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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1051 | MLB | Ernie Clement 10 games | TOR vs TOR@WSN | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1052 | MLB | Evan Carter 10 games | TEX vs SEA@TEX | H | 1.5 | +450 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 2.0 | WIN | LOSS | |
| 1053 | MLB | Evan Carter 10 games | TEX vs SEA@TEX | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1054 | MLB | Evan Carter 10 games | TEX vs SEA@TEX | RBI | 1.5 | +1000 | 0.6 | -0.9 | 0/5 | +0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1055 | MLB | Ezequiel Duran 10 games | TEX vs SEA@TEX | R | 1.5 | +1300 | 0.8 | -0.7 | 0/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 1056 | MLB | Francisco Lindor 10 games | NYM vs ATL@NYM | H | 1.5 | +230 | 1 | -0.5 | 1/5 | -0.8 | 29 | F | 3.0 | WIN | LOSS | |
| 1057 | MLB | Francisco Lindor 10 games | NYM vs ATL@NYM | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 1058 | MLB | Gabriel Moreno 10 games | AZ vs ARI@PIT | R | 1.5 | +800 | 0.8 | -0.7 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1059 | MLB | Gabriel Rincones Jr. 10 games | PHI vs PHI@MIA | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1060 | MLB | Garrett Mitchell 10 games | MIL vs MIL@SFG | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1061 | MLB | Garrett Mitchell 10 games | MIL vs MIL@SFG | R | 1.5 | +900 | 0.6 | -0.9 | 0/5 | +0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1062 | MLB | Garrett Mitchell 10 games | MIL vs MIL@SFG | TB | 1.5 | +150 | 0.6 | -0.9 | 1/5 | -1.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1063 | MLB | Geraldo Perdomo 10 games | AZ vs ARI@PIT | R | 1.5 | +600 | 0.4 | -1.1 | 1/5 | +0.3 | 29 | F | 1.0 | LOSS | WIN | |
| 1064 | MLB | Gleyber Torres 10 games | DET vs BAL@DET | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1065 | MLB | Gleyber Torres 10 games | DET vs BAL@DET | RBI | 0.5 | +213 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1066 | MLB | Griffin Conine 10 games | MIA vs PHI@MIA | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 1067 | MLB | Griffin Conine 10 games | MIA vs PHI@MIA | RBI | 0.5 | +305 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 2.0 | WIN | LOSS | |
| 1068 | MLB | Griffin Conine 10 games | MIA vs PHI@MIA | TB | 1.5 | +230 | 0.6 | -0.9 | 1/5 | -1.4 | 29 | F | 5.0 | WIN | LOSS | |
| 1069 | MLB | Gunnar Henderson 10 games | BAL vs BAL@DET | H | 1.5 | +220 | 1 | -0.5 | 1/5 | -0.7 | 29 | F | 1.0 | LOSS | WIN | |
| 1070 | MLB | Heliot Ramos 10 games | SF vs MIL@SFG | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1071 | MLB | Henry Bolte 10 games | ATH vs BOS@Athlet | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1072 | MLB | Henry Bolte 10 games | ATH vs BOS@Athlet | RBI | 0.5 | +260 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1073 | MLB | Henry Davis 10 games | PIT vs ARI@PIT | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1074 | MLB | Ian Happ 10 games | CHC vs CHC@STL | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1075 | MLB | Isaac Paredes 10 games | HOU vs HOU@LAA | R | 1.5 | +900 | 0.6 | -0.9 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1076 | MLB | J.P. Crawford 10 games | SEA vs SEA@TEX | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1077 | MLB | J.P. Crawford 10 games | SEA vs SEA@TEX | R | 0.5 | +160 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1078 | MLB | J.T. Realmuto 10 games | PHI vs PHI@MIA | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1079 | MLB | J.T. Realmuto 10 games | PHI vs PHI@MIA | R | 0.5 | +150 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 1080 | MLB | Jackson Chourio 10 games | MIL vs MIL@SFG | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1081 | MLB | Jackson Chourio 10 games | MIL vs MIL@SFG | R | 1.5 | +550 | 0.4 | -1.1 | 1/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1082 | MLB | Jackson Holliday 10 games | BAL vs BAL@DET | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1083 | MLB | Jacob Gonzalez 10 games | PIT vs ARI@PIT | HR | 0.5 | +650 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1084 | MLB | Jacob Wilson 10 games | ATH vs BOS@Athlet | RBI | 0.5 | +190 | 0.4 | -0.1 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1085 | MLB | Jake Bauers 10 games | MIL vs MIL@SFG | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1086 | MLB | Jake Burger 10 games | TEX vs SEA@TEX | R | 1.5 | +1000 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 1.0 | LOSS | WIN | |
| 1087 | MLB | Jake Mangum 10 games | PIT vs ARI@PIT | HR | 0.5 | +1400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1088 | MLB | Jake Mangum 10 games | PIT vs ARI@PIT | R | 0.5 | +115 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 1.0 | WIN | LOSS | |
| 1089 | MLB | Jake Mangum 10 games | PIT vs ARI@PIT | RBI | 0.5 | +275 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1090 | MLB | Jakob Marsee 10 games | MIA vs PHI@MIA | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1091 | MLB | Jakob Marsee 10 games | MIA vs PHI@MIA | RBI | 0.5 | +315 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1092 | MLB | James Jarvis 10 games | vs ATL@NYM | HR | 0.5 | +1200 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1093 | MLB | James Jarvis 10 games | vs ATL@NYM | TB | 1.5 | +230 | 0.6 | -0.9 | 1/5 | -1.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1094 | MLB | James Outman 10 games | DET vs BAL@DET | H | 1.5 | +550 | 0.6 | -0.9 | 0/5 | +0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 1095 | MLB | Jarren Duran 10 games | BOS vs BOS@Athlet | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1096 | MLB | Javier Sanoja 10 games | MIA vs PHI@MIA | H | 1.5 | +340 | 0.8 | -0.7 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 1097 | MLB | Javier Sanoja 10 games | MIA vs PHI@MIA | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1098 | MLB | Jimmy Crooks 10 games | STL vs CHC@STL | RBI | 0.5 | +257 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1099 | MLB | JJ Bleday 10 games | CIN vs CLE@CIN | H | 1.5 | +280 | 0.6 | -0.9 | 0/5 | +-0 | 29 | F | — | PENDING | PENDING | |
| 1100 | MLB | JJ Wetherholt 10 games | STL vs CHC@STL | H | 1.5 | +190 | 0.6 | -0.9 | 1/5 | -0.8 | 29 | F | 1.0 | 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.