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MLB DFS Projections

Baseball projections carry the widest error bars in daily fantasy. That is a feature of the sport, not a flaw in the model.

Updated 2026-09-09 · rebuilt daily

Projected points per game

MLB season-rate projections · 2026 season · 2026-09-09
#	Player	Team	G	FPPG	Total
1	Pete Crow-ArmstrongCF	CHC	146	10.9	1592
2	James WoodRF	WSH	120	10.6	1267
3	Elly De La CruzSS	CIN	126	9.8	1236
4	Yordan AlvarezDH	HOU	143	9.7	1390
5	Shohei OhtaniDH	LAD	130	9.6	1250
6	Jackson ChourioLF	MIL	111	9.4	1046
7	CJ AbramsSS	WSH	138	9.4	1294
8	Bobby Witt Jr.SS	KC	127	9.3	1184
9	Jordan WalkerRF	STL	142	9.1	1296
10	Junior Caminero3B	TB	144	9.1	1310
11	Kyle SchwarberDH	PHI	139	9.1	1263
12	Miguel Vargas3B	CHW	142	9.0	1273
13	Brice Turang2B	MIL	135	8.9	1200
14	Ben RiceDH	NYY	138	8.9	1225
15	Fernando Tatis Jr.RF	SD	143	8.8	1262
16	Sal Stewart1B	CIN	145	8.8	1277
17	Seiya SuzukiRF	CHC	128	8.7	1118
18	Pete Alonso1B	BAL	146	8.6	1261
19	Jake McCarthyLF	COL	129	8.6	1113
20	Hunter GoodmanC	COL	124	8.6	1066
21	Randy ArozarenaLF	SEA	137	8.6	1177
22	Bryce Harper1B	PHI	145	8.6	1241
23	Matt Olson1B	ATL	145	8.5	1233
24	Rafael Devers1B	SF	146	8.5	1240
25	Munetaka Murakami1B	CHW	109	8.5	923
26	Jake Bauers1B	MIL	131	8.4	1105
27	Otto LopezSS	MIA	142	8.4	1197
28	Corbin CarrollRF	ARI	141	8.4	1186
29	Zach NetoSS	LAA	140	8.4	1174
30	Brandon Lowe2B	PIT	135	8.4	1130
31	Yandy DiazDH	TB	139	8.4	1161
32	Andy PagesCF	LAD	128	8.3	1063
33	Kevin McGonigleSS	DET	140	8.2	1150
34	Alec Burleson1B	STL	145	8.2	1190
35	Jose Ramirez3B	CLE	111	8.2	910
36	Willson Contreras1B	BOS	125	8.1	1015
37	Drake BaldwinC	ATL	122	8.1	990
38	Alex Bregman3B	CHC	143	8.1	1157
39	Bryan ReynoldsLF	PIT	145	8.1	1169
40	Mike TroutCF	LAA	126	8.0	1013
41	Gabriel MorenoC	ARI	115	8.0	919
42	Wilyer AbreuRF	BOS	142	8.0	1131
43	Riley GreeneLF	DET	124	7.9	978
44	Jazz Chisholm Jr.2B	NYY	134	7.9	1055
45	Chase DeLauterRF	CLE	120	7.8	939
46	Ketel Marte2B	ARI	125	7.8	977
47	Freddie Freeman1B	LAD	140	7.8	1090
48	Luis Garcia Jr.1B	NYY	134	7.8	1041
49	Michael Harris IICF	ATL	139	7.7	1077
50	Ceddanne RafaelaCF	BOS	135	7.7	1045
51	Jackson MerrillCF	SD	142	7.7	1099
52	Cody BellingerLF	NYY	117	7.7	904
53	Tyler SoderstromLF	ATH	109	7.7	837
54	Daylen LileLF	WSH	145	7.6	1106
55	Kody Clemens2B	MIN	128	7.6	975
56	Dansby SwansonSS	CHC	119	7.6	903
57	Trea TurnerSS	PHI	140	7.6	1062
58	Jonathan Aranda1B	TB	140	7.5	1057
59	Jac CaglianoneRF	KC	131	7.5	989
60	JJ Wetherholt2B	STL	130	7.5	981

How these numbers are calculated

Season batting totals scored with DraftKings values (3/single, 5/double, 8/triple, 10/home run, 2/RBI, 2/run, 2/walk, 5/stolen base) and divided by games played. Hit-by-pitch is not published in this feed and is excluded. Pitchers are not included.

This is a baseline, not a forecast. It carries no adjustment for opponent, venue, injury or expected game script, and it weights a game in March exactly as heavily as one played yesterday. Use it as the starting point a matchup-aware read departs from, and treat any single figure as the centre of a wide range rather than a prediction.

Three or four plate appearances is a tiny sample

A hitter gets a handful of chances per game. Even an excellent hitter fails most of the time, and a single game tells you almost nothing about true skill. Projections in baseball describe a very wide range of plausible outcomes rather than a likely one.

This is why baseball rewards volume of entries and correlation between players more than precision on any single name.

Handedness is the first filter

Platoon splits are large and stable enough to be a primary input. A left-handed hitter facing a right-handed starter is in a materially different situation from the same hitter facing a lefty, and lineups are often constructed by managers on exactly this basis.