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 | Jackson Chourio 10 games | MIL vs MIA@MIL | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1102 | MLB | Jackson Holliday 10 games | BAL vs BAL@HOU | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1103 | MLB | Jackson Holliday 10 games | BAL vs BAL@HOU | R | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 1104 | MLB | Jackson Merrill 10 games | SD vs SDP@KCR | H | 1.5 | +186 | 0.6 | -0.9 | 1/5 | -0.9 | 29 | F | 4.0 | WIN | LOSS | |
| 1105 | MLB | Jackson Merrill 10 games | SD vs SDP@KCR | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 2.0 | WIN | LOSS | |
| 1106 | MLB | Jackson Merrill 10 games | SD vs SDP@KCR | TB | 1.5 | +105 | 0.6 | -0.9 | 1/5 | -0.9 | 29 | F | 10.0 | WIN | LOSS | |
| 1107 | MLB | Jacob Young 10 games | WSH vs WSN@Athlet | HR | 0.5 | +700 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1108 | MLB | Jake Bauers 10 games | MIL vs MIA@MIL | TB | 1.5 | +175 | 1.2 | -0.3 | 1/5 | -0.8 | 29 | F | 0.0 | LOSS | WIN | |
| 1109 | MLB | Jake Burger 10 games | TEX vs TEX@ATL | TB | 1.5 | +134 | 1 | -0.5 | 1/5 | -0.8 | 29 | F | 2.0 | WIN | LOSS | |
| 1110 | MLB | James Jarvis 10 games | vs TEX@ATL | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1111 | MLB | James Outman 10 games | DET vs DET@LAA | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1112 | MLB | James Wood 10 games | WSH vs WSN@Athlet | H | 1.5 | +190 | 1 | -0.5 | 1/5 | -0.8 | 29 | F | 0.0 | LOSS | WIN | |
| 1113 | MLB | Jared Triolo 10 games | PIT vs PIT@CLE | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1114 | MLB | Jared Young 10 games | NYM vs NYM@PHI | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1115 | MLB | Jase Bowen 10 games | SD vs SDP@KCR | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1116 | MLB | Jase Bowen 10 games | SD vs SDP@KCR | R | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 1117 | MLB | Javier Sanoja 10 games | MIA vs MIA@MIL | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1118 | MLB | Javier Sanoja 10 games | MIA vs MIA@MIL | RBI | 0.5 | +211 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1119 | MLB | JJ Bleday 10 games | CIN vs CIN@COL | H | 1.5 | +180 | 1 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | LOSS | WIN | |
| 1120 | MLB | Jo Adell 10 games | LAA vs DET@LAA | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1121 | MLB | Jo Adell 10 games | LAA vs DET@LAA | R | 0.5 | +140 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1122 | MLB | Jonah Heim 10 games | ATH vs WSN@Athlet | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1123 | MLB | Jonah Heim 10 games | ATH vs WSN@Athlet | R | 0.5 | +120 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1124 | MLB | Jonah Heim 10 games | ATH vs WSN@Athlet | RBI | 0.5 | +159 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1125 | MLB | Jordan Walker 10 games | STL vs STL@ARI | H | 1.5 | +175 | 0.8 | -0.7 | 0/5 | -0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 1126 | MLB | Jordan Walker 10 games | STL vs STL@ARI | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1127 | MLB | Jorge Polanco 6 games | NYM vs NYM@PHI | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1128 | MLB | Jorge Polanco 6 games | NYM vs NYM@PHI | R | 0.5 | +130 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1129 | MLB | Jorge Polanco 6 games | NYM vs NYM@PHI | RBI | 0.5 | +194 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1130 | MLB | Jorge Soler 10 games | LAA vs DET@LAA | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1131 | MLB | Jose Caballero 10 games | NYY vs LAD@NYY | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1132 | MLB | Jose Caballero 10 games | NYY vs LAD@NYY | TB | 1.5 | +260 | 0.8 | -0.7 | 1/5 | -1.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1133 | MLB | Josh Bell 10 games | MIN vs MIN@CHC | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1134 | MLB | Josh Bell 10 games | MIN vs MIN@CHC | RBI | 0.5 | +200 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1135 | MLB | Josh Jung 10 games | TEX vs TEX@ATL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1136 | MLB | Josh Jung 10 games | TEX vs TEX@ATL | RBI | 0.5 | +187 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 1137 | MLB | Josh Kuroda-Grauer 10 games | vs WSN@Athlet | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1138 | MLB | Josh Naylor 10 games | SEA vs SFG@SEA | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1139 | MLB | Josh Naylor 10 games | SEA vs SFG@SEA | RBI | 0.5 | +228 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1140 | MLB | Juan Soto 10 games | NYM vs NYM@PHI | HR | 0.5 | +260 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1141 | MLB | Jung Hoo Lee 10 games | SF vs SFG@SEA | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1142 | MLB | Jung Hoo Lee 10 games | SF vs SFG@SEA | RBI | 0.5 | +320 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1143 | MLB | Justin Crawford 10 games | PHI vs NYM@PHI | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1144 | MLB | Kahlil Watson 10 games | CLE vs PIT@CLE | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1145 | MLB | Kazuma Okamoto 10 games | TOR vs CHW@TOR | RBI | 1.5 | +475 | 0.6 | -0.9 | 1/5 | -0.8 | 29 | F | 0.0 | LOSS | WIN | |
| 1146 | MLB | Ke'Bryan Hayes 3 games | CIN vs CIN@COL | RBI | 0.5 | +180 | 0 | -0.5 | 0/3 | +0 | 29 | F | — | PENDING | PENDING | |
| 1147 | MLB | Kerry Carpenter 10 games | DET vs DET@LAA | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1148 | MLB | Kerry Carpenter 10 games | DET vs DET@LAA | R | 0.5 | +115 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1149 | MLB | Kerry Carpenter 10 games | DET vs DET@LAA | RBI | 0.5 | +168 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1150 | MLB | Ketel Marte 10 games | AZ vs STL@ARI | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | +0 | 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.