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 | Ezequiel Tovar 10 games | COL vs WSN@COL | RBI | 0.5 | +174 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1102 | MLB | Freddie Freeman 10 games | LAD vs LAD@PHI | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1103 | MLB | Freddie Freeman 10 games | LAD vs LAD@PHI | R | 0.5 | +110 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1104 | MLB | Freddie Freeman 10 games | LAD vs LAD@PHI | RBI | 0.5 | +201 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1105 | MLB | Freddy Fermin 10 games | SD vs SDP@ATL | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1106 | MLB | Freddy Fermin 10 games | SD vs SDP@ATL | R | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1107 | MLB | Freddy Fermin 10 games | SD vs SDP@ATL | RBI | 0.5 | +230 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1108 | MLB | Gabriel Moreno 10 games | AZ vs Athletics@ | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1109 | MLB | Garrett Mitchell 10 games | MIL vs NYM@MIL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1110 | MLB | Gavin Sheets 10 games | SD vs SDP@ATL | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1111 | MLB | Gavin Sheets 10 games | SD vs SDP@ATL | RBI | 0.5 | +204 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1112 | MLB | Gleyber Torres 10 games | DET vs DET@CHC | RBI | 0.5 | +228 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1113 | MLB | Gunnar Henderson 10 games | BAL vs BAL@BOS | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1114 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1115 | MLB | Henry Bolte 10 games | ATH vs Athletics@ | R | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1116 | MLB | Isaac Collins 10 games | KC vs SFG@KCR | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1117 | MLB | Isaac Collins 10 games | KC vs SFG@KCR | R | 0.5 | +165 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 1118 | MLB | Isaac Paredes 10 games | HOU vs MIA@HOU | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1119 | MLB | Ivan Herrera 10 games | STL vs STL@LAA | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1120 | MLB | J.T. Realmuto 10 games | PHI vs LAD@PHI | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1121 | MLB | Jackson Chourio 10 games | MIL vs NYM@MIL | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1122 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@NYY | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1123 | MLB | Jake Bauers 10 games | MIL vs NYM@MIL | RBI | 0.5 | +180 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1124 | MLB | Jake Cronenworth 10 games | SD vs SDP@ATL | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1125 | MLB | Jake Mangum 10 games | PIT vs PIT@NYY | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1126 | MLB | Jakob Marsee 10 games | MIA vs MIA@HOU | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1127 | MLB | Jakob Marsee 10 games | MIA vs MIA@HOU | RBI | 0.5 | +247 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1128 | MLB | James Jarvis 10 games | vs SDP@ATL | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1129 | MLB | James Wood 10 games | WSH vs WSN@COL | HR | 0.5 | +220 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1130 | MLB | James Wood 10 games | WSH vs WSN@COL | RBI | 0.5 | +103 | 0.4 | -0.1 | 1/5 | -0.6 | 29 | F | 2.0 | WIN | LOSS | |
| 1131 | MLB | Jared Triolo 10 games | PIT vs PIT@NYY | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1132 | MLB | Jared Young 10 games | NYM vs NYM@MIL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1133 | MLB | Jared Young 10 games | NYM vs NYM@MIL | RBI | 0.5 | +247 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 1.0 | WIN | LOSS | |
| 1134 | MLB | Jared Young 10 games | NYM vs NYM@MIL | TB | 1.5 | +185 | 1 | -0.5 | 1/5 | -1 | 29 | F | 5.0 | WIN | LOSS | |
| 1135 | MLB | Jarren Duran 10 games | BOS vs BAL@BOS | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1136 | MLB | Jasson Domínguez 10 games | NYY vs PIT@NYY | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1137 | MLB | Jasson Domínguez 10 games | NYY vs PIT@NYY | RBI | 0.5 | +197 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1138 | MLB | Javier Sanoja 10 games | MIA vs MIA@HOU | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1139 | MLB | Javier Sanoja 10 games | MIA vs MIA@HOU | RBI | 0.5 | +248 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1140 | MLB | Jeremiah Jackson 10 games | BAL vs BAL@BOS | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1141 | MLB | JJ Bleday 10 games | CIN vs CIN@SEA | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1142 | MLB | JJ Bleday 10 games | CIN vs CIN@SEA | RBI | 0.5 | +172 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1143 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1144 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | R | 0.5 | +145 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1145 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | TB | 1.5 | +130 | 0.8 | -0.7 | 0/5 | -0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 1146 | MLB | Jonathan Aranda 10 games | TB vs TBR@TOR | TB | 1.5 | +120 | 1.2 | -0.3 | 1/5 | -1.3 | 29 | F | 2.0 | WIN | LOSS | |
| 1147 | MLB | Jordan Walker 10 games | STL vs STL@LAA | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1148 | MLB | Jorge Polanco 7 games | NYM vs NYM@MIL | R | 0.5 | +130 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1149 | MLB | Jorge Soler 10 games | LAA vs STL@LAA | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1150 | MLB | Jorge Soler 10 games | LAA vs STL@LAA | R | 0.5 | +115 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS |
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.