Dean Kremer

P Minnesota Twins

Age 31 RHP 6'2" / 210 lbs MLB Svc 4.0 · Ctrl thru 2028 peak 1.5 · 2027

Overview

MLBSP40-MANArb-2FA 2029

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	MIX2 levels	27	27	138	4.55	4.45	22.0%	9.2%	0.7	K 22.2% · BB 9.2% · FIP 4.19
2025	29	MLBBAL	31	29	172	4.19	3.90	20.1%	6.4%	2.1
2026	30	MIX2 levels	21	21	110	4.17	4.25	25.3%	7.7%	0.8	K 24.5% · BB 7.6% · FIP 4.38
2027PROJ	31	MLBMIN	24	24	144	4.38	4.52	22.0%	7.4%	0.6
2028PROJ	32	MLBMIN	22	22	133	4.63	4.79	21.2%	7.8%	0.2
2029PROJ	33	MLBMIN	20	20	122	4.89	5.07	20.3%	8.2%	-0.2

Last 3 seasons WAR 3.6 · Next 3 projected WAR 0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2028Service4.651First FA2029

2027Arb-2$5M2028Arb-3$5M

Skills · percentileStatcast 2026

Whiff%70

K%58

xwOBA vs49

FB Velo26

CompsChase Anderson (age 31) · Miguel González (age 31) · Tim Adleman (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 115106vR 98

ERA4.38

FIP4.52

K%22.0%

BB%7.4%

K-BB%14.6%

Proj IP144

Value2027 · WAR

Runs saved vs league avg · 144 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control-$4M ctrl surplus

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—50

STUF5055

CTRL5055

CMD5055

K†5050

Statcast Percentiles

FB Velo

p2692.8

Whiff%

p7028.4%

p5823.6%

xwOBA vs

p490.313

CT (18%)

SL (1%)

SI (13%)

CU (14%)

FB-3.2 (43%)

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Arb-2

MLB Debut 2020

Service 4.651 yrs.days

Team Control Through 2028

First FA Year 2029

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Arb-2	$5M	+0.6	$2M	+$0.0M (cut)
2028	Arb-3	$5M	+0.2	$0.7M	+$0.0M (cut)
Totals		$0.0M		$3M	+$0.0M

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 industry-standard fWAR.

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)
2016	20	MIX MLE	2 levels	12	6	32	118	35	7	0	50%	2.6	21.3%	7.2%	14.1%	0.0%	2.27	2.21	—
2016	20	MIX RAW	2 levels	12	6	32	118	35	7	0	50%	2.6	29.7%	5.9%	23.7%	0.0%	2.27	1.55	—
2017	21	A+ MLE	Rancho Cucamonga Quakes	33	6	80	356	96	34	6	18%	2.4	20.8%	11.0%	9.8%	1.9%	5.17	3.80	—
2017	21	A+ RAW	Rancho Cucamonga Quakes	33	6	80	356	96	34	6	18%	2.4	27.0%	9.6%	17.4%	1.7%	5.17	2.95	—
2018	22	MIX MLE	2 levels	25	25	131	534	178	46	10	100%	5.3	26.1%	9.7%	16.4%	2.2%	2.88	3.32	—
2018	22	MIX RAW	2 levels	25	25	131	534	178	46	10	100%	5.3	33.3%	8.6%	24.7%	1.9%	2.88	2.43	—
2019	23	MIX MLE	3 levels	21	21	114	475	122	37	11	100%	5.4	20.4%	8.3%	12.1%	3.1%	3.72	4.12	—
2019	23	MIX RAW	3 levels	21	21	114	475	122	37	11	100%	5.4	25.7%	7.8%	17.9%	2.3%	3.72	3.19	—
2020	24	MLB MLE	Baltimore Orioles	4	4	19	83	22	12	0	100%	4.7	26.5%	14.5%	12.0%	0.0%	4.82	2.69	+0.5
2020	24	MLB RAW	Baltimore Orioles	4	4	19	83	22	12	0	100%	4.7	26.5%	14.5%	12.0%	0.0%	4.82	2.67	+0.5
2021	25	MIX MLE	2 levels	30	26	116	515	116	45	26	87%	3.9	20.9%	8.9%	12.0%	4.9%	6.13	5.15	-0.3
2021	25	MIX RAW	2 levels	30	26	116	515	116	45	26	87%	3.9	22.5%	8.7%	13.8%	5.0%	6.13	5.18	-0.4
2022	26	MIX MLE	3 levels	25	24	134	544	105	36	11	96%	5.4	17.0%	6.6%	10.4%	2.2%	3.01	3.69	+2.0
2022	26	MIX RAW	3 levels	25	24	134	544	105	36	11	96%	5.4	19.3%	6.6%	12.7%	2.0%	3.01	3.41	+2.5
2023	27	MLB MLE	Baltimore Orioles	32	32	173	735	157	55	27	100%	5.4	21.4%	7.5%	13.9%	3.7%	4.12	4.28	+1.3
2023	27	MLB RAW	Baltimore Orioles	32	32	173	735	157	55	27	100%	5.4	21.4%	7.5%	13.9%	3.7%	4.12	4.27	+1.3
2024	28	MIX MLE	2 levels	27	27	138	599	132	55	22	100%	5.1	22.2%	9.2%	13.0%	3.3%	4.55	4.19	+1.2
2024	28	MIX MLE	2 levels	27	27	138	599	132	55	22	100%	5.1	22.2%	9.2%	13.0%	3.3%	4.55	4.19	+1.2
2024	28	MIX RAW	2 levels	27	27	138	599	132	55	22	100%	5.1	22.0%	9.2%	12.9%	3.7%	4.55	4.45	+0.7
2025	29	MLB MLE	Baltimore Orioles	31	29	172	708	142	45	22	94%	5.5	20.1%	6.4%	13.7%	3.0%	4.19	3.84	+2.2
2025	29	MLB MLE	Baltimore Orioles	31	29	172	708	142	45	22	94%	5.5	20.1%	6.4%	13.7%	3.0%	4.19	3.84	+2.2
2025	29	MLB RAW	Baltimore Orioles	31	29	172	708	142	45	22	94%	5.5	20.1%	6.4%	13.7%	3.1%	4.19	3.90	+2.1
2026	30	MIX MLE	2 levels	21	21	110	439	111	34	19	100%	5.2	24.5%	7.6%	16.9%	4.3%	4.17	4.38	+0.7
2026	30	MIX MLE	2 levels	21	21	110	439	111	34	19	100%	5.2	24.5%	7.6%	16.9%	4.3%	4.17	4.38	+0.7
2026	30	MIX RAW	2 levels	21	21	110	439	111	34	19	100%	5.2	25.3%	7.7%	17.5%	4.3%	4.17	4.25	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			143	140	762	3200	664	251	113	98%	5.3	20.8%	7.8%	12.9%	3.5%	4.31	4.27	+5.6
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	MIN	24	24	144	608	134	45	22	100%	6.0	22.0%	7.4%	14.6%	3.6%	4.38	4.52	+0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	MIN	22	22	133	561	119	44	22	100%	6.0	21.2%	7.8%	13.4%	3.8%	4.62	4.78	+0.2
2029	33	MLB MLE	MIN	20	20	122	515	105	42	21	100%	6.1	20.3%	8.2%	12.1%	4.1%	4.88	5.06	-0.2
2028	32	MLB CTX	MIN	22	22	133	562	119	44	22	100%	6.0	21.2%	7.8%	13.4%	3.9%	4.63	4.79	+0.2
2029	33	MLB CTX	MIN	20	20	122	515	105	42	21	100%	6.1	20.3%	8.2%	12.1%	4.1%	4.89	5.07	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		185	182	1017	4276	888	337	156	98%	5.5	20.8%	7.9%	12.9%	3.6%	4.42	4.35	+6.6
/ 200 IP	—	RAW		36	36	200	841	175	66	31	98%	5.5	20.8%	7.9%	12.9%	3.6%	4.42	4.35	+1.3
Career	—	MLE		261	221	1218	5106	1097	422	157	85%	4.7	21.5%	8.3%	13.2%	3.1%	4.11	4.02	+5.5
/ 200 IP	—	MLE		43	36	200	838	180	69	26	85%	4.7	21.5%	8.3%	13.2%	3.1%	4.11	4.02	+1.1

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
Dean Kremer (OGILVIE)	—	—	4.52	22.0%	7.4%	3.6%	—	4.91	20.8%	12.8%	255	+0.39	—	—	—
Chase Anderson R 2019 · 4.39 FIP	31	SP	4.39	20.9%	8.1%	3.7%	.259	5.39	19.2%	10.0%	218	+1.00	3.30	1,260	70
Miguel González R 2015 · 4.53 FIP	31	SP	4.53	17.5%	7.9%	3.5%	.289	4.23	15.9%	9.0%	325	-0.30	3.72	905	65
Tim Adleman R 2019 · 4.30 FIP	31	SP	4.30	22.8%	7.8%	3.9%	.266	4.71	18.5%	11.1%	90	+0.41	3.63	605	64
Hideki Irabu R 2000 · 4.38 FIP	31	SP	4.38	17.0%	5.7%	3.6%	.374	5.19	17.2%	11.0%	64	+0.81	3.78	514	64
Daisuke Matsuzaka R 2012 · 5.55 FIP	31	SP	5.55	19.1%	9.3%	5.2%	.329	3.83	21.1%	9.5%	122	-1.72	3.77	790	63
Kenta Maeda R 2019 · 3.68 FIP	31	SP-	3.68	27.1%	8.0%	3.4%	.240	3.44	27.8%	22.0%	173	-0.24	2.87	1,092	61
Orlando Hernandez R 2001 · 5.30 FIP	31	SP	5.30	18.6%	9.9%	4.6%	.256	3.78	20.4%	13.1%	231	-1.52	3.35	1,315	60
Mike Fiers R 2016 · 4.30 FIP	31	SP	4.30	18.5%	5.8%	3.7%	.308	4.96	19.2%	12.2%	510	+0.66	2.83	1,140	58
Tanner Roark R 2018 · 3.99 FIP	31	SP	3.99	19.2%	6.2%	3.2%	.289	4.57	21.1%	13.1%	259	+0.58	2.40	1,194	57
Joe Biagini R 2021 · 4.80 FIP	31	SP	4.80	18.0%	10.6%	3.4%	.309	4.53	16.4%	6.6%	39	-0.27	2.66	624	55
Rolando Arrojo R 2000 · 4.47 FIP	32	SP	4.47	16.1%	8.0%	3.1%	.291	3.68	16.4%	9.2%	185	-0.79	3.50	700	54
Brad Peacock R 2019 · 4.22 FIP	31	SP-	4.22	25.1%	8.1%	4.0%	.261	4.15	22.8%	12.5%	96	-0.07	2.97	748	54
Chuck Smith R 2001 · 3.99 FIP	31	SP	3.99	18.4%	8.1%	2.6%	.289	—	—	—	—	—	3.08	211	54
Tom Koehler R 2017 · 4.66 FIP	31	SP-	4.66	22.4%	9.0%	4.2%	.298	—	—	—	—	—	3.76	822	53
Jeremy Hefner R 2016 · 4.64 FIP	30	SP	4.64	16.8%	9.1%	3.3%	.305	—	—	—	—	—	3.56	322	52
Stan Spencer R 2000 · 4.42 FIP	30	SP	4.42	19.2%	8.7%	3.4%	.259	—	—	—	—	—	3.61	119	51
Brian Tollberg R 2002 · 4.98 FIP	29	SP	4.98	11.5%	5.9%	3.8%	.339	—	—	—	—	—	4.02	297	51
Yu Darvish R 2018 · 4.50 FIP	31	SP	4.50	27.2%	11.7%	4.0%	.282	3.48	30.5%	24.0%	421	-1.02	1.97	1,798	50
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	3.84	193	50
Jose Samayoa R 2019 · 4.05 FIP	29	SP	4.05	19.4%	7.0%	3.1%	.314	—	—	—	—	—	3.44	262	50

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,853 starter careers (497 from 1990-2025 + 1,356 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	5.8	129	20.9%	7.8%	1.41	4.41
Tyler Anderson ('25)	6.3	126	19.5%	7.8%	1.32	4.30
Mike Foltynewicz ('21)	4.1	138	21.3%	7.8%	1.48	4.52
Craig Swan ('73-'84, 10 WAR*)	6.2	124	18.8%*	7.1%*	1.36*	4.46*
Jack Scott ('16-'29, 13 WAR*)	9.1	165	22.5%*	7.7%*	1.37*	4.46*
Dennis Bennett ('62-'68, 7 WAR*)	4.3	123	19.8%*	8.1%*	1.41*	4.40*
Ted Lilly ('13)	9.9	142	20.0%	7.9%	1.33	4.14