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 | Matt Olson 10 games | ATL vs NYM@ATL | R | 0.5 | +100 | 1 | +0.5 | 3/5 | -0.3 | 55 | D | 1.0 | WIN | LOSS | |
| 102 | MLB | Nathan Lukes 10 games | TOR vs BOS@TOR | H | 0.5 | -208 | 1.4 | +0.9 | 4/5 | +1.3 | 55 | D | 0.0 | LOSS | WIN | |
| 103 | MLB | Nolan Schanuel 10 games | LAA vs TEX@LAA | R | 0.5 | +158 | 0.8 | +0.3 | 4/5 | +0.1 | 55 | D | 0.0 | LOSS | WIN | |
| 104 | MLB | Tyler Soderstrom 10 games | ATH vs TBR@Athlet | R | 0.5 | +105 | 0.8 | +0.3 | 4/5 | +0.4 | 55 | D | 1.0 | WIN | LOSS | |
| 105 | MLB | Jake Bauers 10 games | MIL vs MIL@SDP | H | 0.5 | -140 | 1 | +0.5 | 4/5 | -0.3 | 54 | F | 1.0 | WIN | LOSS | |
| 106 | MLB | Jared Young 10 games | NYM vs NYM@ATL | H | 0.5 | -140 | 1.4 | +0.9 | 4/5 | +0.3 | 54 | F | 2.0 | WIN | LOSS | |
| 107 | MLB | Nathan Lukes 10 games | TOR vs BOS@TOR | TB | 1.5 | +152 | 2 | +0.5 | 2/5 | +2 | 54 | F | 0.0 | LOSS | WIN | |
| 108 | MLB | Pete Alonso 10 games | BAL vs BAL@MIN | TB | 1.5 | +120 | 2.4 | +0.9 | 2/5 | +1.7 | 54 | F | 1.0 | LOSS | WIN | |
| 109 | MLB | Tyler Tolbert 10 games | KC vs KCR@LAD | H | 0.5 | -103 | 1 | +0.5 | 3/5 | -0.4 | 54 | F | — | PENDING | PENDING | |
| 110 | MLB | Wyatt Langford 10 games | TEX vs TEX@LAA | R | 0.5 | -110 | 0.8 | +0.3 | 4/5 | +0.2 | 54 | F | 1.0 | WIN | LOSS | |
| 111 | MLB | Andrew Vaughn 10 games | MIL vs MIL@SDP | H | 0.5 | -155 | 1 | +0.5 | 4/5 | +0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 112 | MLB | Andruw Monasterio 10 games | BOS vs BOS@TOR | H | 0.5 | -169 | 1.2 | +0.7 | 4/5 | -0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 113 | MLB | Andy Pages 10 games | LAD vs KCR@LAD | H | 0.5 | -235 | 1.2 | +0.7 | 4/5 | +0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 114 | MLB | Brice Turang 10 games | MIL vs MIL@SDP | R | 0.5 | +125 | 0.6 | +0.1 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 115 | MLB | Bryson Stott 10 games | PHI vs PHI@STL | H | 0.5 | -196 | 1.4 | +0.9 | 4/5 | +0.2 | 52 | F | 2.0 | WIN | LOSS | |
| 116 | MLB | Caleb Durbin 10 games | BOS vs BOS@TOR | H | 0.5 | -200 | 1.2 | +0.7 | 4/5 | -0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 117 | MLB | Carson Benge 10 games | NYM vs NYM@ATL | H | 1.5 | +260 | 1.8 | +0.3 | 3/5 | +0.8 | 52 | F | 0.0 | LOSS | WIN | |
| 118 | MLB | Christian Walker 10 games | HOU vs HOU@SFG | H | 0.5 | -189 | 1 | +0.5 | 4/5 | -0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 119 | MLB | Colton Cowser 10 games | BAL vs BAL@MIN | H | 0.5 | +100 | 0.8 | +0.3 | 3/5 | +0.7 | 52 | F | 1.0 | WIN | LOSS | |
| 120 | MLB | Drake Baldwin 10 games | ATL vs NYM@ATL | H | 0.5 | -250 | 1.2 | +0.7 | 4/5 | +0.3 | 52 | F | 2.0 | WIN | LOSS | |
| 121 | MLB | Ernie Clement 10 games | TOR vs BOS@TOR | H | 0.5 | -190 | 1.2 | +0.7 | 4/5 | +0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 122 | MLB | Francisco Lindor 10 games | NYM vs NYM@ATL | H | 0.5 | -200 | 1 | +0.5 | 4/5 | -0.1 | 52 | F | 3.0 | WIN | LOSS | |
| 123 | MLB | Freddy Peralta 9 games | TB vs TBR@Athlet | K | 3.5 | -325 | 4.8 | +1.3 | 3/5 | -0.1 | 52 | F | 5.0 | WIN | LOSS | |
| 124 | MLB | Gabriel Moreno 10 games | AZ vs COL@ARI | H | 0.5 | -300 | 1.4 | +0.9 | 4/5 | +0.3 | 52 | F | 2.0 | WIN | LOSS | |
| 125 | MLB | Geraldo Perdomo 10 games | AZ vs COL@ARI | H | 0.5 | -249 | 1 | +0.5 | 4/5 | -0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 126 | MLB | Ivan Herrera 10 games | STL vs PHI@STL | R | 0.5 | +130 | 0.8 | +0.3 | 3/5 | +0.7 | 52 | F | 2.0 | WIN | LOSS | |
| 127 | MLB | Jackson Merrill 10 games | SD vs MIL@SDP | H | 0.5 | -160 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 1.0 | WIN | LOSS | |
| 128 | MLB | Jimmy Crooks 10 games | STL vs PHI@STL | H | 0.5 | -160 | 1 | +0.5 | 4/5 | +0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 129 | MLB | Jonah Heim 10 games | ATH vs TBR@Athlet | RBI | 0.5 | +177 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 130 | MLB | Jose Altuve 10 games | HOU vs HOU@SFG | TB | 1.5 | +145 | 2.2 | +0.7 | 3/5 | -0.7 | 52 | F | 0.0 | LOSS | WIN | |
| 131 | MLB | Luke Keaschall 10 games | MIN vs BAL@MIN | H | 0.5 | -190 | 1 | +0.5 | 4/5 | -0.1 | 52 | F | 1.0 | WIN | LOSS | |
| 132 | MLB | Michael Harris II 10 games | ATL vs NYM@ATL | H | 0.5 | -250 | 1.4 | +0.9 | 4/5 | -0.3 | 52 | F | 2.0 | WIN | LOSS | |
| 133 | MLB | Michael Massey 10 games | KC vs KCR@LAD | H | 0.5 | -120 | 1 | +0.5 | 3/5 | +0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 134 | MLB | Nathan Church 10 games | STL vs PHI@STL | H | 0.5 | -178 | 1.2 | +0.7 | 4/5 | -0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 135 | MLB | Nolan Schanuel 10 games | LAA vs TEX@LAA | RBI | 0.5 | +234 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 136 | MLB | Royce Lewis 10 games | MIN vs BAL@MIN | H | 0.5 | -200 | 1.2 | +0.7 | 4/5 | -0.2 | 52 | F | 2.0 | WIN | LOSS | |
| 137 | MLB | Royce Lewis 10 games | MIN vs BAL@MIN | TB | 1.5 | +135 | 2.2 | +0.7 | 3/5 | -0.8 | 52 | F | 2.0 | WIN | LOSS | |
| 138 | MLB | Willi Castro 10 games | COL vs COL@ARI | H | 0.5 | -158 | 1.2 | +0.7 | 4/5 | -0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 139 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | H | 0.5 | -220 | 1.4 | +0.9 | 4/5 | -0.1 | 52 | F | 0.0 | LOSS | WIN | |
| 140 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | RBI | 1.5 | +380 | 1.8 | +0.3 | 3/5 | +0.9 | 52 | F | 0.0 | LOSS | WIN | |
| 141 | MLB | Wilyer Abreu 10 games | BOS vs BOS@TOR | TB | 2.5 | +170 | 3.4 | +0.9 | 3/5 | -1.4 | 52 | F | 0.0 | LOSS | WIN | |
| 142 | MLB | Bo Bichette 10 games | NYM vs NYM@ATL | TB | 1.5 | +130 | 2.4 | +0.9 | 2/5 | +0.6 | 51 | F | 1.0 | LOSS | WIN | |
| 143 | MLB | Geraldo Perdomo 10 games | AZ vs COL@ARI | TB | 1.5 | +125 | 2 | +0.5 | 2/5 | +0.6 | 51 | F | 0.0 | LOSS | WIN | |
| 144 | MLB | Ivan Herrera 10 games | STL vs PHI@STL | H | 1.5 | +220 | 2 | +0.5 | 2/5 | +1.5 | 51 | F | 2.0 | WIN | LOSS | |
| 145 | MLB | Kyle Schwarber 10 games | PHI vs PHI@STL | RBI | 0.5 | +140 | 1 | +0.5 | 2/5 | +0.7 | 51 | F | 1.0 | WIN | LOSS | |
| 146 | MLB | Luis Torrens 9 games | NYM vs NYM@ATL | RBI | 0.5 | +250 | 1.4 | +0.9 | 2/5 | +1.4 | 51 | F | — | PENDING | PENDING | |
| 147 | MLB | Logan Henderson 5 games | MIL vs MIL@SDP | K | 6.5 | +225 | 6.4 | -0.1 | 3/5 | +1.6 | 50 | F | 7.0 | WIN | LOSS | |
| 148 | MLB | Alejandro Kirk 10 games | TOR vs BOS@TOR | RBI | 0.5 | +200 | 0.8 | +0.3 | 3/5 | +0.3 | 49 | F | — | PENDING | PENDING | |
| 149 | MLB | Austin Riley 10 games | ATL vs NYM@ATL | RBI | 0.5 | +220 | 0.6 | +0.1 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 150 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@LAD | R | 0.5 | +150 | 0.8 | +0.3 | 3/5 | +-0 | 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.