Data through Jul 1 · 2026

Outfield

#	Player	Opp	Score0–100	Formfp/game	Matchupopp quality	Parkrun factor	Projfp
1	Juan SotoNYM	vs TOR	98	98	50	50	9.7
2	Yandy DíazTB	vs KC	96	95	50	50	9.4
3	Pete Crow-ArmstrongCHC	vs SD	94	93	48	58	9.0
4	Jordan WalkerSTL	vs ATL	94	94	51	52	9.2
5	James WoodWSH	vs BOS	92	97	29	58	8.8
6	Kyle SchwarberPHI	vs PIT	90	95	26	52	8.5
7	Iván HerreraSTL	vs ATL	87	86	51	52	8.0
8	Samad TaylorSD	vs CHC	86	83	57	58	7.8
9	Esmerlyn ValdezPIT	vs PHI	86	92	26	52	8.0
10	Bryan ReynoldsPIT	vs PHI	86	91	26	52	7.9
11	Sam AntonacciCWS	vs BAL	85	85	52	55	7.7
12	Wilyer AbreuBOS	vs WSH	85	78	63	58	7.7
13	Cody BellingerNYY	vs DET	85	90	26	52	7.8
14	Ian HappCHC	vs SD	82	82	48	58	7.5
15	Ryan O'HearnPIT	vs PHI	82	88	26	52	7.5
16	Seiya SuzukiCHC	vs SD	81	80	48	58	7.4
17	Ceddanne RafaelaBOS	vs WSH	80	74	63	58	7.4
18	Brandon MarshPHI	vs PIT	80	87	26	52	7.3
19	Fernando Tatis Jr.SD	vs CHC	79	77	57	58	7.3
20	Michael Harris IIATL	vs STL	76	84	30	52	7.0
21	Riley GreeneDET	vs NYY	75	74	50	52	7.0
22	Lars NootbaarSTL	vs ATL	75	73	51	52	7.0
23	Chase DeLauterCLE	vs TEX	72	78	36	45	6.8
24	Jarren DuranBOS	vs WSH	72	65	63	58	6.8
25	Carson BengeNYM	vs TOR	71	71	50	50	6.7
26	A.J. EwingNYM	vs TOR	68	68	50	50	6.5
27	Mauricio DubónATL	vs STL	67	76	30	52	6.5
28	Taylor WardBAL	vs CWS	66	67	49	55	6.5
29	Braden MontgomeryCWS	vs BAL	66	65	52	55	6.5
30	Brandon NimmoTEX	vs CLE	66	69	45	45	6.5
31	Daylen LileWSH	vs BOS	66	76	29	58	6.5
32	George SpringerTOR	vs NYM	66	66	50	50	6.4
33	Jackson MerrillSD	vs CHC	65	62	57	58	6.4
34	Andrew BenintendiCWS	vs BAL	63	59	52	55	6.2
35	Nelson VelázquezSTL	vs ATL	63	61	51	52	6.2
36	Ryan ViladeTB	vs KC	62	61	50	50	6.2
37	Kerry CarpenterDET	vs NYY	61	58	50	52	6.1
38	Jonny DeLucaTB	vs KC	60	58	50	50	6.1
39	Jac CaglianoneKC	vs TB	59	64	36	50	6.1
40	Daulton VarshoTOR	vs NYM	58	56	50	50	6.0
41	Dylan CrewsWSH	vs BOS	57	68	29	58	6.0
42	Chandler SimpsonTB	vs KC	56	55	50	50	5.9
43	Joc PedersonTEX	vs CLE	55	56	45	45	5.9
44	Nate EatonBOS	vs WSH	55	48	63	58	5.9
45	Cedric MullinsTB	vs KC	53	52	50	50	5.9
46	Leody TaverasBAL	vs CWS	50	49	49	55	5.7
47	Tristan PetersCWS	vs BAL	49	46	52	55	5.6
48	Kahlil WatsonCLE	vs TEX	47	51	36	45	5.5
49	Nathan ChurchSTL	vs ATL	47	46	51	52	5.5
50	Dylan BeaversBAL	vs CWS	46	45	49	55	5.5
51	Miguel AndujarSD	vs CHC	44	41	57	58	5.4
52	Nathan LukesTOR	vs NYM	44	44	50	50	5.4
53	Tyler CallihanPIT	vs PHI	43	53	26	52	5.3
54	Randal GrichukCWS	vs BAL	41	39	52	55	5.2
55	Bryan TorresSTL	vs ATL	41	40	51	52	5.2
56	Jasson DomínguezNYY	vs DET	38	48	26	52	5.1
57	Yohendrick PiñangoTOR	vs NYM	38	36	50	50	5.1
58	Dominic SmithATL	vs STL	37	44	30	52	5.0
59	Evan CarterTEX	vs CLE	36	36	45	45	4.9
60	Masataka YoshidaBOS	vs WSH	35	29	63	58	4.8
61	Isaac CollinsKC	vs TB	35	38	36	50	4.8
62	Jacob YoungWSH	vs BOS	34	42	29	58	4.8
63	Victor Mesa Jr.TB	vs KC	34	32	50	50	4.8
64	Matt VierlingDET	vs NYY	32	31	50	52	4.7
65	Edmundo SosaPHI	vs PIT	32	39	26	52	4.7
66	Daniel SchneemannCLE	vs TEX	30	34	36	45	4.6
67	Jake MangumPIT	vs PHI	30	37	26	52	4.6
68	José FermínSTL	vs ATL	29	27	51	52	4.6
69	Colton CowserBAL	vs CWS	27	27	49	55	4.5
70	Steven KwanCLE	vs TEX	27	32	36	45	4.5
71	Marcell OzunaPIT	vs PHI	27	35	26	52	4.5
72	Josh RojasKC	vs TB	26	29	36	50	4.4
73	Alejandro OsunaTEX	vs CLE	25	25	45	45	4.3
74	Rowdy TellezATL	vs STL	25	30	30	52	4.3
75	Lane ThomasKC	vs TB	25	28	36	50	4.3
76	Justin CrawfordPHI	vs PIT	24	30	26	52	4.2
77	Michael ConfortoCHC	vs SD	23	22	48	58	4.1
78	Junior PerezCWS	vs BAL	22	20	52	55	4.0
79	Mike YastrzemskiATL	vs STL	20	21	30	52	3.7
80	John RaveKC	vs TB	20	21	36	50	3.8
81	Luisangel AcuñaCWS	vs BAL	19	18	52	55	3.7
82	Eli WhiteATL	vs STL	13	15	30	52	3.3
83	Kameron MisnerKC	vs TB	13	14	36	50	3.3
84	Starling MarteKC	vs TB	13	13	36	50	3.3
85	José TenaWSH	vs BOS	12	13	29	58	3.2
86	Max SchuemannNYY	vs DET	11	14	26	52	3.2
87	Tyler O'NeillBAL	vs CWS	10	10	49	55	3.1
88	Tyrone TaylorNYM	vs TOR	10	10	50	50	3.2
89	David FryCLE	vs TEX	9	9	36	45	2.9
90	Spencer JonesNYY	vs DET	9	12	26	52	3.0
91	Myles StrawTOR	vs NYM	9	9	50	50	3.0
92	Derek HillPHI	vs PIT	9	11	26	52	2.9
93	Eric WagamanNYM	vs TOR	7	7	50	50	2.8
94	Cooper IngleCLE	vs TEX	6	7	36	45	2.6
95	Tyler TolbertKC	vs TB	5	5	36	50	2.4
96	Ben MalgeriDET	vs NYY	4	4	50	52	2.3
97	James OutmanDET	vs NYY	4	4	50	52	2.3
98	Jahmai JonesDET	vs NYY	3	3	50	52	1.5
99	Gabriel Rincones Jr.PHI	vs PIT	3	3	26	52	2.1
100	Jase BowenSD	vs CHC	2	2	57	58	1.2
101	Billy CookPIT	vs PHI	1	1	26	52	0.7
102	Kevin AlcántaraCHC	vs SD	0	0	48	58	0.5

85 Strong·50 Average·20 Weak·P Probable starter·Sub-scores (Form / Matchup / Park) are 0–100 within-bucket percentiles.

How the MLB Start Score works

The formula. Each batter's projected fantasy points is estimated as: fp_per_game × Matchup × Park × Availability. For starting pitchers it is fp_per_start × Matchup × Park; for relievers, fp_per_game × Park. Each projected value is then converted to a 0–100 score by percentile rank within the position bucket — so an 85 means the player ranks in roughly the top 15% of scorable players at their position for that game.

Fantasy points formula (Sleeper MLB default). Batters: 1B ×3, 2B ×5, 3B ×8, HR ×10, RBI ×3.5, R ×2, SB ×4, BB ×2, HBP ×2, SO ×(−1). Starting Pitchers: IP ×3, W ×4, ER ×(−2), SO ×1, H ×(−1), BB ×(−1), HBP ×(−1). Relievers add SV ×5 and HLD ×2. This is a labeled assumption; platform-specific formats are future toggles.

Form (fp/game) is the player's season-to-date fantasy point rate — total season fantasy points divided by games played. This is the heaviest term: a player's production rate is the most stable signal available from public box-score data. Minimum 10 plate appearances (batters) or 3.0 IP (pitchers) required for a score.

Matchup is a bounded multiplier (×0.80 – ×1.20). For batters, it is the opposing starting pitcher's WHIP vs. the league-average SP WHIP — a higher opponent WHIP means more baserunner opportunities, which is better for batters. For starting pitchers, it is the opposing lineup's quality vs. the league average. Relievers receive no matchup adjustment (park factor only) — their game situation is too variable to model with an advance signal.

Park factor is the home park's run factor from FanGraphs 5-year regressed park factors (100 = neutral). Batter park multiplier: run_factor / 100. SP park multiplier: 100 / run_factor (inverse — a hitter-friendly park hurts pitchers). Updated annually.

Availability. Only players on the active 26-man roster receive a score — players on the IL or not rostered are excluded automatically. The ETL checks active rosters nightly via the MLB Stats API. Always verify injury and lineup status on game day; roster status can change after scores are computed.

Position buckets. Players are grouped into eight buckets: C, 1B, 2B, SS, 3B, OF (batters) and SP, RP (pitchers). Scores are percentile-ranked within each bucket — an 80 at catcher means top-20% of scorable catchers, not top-20% of all players.

Data. Player stats, schedule, and active rosters from the MLB Stats API (statsapi.mlb.com, official, no auth required). Park factors from FanGraphs (2025 regressed values, updated annually). Scores are pre-computed nightly by the ETL and cached in Supabase; this page never calls either API directly. No machine-learning model is used — every weight and assumption is published here.

Related tools

MLB Pitcher Report

Tonight's named probable starters — season form, matchup grade, and park context — the game-first SP complement to the MLB Start Score.

Open tool →MLB Fantasy Matchup Rater

Every upcoming SP start ranked by how favorable the pitcher–lineup matchup is — team offense strength from season batting stats, computed transparently.

Open tool →MLB Fantasy Streaming Finder

Best waiver-wire pickups for the next 7 days — Start Scores aggregated across all upcoming games to rank SP and batter streamers, with a 2-start bonus for pitchers.

Open tool →MLB Fantasy Schedule Analyzer

Team game counts, doubleheaders, and home/away split for the upcoming schedule window — the category-league lens for roster planning and streaming targets.

Open tool →

Informational only — not betting, DFS, or lineup advice. Projections are estimates, not guarantees. Always check injury and lineup news on game day. Standard Sleeper MLB points scoring assumed. Stats via the MLB Stats API; park factors from FanGraphs. Not affiliated with or endorsed by MLB or any MLB club.