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 | Brent Rooker 10 games | ATH vs Athletics@ | R | 0.5 | -102 | 0.8 | +0.3 | 4/5 | +0.3 | 54 | F | 0.0 | LOSS | WIN | |
| 102 | MLB | Charles McAdoo 2 games | TOR vs TOR@ATL | TB | 1.5 | +240 | 2.5 | +1 | 1/2 | +0 | 54 | F | 1.0 | LOSS | WIN | |
| 103 | MLB | Jake Mangum 10 games | PIT vs PIT@HOU | TB | 1.5 | +165 | 2.4 | +0.9 | 2/5 | +2.1 | 54 | F | 2.0 | WIN | LOSS | |
| 104 | MLB | Jorge Mateo 10 games | ATL vs TOR@ATL | H | 0.5 | -139 | 1 | +0.5 | 4/5 | -0.3 | 54 | F | 0.0 | LOSS | WIN | |
| 105 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@ATL | H | 0.5 | -140 | 1 | +0.5 | 4/5 | +0.1 | 54 | F | 2.0 | WIN | LOSS | |
| 106 | MLB | Oneil Cruz 10 games | PIT vs PIT@HOU | H | 0.5 | -140 | 1.2 | +0.7 | 4/5 | +0.1 | 54 | F | 2.0 | WIN | LOSS | |
| 107 | MLB | Nick Loftin 10 games | KC vs KCR@MIN | H | 0.5 | -135 | 0.8 | +0.3 | 4/5 | +0.5 | 53 | F | 1.0 | WIN | LOSS | |
| 108 | MLB | Brooks Lee 10 games | MIN vs KCR@MIN | RBI | 0.5 | +204 | 1 | +0.5 | 3/5 | -0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 109 | MLB | Christian Walker 10 games | HOU vs PIT@HOU | RBI | 0.5 | +160 | 1 | +0.5 | 3/5 | -0.7 | 52 | F | 0.0 | LOSS | WIN | |
| 110 | MLB | Christian Yelich 10 games | MIL vs SFG@MIL | TB | 1.5 | +110 | 1.6 | +0.1 | 3/5 | +0.5 | 52 | F | 3.0 | WIN | LOSS | |
| 111 | MLB | Isaac Paredes 10 games | HOU vs PIT@HOU | TB | 1.5 | +170 | 1.8 | +0.3 | 3/5 | +0.8 | 52 | F | 4.0 | WIN | LOSS | |
| 112 | MLB | Jackson Chourio 10 games | MIL vs SFG@MIL | R | 0.5 | -115 | 1.2 | +0.7 | 3/5 | +0.4 | 52 | F | 4.0 | WIN | LOSS | |
| 113 | MLB | Jackson Holliday 10 games | BAL vs BAL@BOS | H | 0.5 | -180 | 1 | +0.5 | 4/5 | -0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 114 | MLB | Jake Meyers 10 games | HOU vs PIT@HOU | H | 0.5 | -155 | 1.2 | +0.7 | 4/5 | -0.1 | 52 | F | 0.0 | LOSS | WIN | |
| 115 | MLB | Jazz Chisholm Jr. 10 games | NYY vs CLE@NYY | H | 0.5 | -175 | 1 | +0.5 | 4/5 | -0.2 | 52 | F | 0.0 | LOSS | WIN | |
| 116 | MLB | Jung Hoo Lee 10 games | SF vs SFG@MIL | H | 1.5 | +240 | 2.2 | +0.7 | 3/5 | -0.6 | 52 | F | 4.0 | WIN | LOSS | |
| 117 | MLB | Luis Arraez 10 games | SF vs SFG@MIL | H | 0.5 | -268 | 1 | +0.5 | 4/5 | +0.2 | 52 | F | 2.0 | WIN | LOSS | |
| 118 | MLB | Luke Keaschall 10 games | MIN vs KCR@MIN | H | 0.5 | -190 | 1.4 | +0.9 | 4/5 | -0.3 | 52 | F | 0.0 | LOSS | WIN | |
| 119 | MLB | Michael Busch 10 games | CHC vs Athletics@ | RBI | 0.5 | +139 | 1 | +0.5 | 3/5 | -0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 120 | MLB | Ryan McMahon 10 games | NYY vs CLE@NYY | TB | 1.5 | +170 | 2.2 | +0.7 | 3/5 | -1.2 | 52 | F | 1.0 | LOSS | WIN | |
| 121 | MLB | Samuel Basallo 10 games | BAL vs BAL@BOS | H | 0.5 | -225 | 1.2 | +0.7 | 4/5 | +0.2 | 52 | F | 1.0 | WIN | LOSS | |
| 122 | MLB | Tristan Gray 10 games | MIN vs KCR@MIN | R | 0.5 | +180 | 0.8 | +0.3 | 3/5 | +0.6 | 52 | F | 0.0 | LOSS | WIN | |
| 123 | MLB | Tristan Gray 10 games | MIN vs KCR@MIN | TB | 1.5 | +180 | 1.8 | +0.3 | 3/5 | +1 | 52 | F | 0.0 | LOSS | WIN | |
| 124 | MLB | Ty France 10 games | SD vs SDP@PHI | H | 0.5 | -160 | 1.2 | +0.7 | 4/5 | +0 | 52 | F | 0.0 | LOSS | WIN | |
| 125 | MLB | Vinnie Pasquantino 10 games | KC vs KCR@MIN | RBI | 0.5 | +150 | 0.8 | +0.3 | 3/5 | +0.5 | 52 | F | 0.0 | LOSS | WIN | |
| 126 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@ATL | TB | 1.5 | +135 | 2 | +0.5 | 3/5 | -0.8 | 52 | F | 4.0 | WIN | LOSS | |
| 127 | MLB | Wilyer Abreu 10 games | BOS vs BAL@BOS | TB | 1.5 | +100 | 1.8 | +0.3 | 3/5 | +0.7 | 52 | F | 1.0 | LOSS | WIN | |
| 128 | MLB | Yordan Alvarez 10 games | HOU vs PIT@HOU | R | 0.5 | -115 | 0.8 | +0.3 | 4/5 | -0.4 | 52 | F | 0.0 | LOSS | WIN | |
| 129 | MLB | Alex Freeland 10 games | LAD vs LAD@ARI | H | 0.5 | -140 | 1.2 | +0.7 | 3/5 | +0.6 | 51 | F | 0.0 | LOSS | WIN | |
| 130 | MLB | Daniel Susac 10 games | SF vs SFG@MIL | H | 0.5 | -150 | 1.2 | +0.7 | 3/5 | +1 | 51 | F | — | PENDING | PENDING | |
| 131 | MLB | Ozzie Albies 10 games | ATL vs TOR@ATL | RBI | 0.5 | +165 | 1 | +0.5 | 2/5 | +1 | 51 | F | 0.0 | LOSS | WIN | |
| 132 | MLB | Cam Smith 10 games | HOU vs PIT@HOU | H | 0.5 | -135 | 1 | +0.5 | 3/5 | -0.3 | 50 | F | 0.0 | LOSS | WIN | |
| 133 | MLB | Ryan McMahon 10 games | NYY vs CLE@NYY | H | 0.5 | -135 | 1 | +0.5 | 3/5 | -0.2 | 50 | F | 1.0 | WIN | LOSS | |
| 134 | MLB | Taylor Ward 10 games | BAL vs BAL@BOS | R | 0.5 | -125 | 0.8 | +0.3 | 4/5 | +0.2 | 50 | F | 1.0 | WIN | LOSS | |
| 135 | MLB | Austin Hedges 10 games | CLE vs CLE@NYY | H | 0.5 | +110 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 136 | MLB | Brandon Marsh 10 games | PHI vs SDP@PHI | H | 0.5 | -190 | 1.4 | +0.9 | 3/5 | +0.8 | 49 | F | 1.0 | WIN | LOSS | |
| 137 | MLB | Brandon Marsh 10 games | PHI vs SDP@PHI | TB | 1.5 | +140 | 1.6 | +0.1 | 3/5 | +0.2 | 49 | F | 1.0 | LOSS | WIN | |
| 138 | MLB | Brice Turang 10 games | MIL vs SFG@MIL | H | 0.5 | -235 | 1 | +0.5 | 3/5 | +1.1 | 49 | F | 2.0 | WIN | LOSS | |
| 139 | MLB | Coby Mayo 10 games | BAL vs BAL@BOS | R | 0.5 | +135 | 0.6 | +0.1 | 3/5 | +-0 | 49 | F | 1.0 | WIN | LOSS | |
| 140 | MLB | Cody Bellinger 10 games | NYY vs CLE@NYY | R | 0.5 | +110 | 0.6 | +0.1 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 141 | MLB | Cody Bellinger 10 games | NYY vs CLE@NYY | RBI | 0.5 | +146 | 0.8 | +0.3 | 3/5 | +0.2 | 49 | F | 0.0 | LOSS | WIN | |
| 142 | MLB | Corbin Carroll 10 games | AZ vs LAD@ARI | TB | 1.5 | +115 | 1.8 | +0.3 | 3/5 | +0.2 | 49 | F | 7.0 | WIN | LOSS | |
| 143 | MLB | Dominic Smith 10 games | ATL vs TOR@ATL | R | 0.5 | +149 | 0.8 | +0.3 | 3/5 | +-0 | 49 | F | 0.0 | LOSS | WIN | |
| 144 | MLB | Ernie Clement 10 games | TOR vs TOR@ATL | TB | 1.5 | +140 | 1.8 | +0.3 | 3/5 | -0.1 | 49 | F | 3.0 | WIN | LOSS | |
| 145 | MLB | Fernando Tatis Jr. 10 games | SD vs SDP@PHI | H | 1.5 | +240 | 1.8 | +0.3 | 3/5 | -0.4 | 49 | F | 0.0 | LOSS | WIN | |
| 146 | MLB | Gunnar Henderson 10 games | BAL vs BAL@BOS | TB | 1.5 | -119 | 1.6 | +0.1 | 3/5 | +0.7 | 49 | F | 0.0 | LOSS | WIN | |
| 147 | MLB | Isiah Kiner-Falefa 10 games | BOS vs BAL@BOS | H | 0.5 | -235 | 1.2 | +0.7 | 4/5 | -0.5 | 49 | F | 0.0 | LOSS | WIN | |
| 148 | MLB | Jackson Merrill 10 games | SD vs SDP@PHI | H | 0.5 | -172 | 1 | +0.5 | 3/5 | +0.5 | 49 | F | 1.0 | WIN | LOSS | |
| 149 | MLB | Jake Meyers 10 games | HOU vs PIT@HOU | TB | 1.5 | +165 | 1.6 | +0.1 | 3/5 | -0.3 | 49 | F | 0.0 | LOSS | WIN | |
| 150 | MLB | Jared Triolo 10 games | PIT vs PIT@HOU | RBI | 0.5 | +286 | 0.6 | +0.1 | 3/5 | +0.4 | 49 | 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.