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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 901 | MLB | Ketel Marte 10 games | AZ vs COL@ARI | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 902 | MLB | Kevin McGonigle 10 games | DET vs CLE@DET | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 903 | MLB | Kevin McGonigle 10 games | DET vs CLE@DET | R | 1.5 | +550 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 904 | MLB | Kody Clemens 10 games | MIN vs BAL@MIN | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 905 | MLB | Kody Clemens 10 games | MIN vs BAL@MIN | R | 0.5 | +115 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 906 | MLB | Kody Clemens 10 games | MIN vs BAL@MIN | RBI | 0.5 | +140 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 907 | MLB | Kyle Isbel 7 games | KC vs KCR@LAD | H | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 908 | MLB | Kyle Isbel 7 games | KC vs KCR@LAD | HR | 0.5 | +1300 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 909 | MLB | Kyle Isbel 7 games | KC vs KCR@LAD | R | 0.5 | +260 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 910 | MLB | Kyle Isbel 7 games | KC vs KCR@LAD | RBI | 0.5 | +375 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 911 | MLB | Kyle Isbel 7 games | KC vs KCR@LAD | TB | 1.5 | +350 | 0.8 | -0.7 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 912 | MLB | Kyle Karros 10 games | COL vs COL@ARI | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 913 | MLB | Kyle Karros 10 games | COL vs COL@ARI | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 914 | MLB | Kyle Schwarber 10 games | PHI vs PHI@STL | HR | 0.5 | +280 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 915 | MLB | Kyle Tucker 10 games | LAD vs KCR@LAD | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 916 | MLB | Lars Nootbaar 10 games | AZ vs COL@ARI | RBI | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 917 | MLB | Lars Nootbaar 10 games | AZ vs COL@ARI | TB | 1.5 | +125 | 0.8 | -0.7 | 1/5 | +-0 | 32 | F | 0.0 | LOSS | WIN | |
| 918 | MLB | Lawrence Butler 10 games | ATH vs TBR@Athlet | TB | 1.5 | +135 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 4.0 | WIN | LOSS | |
| 919 | MLB | Leody Taveras 10 games | BAL vs BAL@MIN | RBI | 0.5 | +195 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 920 | MLB | Liam Hicks 10 games | TB vs TBR@Athlet | RBI | 0.5 | +153 | 0.4 | -0.1 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 921 | MLB | Liam Hicks 10 games | TB vs TBR@Athlet | TB | 1.5 | +125 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 922 | MLB | Luis Campusano 10 games | SD vs MIL@SDP | RBI | 0.5 | +277 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 3.0 | WIN | LOSS | |
| 923 | MLB | Luis Lara 10 games | MIL vs MIL@SDP | R | 0.5 | +160 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 924 | MLB | Luis Rengifo 10 games | SD vs MIL@SDP | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 925 | MLB | Luis Robert Jr. 10 games | NYM vs NYM@ATL | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 926 | MLB | Luke Keaschall 10 games | MIN vs BAL@MIN | RBI | 0.5 | +210 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 927 | MLB | Manny Machado 10 games | SD vs MIL@SDP | RBI | 0.5 | +202 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 928 | MLB | Masataka Yoshida 10 games | BOS vs BOS@TOR | RBI | 1.5 | +900 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 929 | MLB | Max Clark 9 games | DET vs CLE@DET | H | 1.5 | +360 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 930 | MLB | Max Clark 9 games | DET vs CLE@DET | R | 0.5 | +161 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 931 | MLB | Max Clark 9 games | DET vs CLE@DET | RBI | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 932 | MLB | Max Clark 9 games | DET vs CLE@DET | TB | 1.5 | +180 | 1.4 | -0.1 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 933 | MLB | Michael Conforto 10 games | CHC vs CHC@WSN | RBI | 0.5 | +192 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 934 | MLB | Mike Yastrzemski 10 games | ATL vs NYM@ATL | R | 0.5 | +166 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 935 | MLB | Mike Yastrzemski 10 games | ATL vs NYM@ATL | RBI | 0.5 | +264 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 936 | MLB | Nathan Church 10 games | STL vs PHI@STL | R | 0.5 | +230 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 937 | MLB | Nathaniel Lowe 10 games | CLE vs CLE@DET | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 938 | MLB | Nathaniel Lowe 10 games | CLE vs CLE@DET | R | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 939 | MLB | Nick Gonzales 10 games | PIT vs PIT@MIA | R | 0.5 | +162 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 940 | MLB | Nick Gonzales 10 games | PIT vs PIT@MIA | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 941 | MLB | Nick Loftin 10 games | KC vs KCR@LAD | R | 0.5 | +148 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 942 | MLB | Nick Sogard 10 games | BOS vs BOS@TOR | H | 1.5 | +360 | 1.2 | -0.3 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 943 | MLB | Noelvi Marte 10 games | CIN vs CIN@CHW | RBI | 0.5 | +240 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 944 | MLB | Nolan Schanuel 10 games | LAA vs TEX@LAA | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 945 | MLB | Otto Lopez 10 games | MIA vs PIT@MIA | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 946 | MLB | Otto Lopez 10 games | MIA vs PIT@MIA | RBI | 0.5 | +249 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 947 | MLB | Owen Caissie 10 games | MIA vs PIT@MIA | RBI | 0.5 | +290 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 948 | MLB | Owen Caissie 10 games | MIA vs PIT@MIA | TB | 1.5 | +260 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 949 | MLB | Ozzie Albies 10 games | ATL vs NYM@ATL | TB | 1.5 | +145 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 4.0 | WIN | LOSS | |
| 950 | MLB | Patrick Bailey 10 games | CLE vs CLE@DET | H | 1.5 | +380 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | 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.