | +600 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 1132 | MLB | Jorge Soler 10 games | LAA vs Athletics@ | H | 1.5 | +380 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 1133 | MLB | Jorge Soler 10 games | LAA vs Athletics@ | RBI | 0.5 | +175 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1134 | MLB | Jose Caballero 10 games | NYY vs NYY@BOS | H | 1.5 | +340 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1135 | MLB | Josh Lowe 10 games | LAA vs Athletics@ | HR | 0.5 | +800 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1136 | MLB | Josh Lowe 10 games | LAA vs Athletics@ | R | 0.5 | +190 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 1137 | MLB | Josh Naylor 10 games | SEA vs SEA@CLE | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1138 | MLB | Josh Naylor 10 games | SEA vs SEA@CLE | RBI | 0.5 | +173 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1139 | MLB | Juan Soto 10 games | NYM vs PHI@NYM | HR | 0.5 | +275 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1140 | MLB | Julio Rodriguez 10 games | SEA vs SEA@CLE | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 1141 | MLB | Julio Rodriguez 10 games | SEA vs SEA@CLE | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 1142 | MLB | Jung Hoo Lee 10 games | SF vs ATL@SFG | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1143 | MLB | Jung Hoo Lee 10 games | SF vs ATL@SFG | R | 1.5 | +1000 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1144 | MLB | Jung Hoo Lee 10 games | SF vs ATL@SFG | RBI | 0.5 | +204 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1145 | MLB | Kazuma Okamoto 10 games | TOR vs TEX@TOR | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1146 | MLB | Kazuma Okamoto 10 games | TOR vs TEX@TOR | R | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1147 | MLB | Kazuma Okamoto 10 games | TOR vs TEX@TOR | RBI | 1.5 | +450 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1148 | MLB | Keibert Ruiz 10 games | WSH vs WSN@BAL | H | 1.5 | +300 | 1.4 | -0.1 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 1149 | MLB | Keibert Ruiz 10 games | WSH vs WSN@BAL | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 1150 | MLB | Keibert Ruiz 10 games | WSH vs WSN@BAL | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | 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.