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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 101 | MLB | Brett Baty 10 games | NYM vs BAL@NYM | H | 0.5 | -115 | 0.8 | +0.3 | 4/5 | +-0 | 52 | F | 1.0 | WIN | LOSS | |
| 102 | MLB | Bryce Eldridge 10 games | SF vs SFG@STL | H | 0.5 | -190 | 1.4 | +0.9 | 4/5 | -0.3 | 52 | F | 2.0 | WIN | LOSS | |
| 103 | MLB | Bryce Eldridge 10 games | SF vs SFG@STL | RBI | 0.5 | +230 | 1 | +0.5 | 3/5 | -0.6 | 52 | F | 3.0 | WIN | LOSS | |
| 104 | MLB | Carter Jensen 10 games | KC vs KCR@HOU | H | 0.5 | -155 | 1 | +0.5 | 4/5 | +0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 105 | MLB | Christian Yelich 10 games | MIL vs MIL@PIT | H | 0.5 | -190 | 1 | +0.5 | 4/5 | +0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 106 | MLB | Connor Norby 10 games | COL vs SDP@COL | H | 1.5 | +220 | 1.6 | +0.1 | 3/5 | +0.9 | 52 | F | — | PENDING | PENDING | |
| 107 | MLB | Denzer Guzman 10 games | LAA vs SEA@LAA | RBI | 0.5 | +279 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 108 | MLB | Dylan Crews 10 games | WSH vs PHI@WSN | H | 0.5 | -190 | 1 | +0.5 | 4/5 | -0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 109 | MLB | Elly De La Cruz 10 games | CIN vs LAD@CIN | H | 0.5 | -180 | 1.2 | +0.7 | 4/5 | +-0 | 52 | F | 2.0 | WIN | LOSS | |
| 110 | MLB | Gabriel Moreno 10 games | AZ vs MIA@ARI | H | 0.5 | -260 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 2.0 | WIN | LOSS | |
| 111 | MLB | Gunnar Henderson 10 games | BAL vs BAL@NYM | H | 0.5 | -165 | 1 | +0.5 | 4/5 | +0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 112 | MLB | Henry Bolte 10 games | OAK vs ATHLETICS@ | H | 0.5 | -178 | 1 | +0.5 | 4/5 | -0.3 | 52 | F | 1.0 | WIN | LOSS | |
| 113 | MLB | J.P. Crawford 10 games | SEA vs SEA@LAA | RBI | 0.5 | +238 | 0.8 | +0.3 | 3/5 | +0.7 | 52 | F | 0.0 | LOSS | WIN | |
| 114 | MLB | Jakob Marsee 10 games | MIA vs MIA@ARI | H | 0.5 | -163 | 1.6 | +1.1 | 3/5 | -0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 115 | MLB | James Wood 10 games | WSH vs PHI@WSN | H | 0.5 | -167 | 1 | +0.5 | 4/5 | +0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 116 | MLB | Javier Sanoja 10 games | MIA vs MIA@ARI | H | 0.5 | -190 | 1.4 | +0.9 | 4/5 | -0.4 | 52 | F | 1.0 | WIN | LOSS | |
| 117 | MLB | Jeff McNeil 10 games | OAK vs ATHLETICS@ | H | 0.5 | -200 | 1 | +0.5 | 4/5 | -0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 118 | MLB | Jose Altuve 10 games | HOU vs KCR@HOU | H | 0.5 | -200 | 1 | +0.5 | 4/5 | -0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 119 | MLB | Kazuma Okamoto 10 games | TOR vs DET@TOR | H | 0.5 | -165 | 1 | +0.5 | 4/5 | -0.3 | 52 | F | 1.0 | WIN | LOSS | |
| 120 | MLB | Ketel Marte 10 games | AZ vs MIA@ARI | H | 0.5 | -260 | 1 | +0.5 | 4/5 | -0.3 | 52 | F | 2.0 | WIN | LOSS | |
| 121 | MLB | Kody Clemens 10 games | MIN vs NYY@MIN | H | 0.5 | -160 | 1 | +0.5 | 4/5 | -0.3 | 52 | F | 1.0 | WIN | LOSS | |
| 122 | MLB | Kyle Karros 10 games | COL vs SDP@COL | H | 0.5 | -220 | 1 | +0.5 | 4/5 | +0.3 | 52 | F | 1.0 | WIN | LOSS | |
| 123 | MLB | Max Clark 10 games | DET vs DET@TOR | RBI | 0.5 | +256 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 2.0 | WIN | LOSS | |
| 124 | MLB | Miguel Vargas 10 games | CWS vs CHW@CLE | H | 0.5 | -200 | 1 | +0.5 | 4/5 | +0.4 | 52 | F | 1.0 | WIN | LOSS | |
| 125 | MLB | Nathan Church 10 games | STL vs SFG@STL | H | 0.5 | -162 | 1.4 | +0.9 | 4/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 126 | MLB | Nico Hoerner 10 games | CHC vs ATL@CHC | H | 0.5 | -240 | 1.2 | +0.7 | 4/5 | -0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 127 | MLB | Nolan Arenado 10 games | AZ vs MIA@ARI | H | 0.5 | -175 | 1.4 | +0.9 | 4/5 | -0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 128 | MLB | Randy Arozarena 10 games | SEA vs SEA@LAA | H | 1.5 | +230 | 1.6 | +0.1 | 3/5 | +1 | 52 | F | 1.0 | LOSS | WIN | |
| 129 | MLB | Sal Stewart 10 games | CIN vs LAD@CIN | H | 0.5 | -180 | 1.4 | +0.9 | 4/5 | -0.1 | 52 | F | 0.0 | LOSS | WIN | |
| 130 | MLB | Samad Taylor 10 games | SD vs SDP@COL | H | 0.5 | -200 | 1 | +0.5 | 4/5 | +0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 131 | MLB | Spencer Torkelson 10 games | DET vs DET@TOR | RBI | 0.5 | +221 | 0.6 | +0.1 | 3/5 | +0.5 | 52 | F | 3.0 | WIN | LOSS | |
| 132 | MLB | Teoscar Hernandez 10 games | LAD vs LAD@CIN | RBI | 0.5 | +162 | 1 | +0.5 | 3/5 | -0.7 | 52 | F | 2.0 | WIN | LOSS | |
| 133 | MLB | Travis Bazzana 10 games | CLE vs CHW@CLE | H | 0.5 | -173 | 1.2 | +0.7 | 4/5 | +0.2 | 52 | F | 2.0 | WIN | LOSS | |
| 134 | MLB | Ty France 10 games | SD vs SDP@COL | H | 1.5 | +138 | 1.6 | +0.1 | 3/5 | +1.2 | 52 | F | 0.0 | LOSS | WIN | |
| 135 | MLB | William Contreras 10 games | MIL vs MIL@PIT | H | 0.5 | -220 | 1.2 | +0.7 | 4/5 | +0.5 | 52 | F | 1.0 | WIN | LOSS | |
| 136 | MLB | William Contreras 10 games | MIL vs MIL@PIT | HR | 0.5 | +700 | 0.6 | +0.1 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 137 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TEX | RBI | 0.5 | +183 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 138 | MLB | CJ Abrams 10 games | WSH vs PHI@WSN | H | 0.5 | -142 | 1.2 | +0.7 | 3/5 | +1.2 | 51 | F | — | PENDING | PENDING | |
| 139 | MLB | Donovan Walton 10 games | OAK vs ATHLETICS@ | H | 0.5 | -140 | 1.2 | +0.7 | 3/5 | +0.5 | 51 | F | 0.0 | LOSS | WIN | |
| 140 | MLB | Eugenio Suarez 10 games | CIN vs LAD@CIN | RBI | 0.5 | +223 | 1 | +0.5 | 2/5 | +0.8 | 51 | F | 0.0 | LOSS | WIN | |
| 141 | MLB | Lawrence Butler 10 games | OAK vs ATHLETICS@ | RBI | 0.5 | +252 | 1.2 | +0.7 | 2/5 | +0.9 | 51 | F | 0.0 | LOSS | WIN | |
| 142 | MLB | Jake Mangum 10 games | PIT vs MIL@PIT | H | 0.5 | -130 | 1 | +0.5 | 3/5 | +0.2 | 50 | F | 0.0 | LOSS | WIN | |
| 143 | MLB | Joe Mack 10 games | MIA vs MIA@ARI | H | 0.5 | -130 | 1 | +0.5 | 3/5 | +-0 | 50 | F | — | PENDING | PENDING | |
| 144 | MLB | Andres Gimenez 10 games | TOR vs DET@TOR | RBI | 0.5 | +243 | 0.6 | +0.1 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 145 | MLB | Brandon Nimmo 10 games | TEX vs BOS@TEX | H | 0.5 | -160 | 1.2 | +0.7 | 3/5 | +0.6 | 49 | F | 1.0 | WIN | LOSS | |
| 146 | MLB | Brett Bateman 10 games | TOR vs DET@TOR | H | 0.5 | -225 | 1.2 | +0.7 | 4/5 | -0.5 | 49 | F | 2.0 | WIN | LOSS | |
| 147 | MLB | Brett Bateman 10 games | TOR vs DET@TOR | RBI | 0.5 | +290 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 148 | MLB | Brett Callahan 10 games | DET vs DET@TOR | H | 0.5 | +105 | 0.6 | +0.1 | 3/5 | +0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 149 | MLB | Carson Benge 10 games | NYM vs BAL@NYM | H | 0.5 | -185 | 1 | +0.5 | 3/5 | +0.5 | 49 | F | 1.0 | WIN | LOSS | |
| 150 | MLB | Chase Meidroth 10 games | CWS vs CHW@CLE | RBI | 0.5 | +243 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | 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.