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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 851 | MLB | Ke'Bryan Hayes 5 games | CIN vs CIN@COL | RBI | 0.5 | +180 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 852 | MLB | Kerry Carpenter 10 games | DET vs DET@LAA | HR | 0.5 | +375 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 853 | MLB | Kerry Carpenter 10 games | DET vs DET@LAA | RBI | 0.5 | +167 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 854 | MLB | Ketel Marte 10 games | AZ vs STL@ARI | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 855 | MLB | Ketel Marte 10 games | AZ vs STL@ARI | RBI | 0.5 | +169 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 856 | MLB | Kevin McGonigle 10 games | DET vs DET@LAA | RBI | 1.5 | +600 | 0.4 | -1.1 | 1/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 857 | MLB | Kody Clemens 10 games | MIN vs MIN@CHC | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 2.0 | WIN | LOSS | |
| 858 | MLB | Kody Clemens 10 games | MIN vs MIN@CHC | RBI | 0.5 | +206 | 0.2 | -0.3 | 1/5 | -0.8 | 29 | F | 2.0 | WIN | LOSS | |
| 859 | MLB | Kyle Karros 10 games | COL vs CIN@COL | H | 1.5 | +200 | 0.8 | -0.7 | 1/5 | -0.6 | 29 | F | — | PENDING | PENDING | |
| 860 | MLB | Kyle Manzardo 10 games | CLE vs PIT@CLE | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 861 | MLB | Kyle Schwarber 10 games | PHI vs NYM@PHI | HR | 0.5 | +210 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 1.0 | WIN | LOSS | |
| 862 | MLB | Kyle Stowers 10 games | MIA vs MIA@MIL | HR | 0.5 | +400 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 863 | MLB | Kyle Stowers 10 games | MIA vs MIA@MIL | RBI | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.8 | 29 | F | 0.0 | LOSS | WIN | |
| 864 | MLB | Kyle Teel 10 games | CWS vs CHW@TOR | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYY | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 866 | MLB | Lawrence Butler 10 games | OAK vs WSN@ATHLET | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | Lawrence Butler 10 games | OAK vs WSN@ATHLET | RBI | 0.5 | +181 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 868 | MLB | Liam Hicks 10 games | MIA vs MIA@MIL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Logan O'Hoppe 10 games | LAA vs DET@LAA | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 870 | MLB | Logan O'Hoppe 10 games | LAA vs DET@LAA | RBI | 0.5 | +280 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 871 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs STL@ARI | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Lucas Spence 1 games | HOU vs BAL@HOU | HR | 0.5 | +750 | 0 | -0.5 | 0/1 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 873 | MLB | Lucas Spence 1 games | HOU vs BAL@HOU | RBI | 0.5 | +260 | 0 | -0.5 | 0/1 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 874 | MLB | Luis Arraez 10 games | SF vs SFG@SEA | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 875 | MLB | Luis Arraez 10 games | SF vs SFG@SEA | RBI | 0.5 | +299 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 876 | MLB | Luis Garcia Jr. 10 games | WSH vs WSN@ATHLET | RBI | 1.5 | +400 | 0.6 | -0.9 | 1/5 | -1.1 | 29 | F | 0.0 | LOSS | WIN | |
| 877 | MLB | Luis Lara 5 games | MIL vs MIA@MIL | H | 1.5 | +380 | 0.8 | -0.7 | 0/5 | -0.1 | 29 | F | 1.0 | LOSS | WIN | |
| 878 | MLB | Luis Lara 5 games | MIL vs MIA@MIL | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Luis Lara 5 games | MIL vs MIA@MIL | RBI | 1.5 | +800 | 0.4 | -1.1 | 1/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 880 | MLB | Luke Keaschall 10 games | MIN vs MIN@CHC | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 881 | MLB | Luke Raley 10 games | SEA vs SFG@SEA | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 882 | MLB | Luke Raley 10 games | SEA vs SFG@SEA | RBI | 0.5 | +256 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 883 | MLB | Marcus Semien 10 games | NYM vs NYM@PHI | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 884 | MLB | Masyn Winn 10 games | STL vs STL@ARI | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 885 | MLB | Matt Vierling 10 games | DET vs DET@LAA | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 886 | MLB | Matt Vierling 10 games | DET vs DET@LAA | RBI | 0.5 | +244 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 887 | MLB | Michael Busch 10 games | CHC vs MIN@CHC | HR | 0.5 | +500 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 888 | MLB | Michael Conforto 10 games | CHC vs MIN@CHC | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | — | PENDING | PENDING | |
| 889 | MLB | Michael Harris II 10 games | ATL vs TEX@ATL | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 1.0 | WIN | LOSS | |
| 890 | MLB | Michael Massey 10 games | KC vs SDP@KCR | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 891 | MLB | Mickey Moniak 10 games | COL vs CIN@COL | HR | 0.5 | +260 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 892 | MLB | Mike Trout 10 games | LAA vs DET@LAA | HR | 0.5 | +450 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 893 | MLB | Mike Trout 10 games | LAA vs DET@LAA | RBI | 0.5 | +251 | 0.2 | -0.3 | 1/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 894 | MLB | Mookie Betts 10 games | LAD vs LAD@NYY | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 895 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TOR | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 896 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TOR | RBI | 0.5 | +162 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Nasim Nunez 10 games | WSH vs WSN@ATHLET | HR | 0.5 | +1300 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 898 | MLB | Nasim Nunez 10 games | WSH vs WSN@ATHLET | RBI | 0.5 | +297 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 899 | MLB | Nathan Church 10 games | STL vs STL@ARI | HR | 0.5 | +1100 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 900 | MLB | Nathan Church 10 games | STL vs STL@ARI | RBI | 0.5 | +245 | 0 | -0.5 | 0/5 | +0 | 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.