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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 951 | MLB | Weston Wilson 10 games | SEA vs SFG@SEA | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 952 | MLB | Willson Contreras 10 games | BOS vs TBR@BOS | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 953 | MLB | Wyatt Langford 10 games | TEX vs TEX@ATL | H | 1.5 | +180 | 1 | -0.5 | 1/5 | -0.3 | 32 | F | 3.0 | WIN | LOSS | |
| 954 | MLB | Wyatt Langford 10 games | TEX vs TEX@ATL | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 955 | MLB | Xander Bogaerts 10 games | SD vs SDP@KCR | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 956 | MLB | Xander Bogaerts 10 games | SD vs SDP@KCR | TB | 1.5 | +140 | 1.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 957 | MLB | Xavier Edwards 10 games | MIA vs MIA@MIL | RBI | 0.5 | +230 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 958 | MLB | Xavier Edwards 10 games | MIA vs MIA@MIL | TB | 1.5 | +152 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 959 | MLB | Yainer Diaz 10 games | HOU vs BAL@HOU | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 960 | MLB | Yandy Diaz 10 games | TB vs TBR@BOS | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 961 | MLB | Yordan Alvarez 10 games | HOU vs BAL@HOU | HR | 0.5 | +210 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 962 | MLB | Zach McKinstry 10 games | DET vs DET@LAA | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 963 | MLB | Zach McKinstry 10 games | DET vs DET@LAA | RBI | 0.5 | +243 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 964 | MLB | Zach McKinstry 10 games | DET vs DET@LAA | TB | 1.5 | +165 | 0.6 | -0.9 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 965 | MLB | Colton Cowser 10 games | BAL vs BAL@HOU | H | 0.5 | -104 | 0.2 | -0.3 | 1/5 | +0.1 | 31 | F | 0.0 | LOSS | WIN | |
| 966 | MLB | Corbin Carroll 10 games | AZ vs STL@ARI | R | 0.5 | -105 | 0.2 | -0.3 | 1/5 | -0.2 | 31 | F | 0.0 | LOSS | WIN | |
| 967 | MLB | Daniel Susac 10 games | SF vs SFG@SEA | H | 0.5 | -110 | 0.2 | -0.3 | 1/5 | -0.4 | 31 | F | — | PENDING | PENDING | |
| 968 | MLB | Dillon Dingler 10 games | DET vs DET@LAA | R | 0.5 | -105 | 0.2 | -0.3 | 1/5 | +0 | 31 | F | 0.0 | LOSS | WIN | |
| 969 | MLB | Drake Baldwin 10 games | ATL vs TEX@ATL | R | 0.5 | -110 | 0.4 | -0.1 | 1/5 | +0.4 | 31 | F | 3.0 | WIN | LOSS | |
| 970 | MLB | Eduardo Rodriguez 10 games | NL vs STL@ARI | K | 4.5 | +128 | 2.8 | -1.7 | 2/5 | -0.9 | 31 | F | 3.0 | LOSS | WIN | |
| 971 | MLB | Kyle Schwarber 10 games | PHI vs NYM@PHI | R | 0.5 | -110 | 0.4 | -0.1 | 1/5 | +0.3 | 31 | F | 0.0 | LOSS | WIN | |
| 972 | MLB | Manny Machado 10 games | SD vs SDP@KCR | R | 0.5 | -110 | 0.2 | -0.3 | 1/5 | -0.1 | 31 | F | 1.0 | WIN | LOSS | |
| 973 | MLB | Ryan Johnson 5 games | LAA vs DET@LAA | K | 4.5 | -118 | 4 | -0.5 | 2/5 | -0.7 | 31 | F | 5.0 | WIN | LOSS | |
| 974 | MLB | Bobby Witt Jr. 10 games | KC vs SDP@KCR | R | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.3 | 30 | F | — | PENDING | PENDING | |
| 975 | MLB | Daulton Varsho 10 games | TOR vs CHW@TOR | H | 0.5 | -138 | 0.4 | -0.1 | 2/5 | +0.3 | 30 | F | 1.0 | WIN | LOSS | |
| 976 | MLB | Kyle Karros 10 games | COL vs CIN@COL | H | 0.5 | -220 | 0.8 | +0.3 | 2/5 | -0.6 | 30 | F | 1.0 | WIN | LOSS | |
| 977 | MLB | Munetaka Murakami 10 games | CWS vs CHW@TOR | H | 0.5 | -145 | 0.4 | -0.1 | 2/5 | +-0 | 30 | F | 0.0 | LOSS | WIN | |
| 978 | MLB | Nick Loftin 10 games | KC vs SDP@KCR | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | -0.8 | 30 | F | 0.0 | LOSS | WIN | |
| 979 | MLB | Ryan Waldschmidt 10 games | AZ vs STL@ARI | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | -0.2 | 30 | F | 1.0 | WIN | LOSS | |
| 980 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 0.0 | LOSS | WIN | |
| 981 | MLB | A.J. Ewing 10 games | NYM vs NYM@PHI | R | 0.5 | -115 | 0.2 | -0.3 | 1/5 | -0.5 | 29 | F | 0.0 | LOSS | WIN | |
| 982 | MLB | Adley Rutschman 10 games | BAL vs BAL@HOU | HR | 0.5 | +575 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 983 | MLB | Adley Rutschman 10 games | BAL vs BAL@HOU | RBI | 0.5 | +211 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | — | PENDING | PENDING | |
| 984 | MLB | Alan Roden 7 games | MIN vs MIN@CHC | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 985 | MLB | Alec Bohm 10 games | PHI vs NYM@PHI | HR | 0.5 | +800 | 0 | -0.5 | 0/5 | +0 | 29 | F | 1.0 | WIN | LOSS | |
| 986 | MLB | Alec Burleson 10 games | STL vs STL@ARI | HR | 0.5 | +525 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 987 | MLB | Alejandro Kirk 10 games | TOR vs CHW@TOR | HR | 0.5 | +600 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 988 | MLB | Alika Williams 10 games | ATH vs WSN@Athlet | HR | 0.5 | +1000 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 989 | MLB | Alika Williams 10 games | ATH vs WSN@Athlet | R | 0.5 | +155 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | 1.0 | WIN | LOSS | |
| 990 | MLB | Alika Williams 10 games | ATH vs WSN@Athlet | RBI | 0.5 | +271 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | 0.0 | LOSS | WIN | |
| 991 | MLB | Andrew Benintendi 10 games | CWS vs CHW@TOR | HR | 0.5 | +475 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 992 | MLB | Andrew Benintendi 10 games | CWS vs CHW@TOR | RBI | 1.5 | +600 | 1 | -0.5 | 1/5 | -0.6 | 29 | F | 1.0 | LOSS | WIN | |
| 993 | MLB | Anthony Seigler 10 games | BOS vs TBR@BOS | R | 0.5 | +125 | 0.4 | -0.1 | 1/5 | -0.6 | 29 | F | — | PENDING | PENDING | |
| 994 | MLB | Austin Martin 10 games | MIN vs MIN@CHC | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 995 | MLB | Ben Rice 10 games | NYY vs LAD@NYY | R | 0.5 | +105 | 0.2 | -0.3 | 1/5 | -0.6 | 29 | F | 0.0 | LOSS | WIN | |
| 996 | MLB | Blaze Jordan 10 games | STL vs STL@ARI | HR | 0.5 | +850 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 997 | MLB | Bo Bichette 10 games | NYM vs NYM@PHI | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 998 | MLB | Bo Bichette 10 games | NYM vs NYM@PHI | R | 0.5 | +120 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 1.0 | WIN | LOSS | |
| 999 | MLB | Bobby Witt Jr. 10 games | KC vs SDP@KCR | HR | 0.5 | +325 | 0 | -0.5 | 0/5 | -0.1 | 29 | F | — | PENDING | PENDING | |
| 1000 | MLB | Bobby Witt Jr. 10 games | KC vs SDP@KCR | RBI | 0.5 | +120 | 0 | -0.5 | 0/5 | -0.3 | 29 | F | — | PENDING | PENDING |
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.