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🔥 Prop Grades

Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.

Daily Grades Analytics
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All Sports NBA MLB NFL | All Over Wins Over Losses Pending |
Total Props
1,911
A Grades
0
B Grades
0
Avg Score
21
Resolved
1106
Over Hit Rate
23.2%
# Sport Player Matchup Stat Line Odds L5 Avg Edge Hit Trend Score Grade Final Over Under Books
201 MLB Zach McKinstry 9 games DET vs MIN H 0.5 -135 0.6 +0.1 3/5 +0.3 44 F 1.0 WIN LOSS BetMGM, BetOnline.ag, BetRivers, DraftKings
202 MLB Alec Bohm 10 games PHI vs HOU H 0.5 -210 1 +0.5 3/5 -0.6 43 F 1.0 WIN LOSS BetMGM, BetOnline.ag, BetRivers, DraftKings
203 MLB Jazz Chisholm Jr. 10 games NYY vs COL H 0.5 -167 1 +0.5 3/5 -0.8 43 F 2.0 WIN LOSS BetMGM, BetOnline.ag, BetRivers, DraftKings
204 MLB Kody Clemens 10 games DET vs MIN H 0.5 -175 1 +0.5 3/5 -0.6 43 F 1.0 WIN LOSS BetMGM, BetOnline.ag, BetRivers, DraftKings, Fanatics
205 MLB Nolan Arenado 10 games KC vs ARI H 0.5 -200 0.8 +0.3 3/5 +0.5 43 F 0.0 LOSS WIN BetMGM, BetOnline.ag, BetRivers, DraftKings
206 MLB Adley Rutschman 10 games BOS vs LAA HR 0.5 +750 0.6 +0.1 2/5 +0 42 F — PENDING PENDING BetRivers, Caesars
207 MLB Alejandro Kirk 10 games OAK vs TOR RBI 0.5 +122 0.6 +0.1 2/5 +0.4 42 F 1.0 WIN LOSS BetRivers, DraftKings
208 MLB Brett Bateman 10 games OAK vs TOR H 1.5 +186 1.6 +0.1 2/5 +0 42 F 1.0 LOSS WIN BetOnline.ag, DraftKings
209 MLB Carter Jensen 10 games KC vs ARI HR 0.5 +500 0.6 +0.1 2/5 -0.5 42 F 0.0 LOSS WIN BetRivers, Caesars
210 MLB Cedric Mullins 10 games ATL vs TB H 0.5 -141 0.6 +0.1 3/5 -0.3 42 F — PENDING PENDING BetOnline.ag, BetRivers, DraftKings
211 MLB Chase DeLauter 10 games BAL vs CLE H 1.5 +204 1.6 +0.1 2/5 +0 42 F — PENDING PENDING BetOnline.ag
212 MLB Christian Encarnacion-Strand 10 games BAL vs CLE RBI 0.5 +172 0.6 +0.1 2/5 +0 42 F 0.0 LOSS WIN BetMGM, BetRivers, DraftKings
213 MLB Cody Bellinger 10 games NYY vs COL RBI 0.5 +160 0.6 +0.1 2/5 +0.3 42 F 0.0 LOSS WIN BetMGM, BetRivers, DraftKings
214 MLB Colson Montgomery 10 games CWS vs PIT RBI 0.5 +175 0.6 +0.1 2/5 +0.1 42 F 1.0 WIN LOSS BetMGM, BetRivers, DraftKings
215 MLB Connor Wong 10 games BOS vs LAA H 0.5 -138 0.6 +0.1 3/5 -0.5 42 F 0.0 LOSS WIN BetOnline.ag, DraftKings
216 MLB Corey Seager 10 games SEA vs TEX RBI 0.5 +205 0.6 +0.1 2/5 -0.1 42 F 1.0 WIN LOSS BetRivers, DraftKings
217 MLB Ernie Clement 10 games OAK vs TOR RBI 0.5 +156 0.6 +0.1 2/5 -0.3 42 F 0.0 LOSS WIN BetRivers, DraftKings
218 MLB Heriberto Hernandez 10 games MIA vs NYM RBI 0.5 +180 0.6 +0.1 2/5 +-0 42 F 0.0 LOSS WIN BetMGM, BetRivers, DraftKings
219 MLB Jackson Chourio 10 games MIL vs CHC RBI 0.5 +172 0.6 +0.1 2/5 +0.4 42 F 2.0 WIN LOSS BetMGM, BetRivers, DraftKings
220 MLB Jake Burger 10 games SEA vs TEX RBI 0.5 +211 0.8 +0.3 2/5 +0.4 42 F 0.0 LOSS WIN BetRivers, DraftKings
221 MLB Joey Ortiz 10 games MIL vs CHC H 0.5 -141 0.6 +0.1 3/5 -0.5 42 F 1.0 WIN LOSS BetMGM, BetOnline.ag, BetRivers, DraftKings
222 MLB Jose Altuve 10 games PHI vs HOU RBI 0.5 +205 0.6 +0.1 2/5 +0 42 F 0.0 LOSS WIN BetMGM, BetRivers, DraftKings
223 MLB Jung Hoo Lee 10 games SF vs STL RBI 0.5 +200 0.6 +0.1 2/5 +0.2 42 F 0.0 LOSS WIN BetMGM, BetRivers, DraftKings
224 MLB Kyle Stowers 10 games MIA vs NYM RBI 0.5 +180 0.6 +0.1 2/5 -0.5 42 F 0.0 LOSS WIN BetMGM, BetRivers, DraftKings
225 MLB Leonardo Bernal 7 games SF vs STL RBI 0.5 +210 0.6 +0.1 2/5 +0 42 F 0.0 LOSS WIN BetMGM, BetRivers, DraftKings
226 MLB Luis Campusano 10 games SD vs WSH RBI 0.5 +213 0.6 +0.1 2/5 +0 42 F 1.0 WIN LOSS BetRivers, DraftKings
227 MLB Nathan Lukes 10 games OAK vs TOR RBI 0.5 +151 0.6 +0.1 2/5 -0.2 42 F 0.0 LOSS WIN BetRivers, DraftKings
228 MLB Pedro Ramirez 10 games MIL vs CHC RBI 0.5 +341 0.6 +0.1 2/5 -0.3 42 F 0.0 LOSS WIN BetMGM, BetRivers, DraftKings, Fanatics
229 MLB Pete Alonso 10 games BAL vs CLE RBI 0.5 +158 0.6 +0.1 2/5 -0.1 42 F 2.0 WIN LOSS BetMGM, BetRivers, DraftKings
230 MLB Rafael Devers 10 games SF vs STL HR 0.5 +500 0.6 +0.1 2/5 +0.1 42 F 0.0 LOSS WIN BetRivers, Caesars
231 MLB Sam Antonacci 10 games CWS vs PIT RBI 0.5 +255 0.6 +0.1 2/5 +0.4 42 F 0.0 LOSS WIN BetMGM, BetRivers, DraftKings
232 MLB Spencer Torkelson 10 games DET vs MIN H 0.5 -140 0.6 +0.1 3/5 -0.2 42 F 0.0 LOSS WIN BetMGM, BetOnline.ag, BetRivers, DraftKings
233 MLB Tyler Stephenson 10 games LAD vs CIN RBI 0.5 +302 0.6 +0.1 2/5 +0.1 42 F 0.0 LOSS WIN BetMGM, BetRivers, DraftKings
234 MLB Connor Norby 10 games NYY vs COL H 0.5 -105 0.6 +0.1 2/5 +0.2 41 F 0.0 LOSS WIN BetMGM, BetOnline.ag, DraftKings
235 MLB Jacob Young 10 games SD vs WSH H 0.5 -107 0.8 +0.3 2/5 +-0 41 F 0.0 LOSS WIN BetOnline.ag, BetRivers, DraftKings
236 MLB Weston Wilson 9 games SEA vs TEX H 0.5 -107 0.6 +0.1 2/5 +0 41 F 0.0 LOSS WIN DraftKings
237 MLB Adley Rutschman 10 games BOS vs LAA H 0.5 -190 0.8 +0.3 3/5 +-0 40 F — PENDING PENDING BetMGM, BetOnline.ag, BetRivers, DraftKings
238 MLB Alejandro Kirk 10 games OAK vs TOR H 1.5 +165 1.2 -0.3 2/5 +0.7 40 F 1.0 LOSS WIN BetOnline.ag, BetRivers, DraftKings
239 MLB Bobby Witt Jr. 10 games KC vs ARI H 0.5 -360 0.8 +0.3 3/5 +0.2 40 F 0.0 LOSS WIN BetRivers
240 MLB Brandon Lowe 10 games CWS vs PIT H 0.5 -164 0.8 +0.3 3/5 -0.1 40 F 2.0 WIN LOSS BetMGM, BetOnline.ag, BetRivers, DraftKings
241 MLB Brayan Rocchio 10 games BAL vs CLE H 0.5 -161 0.6 +0.1 3/5 +-0 40 F 2.0 WIN LOSS BetMGM, BetOnline.ag, BetRivers, DraftKings, Fanatics
242 MLB Bryan Torres 10 games SF vs STL H 0.5 -167 0.6 +0.1 3/5 +0.1 40 F 1.0 WIN LOSS BetMGM, BetOnline.ag, BetRivers, DraftKings
243 MLB Christian Walker 10 games PHI vs HOU H 0.5 -152 0.8 +0.3 3/5 +0.2 40 F 2.0 WIN LOSS BetMGM, BetOnline.ag, BetRivers, DraftKings
244 MLB Christian Yelich 10 games MIL vs CHC H 0.5 -175 0.6 +0.1 3/5 -0.5 40 F 1.0 WIN LOSS BetMGM, BetOnline.ag, DraftKings
245 MLB Daulton Varsho 10 games PHI vs HOU H 0.5 -175 0.6 +0.1 3/5 -0.1 40 F 3.0 WIN LOSS BetMGM, BetOnline.ag, BetRivers, DraftKings, Fanatics
246 MLB Dillon Dingler 10 games DET vs MIN H 0.5 -200 0.6 +0.1 3/5 -0.2 40 F — PENDING PENDING BetMGM, BetOnline.ag, BetRivers, DraftKings
247 MLB Gabriel Moreno 10 games KC vs ARI H 1.5 +200 1.2 -0.3 2/5 +0.6 40 F 1.0 LOSS WIN BetMGM, BetOnline.ag, BetRivers, DraftKings, Fanatics
248 MLB Griffin Conine 10 games MIA vs NYM H 0.5 -182 0.8 +0.3 3/5 +-0 40 F 0.0 LOSS WIN BetOnline.ag
249 MLB Hao-Yu Lee 10 games DET vs MIN H 0.5 -214 0.6 +0.1 3/5 -0.3 40 F 0.0 LOSS WIN BetMGM, BetOnline.ag, BetRivers, DraftKings
250 MLB Ildemaro Vargas 10 games KC vs ARI H 0.5 -200 0.8 +0.3 3/5 +0.2 40 F 0.0 LOSS WIN BetMGM, BetOnline.ag, DraftKings
← 2 3 4 5 6 7 8 → 1,911 total

Methodology

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.