Grant Anderson

P Milwaukee Brewers

Age 30 RHP 6'0" / 213 lbs MLB peak 0.1 · 2027 ILForty Man (40M)

Overview

MLBRP40M40-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	27	MIX2 levels	49	54	5.47	4.57	26.2%	8.8%	-0.0	K 24.3% · BB 8.2% · FIP 4.43
2025	28	MIX2 levels	68	72	3.52	3.77	24.4%	8.8%	0.7	K 24.7% · BB 8.7% · FIP 3.51
2026	29	MIX2 levels	57	65	3.90	4.28	21.0%	8.8%	0.2	K 22.1% · BB 8.9% · FIP 4.14
2027PROJ	30	MLBMIL	42	44	4.23	4.34	23.3%	8.9%	0.1
2028PROJ95% MLB	31	MLBMIL	34	36	4.43	4.57	22.5%	9.3%	-0.0
2029PROJ95% MLB	32	MLBMIL	24	25	4.66	4.82	21.7%	9.7%	-0.1

Last 3 seasons WAR 0.9 · Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs88

K%50

FB Velo36

CompsKiko Calero (age 30) · Ryan Tepera (age 30) · Manny Acosta (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10395vR 87

ERA4.23

FIP4.34

K%23.3%

BB%8.9%

K-BB%14.4%

Proj IP44

Value2027 · WAR

Runs saved vs league avg · 44 IP

Grades · Statcast · Contract

Scouting Grades

STUF5555

CTRL4545

CMD5050

K†5555

Statcast Percentiles

FB Velo

p3693.5

Whiff%

p5125.4%

p5022.1%

xwOBA vs

p880.275

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2018	21	MIX MLE	2 levels	11	0	11	44	10	5	1	0%	1.0	22.7%	11.4%	11.4%	2.3%	1.64	3.87	—
2018	21	MIX RAW	2 levels	11	0	11	44	10	5	1	0%	1.0	22.7%	11.4%	11.4%	2.3%	1.64	3.83	—
2019	22	A MLE	Hickory Crawdads	37	0	64	275	50	22	1	0%	1.7	13.5%	9.4%	4.0%	0.4%	3.22	3.38	—
2019	22	A RAW	Hickory Crawdads	37	0	64	275	50	22	1	0%	1.7	18.2%	8.0%	10.2%	0.4%	3.22	2.77	—
2021	24	MIX MLE	2 levels	35	0	55	250	61	28	8	0%	1.6	19.2%	12.6%	6.6%	3.9%	5.76	5.19	—
2021	24	MIX RAW	2 levels	35	0	55	250	61	28	8	0%	1.6	24.4%	11.2%	13.2%	3.2%	5.76	4.31	—
2022	25	MIX MLE	2 levels	47	0	67	291	91	21	8	0%	1.4	25.7%	7.9%	17.9%	3.5%	3.48	3.84	—
2022	25	MIX RAW	2 levels	47	0	67	291	91	21	8	0%	1.4	31.3%	7.2%	24.1%	2.7%	3.48	2.88	—
2023	26	MIX MLE	3 levels	51	2	76	323	93	28	12	4%	1.5	25.9%	8.7%	17.2%	3.4%	4.24	3.87	+0.6
2023	26	MIX RAW	3 levels	51	2	76	323	93	28	12	4%	1.5	28.8%	8.7%	20.1%	3.7%	4.24	3.81	+0.7
2024	27	MIX MLE	2 levels	49	0	54	240	63	21	11	0%	1.1	24.3%	8.2%	16.1%	4.3%	5.47	4.43	+0.1
2024	27	MIX MLE	2 levels	49	0	54	240	63	21	11	0%	1.1	24.3%	8.2%	16.1%	4.3%	5.47	4.43	+0.1
2024	27	MIX RAW	2 levels	49	0	54	240	63	21	11	0%	1.1	26.2%	8.8%	17.5%	4.6%	5.47	4.57	-0.0
2025	28	MIX MLE	2 levels	68	0	72	308	75	27	9	0%	1.1	24.7%	8.7%	16.1%	2.5%	3.52	3.51	+0.9
2025	28	MIX MLE	2 levels	68	0	72	308	75	27	9	0%	1.1	24.7%	8.7%	16.1%	2.5%	3.52	3.51	+0.9
2025	28	MIX RAW	2 levels	68	0	72	308	75	27	9	0%	1.1	24.4%	8.8%	15.6%	2.9%	3.52	3.77	+0.7
2026	29	MIX MLE	2 levels	57	0	65	262	55	23	9	0%	1.1	22.1%	8.9%	13.2%	3.2%	3.90	4.14	+0.3
2026	29	MIX MLE	2 levels	57	0	65	262	55	23	9	0%	1.1	22.1%	8.9%	13.2%	3.2%	3.90	4.14	+0.3
2026	29	MIX RAW	2 levels	57	0	65	262	55	23	9	0%	1.1	21.0%	8.8%	12.2%	3.4%	3.90	4.28	+0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			167	0	191	808	185	67	32	0%	1.1	22.9%	8.3%	14.6%	4.0%	4.29	4.39	+0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	MIL	42	0	44	186	43	17	6	0%	1.0	23.3%	8.9%	14.4%	3.1%	4.23	4.34	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	MIL	36	0	38	160	36	15	5	0%	1.1	22.5%	9.3%	13.3%	3.3%	4.43	4.57	-0.0
2029	32	MLB MLE	MIL	25	0	27	113	24	11	4	0%	1.1	21.7%	9.7%	12.1%	3.6%	4.66	4.82	-0.1
2028	31	MLB CTX	MIL	34	0	36	152	34	14	5	0%	1.1	22.5%	9.3%	13.3%	3.3%	4.43	4.57	-0.0
2029	32	MLB CTX	MIL	24	0	25	106	23	10	4	0%	1.0	21.7%	9.7%	12.1%	3.6%	4.66	4.82	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		226	0	252	1068	243	91	41	0%	1.1	22.7%	8.6%	14.2%	3.8%	4.35	4.37	+0.5
/ 200 IP	—	RAW		179	0	200	846	193	72	32	0%	1.1	22.7%	8.6%	14.2%	3.8%	4.35	4.37	+0.4
Career	—	MLE		355	2	464	1993	446	183	59	1%	1.3	22.4%	9.2%	13.2%	3.0%	4.09	4.01	+0.3
/ 200 IP	—	MLE		153	1	200	858	192	79	26	1%	1.3	22.4%	9.2%	13.2%	3.0%	4.09	4.01	+0.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAANashville Sounds · 6 IPFIP 5.13 → 5.37 (+0.24)K% 11.1% → 9.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	11.11%	—	×0.860	9.56%
BB% (unintentional) /BF	7.41%	—	×0.900	6.67%
HR / BF /BF	3.70%	÷1.000	×1.100	4.07%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 5.13 → 5.37, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAARound Rock Express · 28 IPFIP 2.19 → 2.37 (+0.19)K% 28.3% → 24.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.33%	—	×0.860	24.37%
BB% (unintentional) /BF	11.67%	—	×0.900	10.50%
HR / BF /BF	0.00%	÷0.928	×1.100	0.00%

Result: FIP 2.19 → 2.37, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAARound Rock Express · 34 IPFIP 3.07 → 3.52 (+0.45)K% 38.3% → 32.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.30%	—	×0.860	32.94%
BB% (unintentional) /BF	9.93%	—	×0.900	8.94%
HR / BF /BF	3.55%	÷1.035	×1.100	3.77%

Result: FIP 3.07 → 3.52, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAFrisco RoughRiders · 7 IPFIP 4.76 → 6.23 (+1.47)K% 32.1% → 26.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.14%	—	×0.810	26.04%
BB% (unintentional) /BF	3.57%	—	×1.100	3.93%
HR / BF /BF	7.14%	÷0.974	×1.200	8.80%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 95).

Result: FIP 4.76 → 6.23, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAFrisco RoughRiders · 55 IPFIP 2.67 → 3.71 (+1.04)K% 32.1% → 26.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.05%	—	×0.810	25.96%
BB% (unintentional) /BF	6.84%	—	×1.100	7.52%
HR / BF /BF	2.56%	÷0.915	×1.200	3.36%

Result: FIP 2.67 → 3.71, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAARound Rock Express · 13 IPFIP 3.77 → 4.39 (+0.63)K% 28.1% → 24.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.07%	—	×0.880	24.70%
BB% (unintentional) /BF	8.77%	—	×1.050	9.21%
HR / BF /BF	3.51%	÷0.957	×1.100	4.03%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 91).

Result: FIP 3.77 → 4.39, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAFrisco RoughRiders · 27 IPFIP 4.96 → 5.58 (+0.62)K% 19.7% → 16.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.70%	—	×0.810	15.95%
BB% (unintentional) /BF	11.36%	—	×1.100	12.50%
HR / BF /BF	3.79%	÷1.114	×1.200	4.08%

Result: FIP 4.96 → 5.58, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 A+Hickory Crawdads · 27 IPFIP 3.39 → 4.76 (+1.37)K% 29.7% → 22.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.66%	—	×0.770	22.84%
BB% (unintentional) /BF	11.02%	—	×1.150	12.67%
HR / BF /BF	2.54%	÷0.881	×1.250	3.61%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 76).

Result: FIP 3.39 → 4.76, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Grant Anderson (OGILVIE)	—	—	4.34	23.3%	8.9%	3.1%	—	4.67	22.2%	12.8%	65	+0.33	—	—	—
Kiko Calero R 2005 · 3.51 FIP	30	SU	3.51	22.7%	7.0%	2.6%	.252	3.23	23.3%	13.9%	99	-0.28	2.27	298	80
Ryan Tepera R 2018 · 3.90 FIP	30	SU	3.90	25.9%	8.7%	3.4%	.282	3.20	28.4%	19.9%	104	-0.70	2.35	445	79
Manny Acosta R 2011 · 3.75 FIP	30	SU	3.75	22.5%	7.4%	2.9%	.321	4.49	21.3%	10.2%	47	+0.74	3.08	350	79
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	79
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	78
Fernando Rodriguez Jr. R 2015 · 3.34 FIP	31	SU	3.34	26.5%	9.6%	2.3%	.241	3.89	23.3%	13.2%	105	+0.55	3.34	335	77
Kerry Ligtenberg R 2001 · 3.20 FIP	30	SU	3.20	22.0%	8.7%	1.6%	.267	3.95	18.5%	11.1%	181	+0.75	2.94	381	77
Jhan Mariñez R 2018 · 4.09 FIP	29	SU	4.09	21.2%	7.9%	3.2%	.331	—	—	—	—	—	3.16	253	76
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	75
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	75
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	1.67	351	75
Adam Warren R 2018 · 3.72 FIP	30	SU	3.72	23.3%	8.5%	2.8%	.288	4.69	20.6%	9.9%	86	+0.97	2.65	548	75
AJ Ramos R 2017 · 3.86 FIP	30	SU	3.86	27.9%	12.8%	2.7%	.288	5.02	25.0%	8.0%	20	+1.16	2.55	410	74
Matt Lindstrom R 2010 · 3.75 FIP	30	SU	3.75	17.6%	7.8%	2.1%	.356	2.94	17.8%	11.4%	162	-0.81	2.40	443	74
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	74
Jose Veras R 2011 · 3.37 FIP	30	SU	3.37	25.9%	10.2%	2.1%	.254	3.67	24.9%	13.6%	176	+0.30	3.37	422	74
Brian Schlitter R 2016 · 3.28 FIP	30	SU	3.28	20.6%	10.8%	1.0%	.333	3.81	14.4%	6.6%	110	+0.53	3.27	300	73
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	73
Jeremy Fikac R 2004 · 4.91 FIP	29	SU	4.91	19.6%	8.0%	4.5%	.276	—	—	—	—	—	3.10	136	73
Jeff Fulchino R 2010 · 4.30 FIP	30	SU	4.30	21.2%	9.2%	3.3%	.319	4.44	20.4%	9.3%	35	+0.14	3.36	178	73

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.5	43	22.8%	9.3%	1.44	4.33
Noé Ramirez ('22)	1.5	59	24.8%	9.4%	1.42	4.21
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
Michael Tonkin ('25)	1.6	55	23.2%	8.1%	1.28	4.23
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*