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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1001 | MLB | Austin Riley 10 games | ATL vs ATL@STL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1002 | MLB | Austin Riley 10 games | ATL vs ATL@STL | TB | 1.5 | +155 | 1 | -0.5 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1003 | MLB | Bo Bichette 10 games | NYM vs BOS@NYM | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1004 | MLB | Bobby Witt Jr. 10 games | KC vs KCR@BAL | H | 1.5 | +165 | 0.8 | -0.7 | 0/5 | -0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 1005 | MLB | Braden Montgomery 10 games | CWS vs Athletics@ | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 1006 | MLB | Braden Montgomery 10 games | CWS vs Athletics@ | RBI | 0.5 | +242 | 0 | -0.5 | 0/5 | +0 | 29 | F | 4.0 | WIN | LOSS | |
| 1007 | MLB | Brandon Marsh 10 games | PHI vs PHI@DET | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1008 | MLB | Brandon Marsh 10 games | PHI vs PHI@DET | RBI | 0.5 | +246 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1009 | MLB | Brian Navarreto 5 games | MIA vs CLE@MIA | RBI | 0.5 | +296 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1010 | MLB | Brooks Lee 10 games | MIN vs LAA@MIN | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1011 | MLB | Bryce Harper 10 games | PHI vs PHI@DET | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1012 | MLB | Bryce Harper 10 games | PHI vs PHI@DET | RBI | 0.5 | +231 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1013 | MLB | Bryson Stott 10 games | PHI vs PHI@DET | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1014 | MLB | Cal Raleigh 10 games | SEA vs SEA@TBR | HR | 0.5 | +280 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1015 | MLB | Cal Raleigh 10 games | SEA vs SEA@TBR | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1016 | MLB | Cal Raleigh 10 games | SEA vs SEA@TBR | TB | 1.5 | +135 | 1.2 | -0.3 | 1/5 | -0.8 | 29 | F | 1.0 | LOSS | WIN | |
| 1017 | MLB | Cam Smith 10 games | HOU vs HOU@TEX | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1018 | MLB | Cam Smith 10 games | HOU vs HOU@TEX | R | 0.5 | +145 | 0.4 | -0.1 | 1/5 | -0.6 | 29 | F | 1.0 | WIN | LOSS | |
| 1019 | MLB | Cam Smith 10 games | HOU vs HOU@TEX | RBI | 0.5 | +246 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 1020 | MLB | Cam Smith 10 games | HOU vs HOU@TEX | TB | 1.5 | +170 | 0.6 | -0.9 | 1/5 | -1.5 | 29 | F | 4.0 | WIN | LOSS | |
| 1021 | MLB | Carson Benge 10 games | NYM vs BOS@NYM | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1022 | MLB | Carter Jensen 10 games | KC vs KCR@BAL | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1023 | MLB | Carter Jensen 10 games | KC vs KCR@BAL | R | 0.5 | +100 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1024 | MLB | Carter Jensen 10 games | KC vs KCR@BAL | TB | 1.5 | +133 | 0.6 | -0.9 | 1/5 | -1.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1025 | MLB | Chandler Simpson 10 games | TB vs SEA@TBR | HR | 0.5 | +1600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1026 | MLB | Chase Meidroth 10 games | CWS vs Athletics@ | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1027 | MLB | Christian Walker 10 games | HOU vs HOU@TEX | HR | 0.5 | +425 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1028 | MLB | Christian Yelich 10 games | MIL vs MIL@PIT | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1029 | MLB | Cody Bellinger 10 games | NYY vs NYY@WSN | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1030 | MLB | Colby Thomas 10 games | ATH vs Athletics@ | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1031 | MLB | Colby Thomas 10 games | ATH vs Athletics@ | R | 0.5 | +150 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1032 | MLB | Colby Thomas 10 games | ATH vs Athletics@ | RBI | 0.5 | +244 | 0 | -0.5 | 0/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 1033 | MLB | Cole Carrigg 10 games | COL vs COL@SFG | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1034 | MLB | Cole Carrigg 10 games | COL vs COL@SFG | R | 0.5 | +125 | 0.4 | -0.1 | 1/5 | -1 | 29 | F | 0.0 | LOSS | WIN | |
| 1035 | MLB | Cole Carrigg 10 games | COL vs COL@SFG | RBI | 0.5 | +217 | 0.2 | -0.3 | 1/5 | -0.8 | 29 | F | 0.0 | LOSS | WIN | |
| 1036 | MLB | Colson Montgomery 10 games | CWS vs Athletics@ | HR | 0.5 | +350 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 1037 | MLB | Colson Montgomery 10 games | CWS vs Athletics@ | TB | 1.5 | +150 | 0.6 | -0.9 | 1/5 | -0.9 | 29 | F | 1.0 | LOSS | WIN | |
| 1038 | MLB | Colt Emerson 10 games | SEA vs SEA@TBR | R | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 1039 | MLB | Colton Cowser 10 games | BAL vs KCR@BAL | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1040 | MLB | Colton Cowser 10 games | BAL vs KCR@BAL | RBI | 0.5 | +199 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1041 | MLB | Connor Wong 10 games | BOS vs BOS@NYM | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1042 | MLB | Connor Wong 10 games | BOS vs BOS@NYM | TB | 1.5 | +195 | 1 | -0.5 | 1/5 | -0.6 | 29 | F | 1.0 | LOSS | WIN | |
| 1043 | MLB | Cooper Pratt 10 games | MIL vs MIL@PIT | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1044 | MLB | Corbin Carroll 10 games | AZ vs ARI@LAD | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 1045 | MLB | Corbin Carroll 10 games | AZ vs ARI@LAD | RBI | 0.5 | +164 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 1046 | MLB | Dalton Rushing 10 games | LAD vs ARI@LAD | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 1047 | MLB | Dalton Rushing 10 games | LAD vs ARI@LAD | RBI | 0.5 | +170 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 1048 | MLB | Daniel Schneemann 10 games | CLE vs CLE@MIA | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 1049 | MLB | Daniel Schneemann 10 games | CLE vs CLE@MIA | R | 0.5 | +175 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1050 | MLB | Dansby Swanson 10 games | CHC vs CHC@CIN | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | -0.5 | 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.