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 | Kyle Manzardo 10 games | CLE vs PIT@CLE | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1002 | MLB | Kyle Manzardo 10 games | CLE vs PIT@CLE | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1003 | MLB | Kyle Schwarber 10 games | PHI vs NYM@PHI | RBI | 0.5 | +128 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 1004 | MLB | Kyle Teel 10 games | CWS vs CHW@TOR | H | 1.5 | +340 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1005 | MLB | Kyle Teel 10 games | CWS vs CHW@TOR | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1006 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYY | RBI | 0.5 | +211 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 1007 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYY | TB | 1.5 | +160 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | — | PENDING | PENDING | |
| 1008 | MLB | Liam Hicks 10 games | MIA vs MIA@MIL | H | 1.5 | +300 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 1009 | MLB | Logan Webb 8 games | SF vs SFG@SEA | K | 4.5 | -275 | 4.4 | -0.1 | 3/5 | -1.4 | 32 | F | 5.0 | WIN | LOSS | |
| 1010 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs STL@ARI | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1011 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs STL@ARI | RBI | 0.5 | +179 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1012 | MLB | Luis Campusano 9 games | SD vs SDP@KCR | RBI | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 1013 | MLB | Luis Lara 5 games | MIL vs MIA@MIL | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1014 | MLB | Luis Lara 5 games | MIL vs MIA@MIL | RBI | 0.5 | +241 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1015 | MLB | Luke Keaschall 10 games | MIN vs MIN@CHC | RBI | 0.5 | +253 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1016 | MLB | Luke Raley 10 games | SEA vs SFG@SEA | H | 1.5 | +400 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1017 | MLB | Luke Raley 10 games | SEA vs SFG@SEA | TB | 1.5 | +195 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 1018 | MLB | Manny Machado 10 games | SD vs SDP@KCR | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1019 | MLB | Marcell Ozuna 10 games | PIT vs PIT@CLE | H | 1.5 | +450 | 0.8 | -0.7 | 1/5 | +0 | 32 | F | 1.0 | LOSS | WIN | |
| 1020 | MLB | Marcell Ozuna 10 games | PIT vs PIT@CLE | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 1021 | MLB | Marcell Ozuna 10 games | PIT vs PIT@CLE | R | 0.5 | +180 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1022 | MLB | Marcell Ozuna 10 games | PIT vs PIT@CLE | RBI | 0.5 | +249 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1023 | MLB | Marcell Ozuna 10 games | PIT vs PIT@CLE | TB | 1.5 | +190 | 1.4 | -0.1 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 1024 | MLB | Marcus Semien 10 games | NYM vs NYM@PHI | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1025 | MLB | Matt Olson 10 games | ATL vs TEX@ATL | HR | 0.5 | +325 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1026 | MLB | Matt Olson 10 games | ATL vs TEX@ATL | R | 0.5 | +100 | 0.4 | -0.1 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1027 | MLB | Matt Olson 10 games | ATL vs TEX@ATL | RBI | 0.5 | +151 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1028 | MLB | Matt Olson 10 games | ATL vs TEX@ATL | TB | 1.5 | +112 | 1.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1029 | MLB | Max Kepler 10 games | AZ vs STL@ARI | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 1030 | MLB | Max Kepler 10 games | AZ vs STL@ARI | TB | 1.5 | +137 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 1031 | MLB | Max Muncy 10 games | LAD vs LAD@NYY | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 1032 | MLB | Max Muncy 10 games | LAD vs LAD@NYY | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 1033 | MLB | Max Muncy 10 games | LAD vs LAD@NYY | RBI | 0.5 | +204 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | — | PENDING | PENDING | |
| 1034 | MLB | Michael Conforto 10 games | CHC vs MIN@CHC | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 1035 | MLB | Michael Conforto 10 games | CHC vs MIN@CHC | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | — | PENDING | PENDING | |
| 1036 | MLB | Michael Harris II 10 games | ATL vs TEX@ATL | H | 1.5 | +190 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 2.0 | WIN | LOSS | |
| 1037 | MLB | Michael Massey 10 games | KC vs SDP@KCR | RBI | 0.5 | +218 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1038 | MLB | Mickey Moniak 10 games | COL vs CIN@COL | H | 1.5 | +162 | 0.6 | -0.9 | 1/5 | +-0 | 32 | F | 2.0 | WIN | LOSS | |
| 1039 | MLB | Mickey Moniak 10 games | COL vs CIN@COL | RBI | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 1040 | MLB | Miguel Vargas 10 games | CWS vs CHW@TOR | R | 1.5 | +600 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1041 | MLB | Miguel Vargas 10 games | CWS vs CHW@TOR | RBI | 1.5 | +450 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1042 | MLB | Nathan Lukes 10 games | TOR vs CHW@TOR | H | 1.5 | +230 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1043 | MLB | Nathan Lukes 10 games | TOR vs CHW@TOR | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1044 | MLB | Nathan Lukes 10 games | TOR vs CHW@TOR | R | 1.5 | +900 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1045 | MLB | Nathan Lukes 10 games | TOR vs CHW@TOR | RBI | 0.5 | +245 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1046 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@COL | H | 1.5 | +184 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 1047 | MLB | Nathaniel Lowe 10 games | CIN vs CIN@COL | RBI | 0.5 | +132 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 1048 | MLB | Nicky Lopez 10 games | TEX vs TEX@ATL | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 1049 | MLB | Nicky Lopez 10 games | TEX vs TEX@ATL | TB | 1.5 | +195 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 1050 | MLB | Nico Hoerner 10 games | CHC vs MIN@CHC | H | 1.5 | +240 | 0.6 | -0.9 | 1/5 | +-0 | 32 | F | 4.0 | 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.