Cole Sands

P Minnesota Twins

Age 30 RHP 6'3" / 215 lbs MLB peak 0.2 · 2027 ILInjured 60-Day (D60)

Overview

MLBRPIL-6040-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	27	MLBMIN	62	0	71	3.28	2.31	29.1%	4.1%	1.9
2025	28	MLBMIN	69	3	72	4.50	3.29	21.4%	5.7%	1.1
2026	29	MIX3 levels	20	0	20	4.95	4.25	23.5%	9.4%	0.1	K 19.6% · BB 8.9% · FIP 5.50
2027PROJ	30	MLBMIN	30	0	31	4.00	3.96	22.5%	5.6%	0.2
2028PROJ95% MLB	31	MLBMIN	35	0	37	4.11	4.19	21.8%	5.9%	0.2
2029PROJ95% MLB	32	MLBMIN	26	0	27	4.31	4.44	21.0%	6.3%	0.0

Last 3 seasons WAR 3.1 · Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%32

FB Velo30

xwOBA vs10

CompsMike Fyhrie (age 30) · Kiko Calero (age 30) · Manny Acosta (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 108100vR 92

ERA4.00

FIP3.96

K%22.5%

BB%5.6%

K-BB%16.9%

Proj IP31

Value2027 · WAR

Runs saved vs league avg · 31 IP

Grades · Statcast · Contract

Scouting Grades

STUF4545

CTRL6565

CMD6060

K†5555

Statcast Percentiles

FB Velo

p3093.1

Whiff%

p3623.3%

p3219.6%

xwOBA vs

p100.364

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)
2019	22	MIX MLE	3 levels	18	18	97	383	108	19	4	100%	5.4	21.1%	5.7%	15.3%	1.0%	2.68	2.60	—
2019	22	MIX RAW	3 levels	18	18	97	383	108	19	4	100%	5.4	28.2%	5.0%	23.2%	1.0%	2.68	2.00	—
2021	24	AA MLE	Wichita Wind Surge	19	18	80	334	96	35	6	95%	4.2	23.3%	11.5%	11.8%	2.0%	2.46	3.67	—
2021	24	AA RAW	Wichita Wind Surge	19	18	80	334	96	35	6	95%	4.2	28.7%	10.5%	18.3%	1.8%	2.46	2.99	—
2022	25	MIX MLE	2 levels	30	16	92	429	100	37	13	53%	3.1	21.3%	8.9%	12.4%	3.5%	5.65	4.38	+1.1
2022	25	MIX RAW	2 levels	30	16	92	429	100	37	13	53%	3.1	23.3%	8.6%	14.7%	3.0%	5.65	3.97	+1.6
2023	26	MIX MLE	2 levels	34	0	52	217	62	23	6	0%	1.5	25.9%	10.1%	15.8%	2.8%	2.41	3.75	+0.5
2023	26	MIX RAW	2 levels	34	0	52	217	62	23	6	0%	1.5	28.6%	10.6%	18.0%	2.8%	2.41	3.54	+0.6
2024	27	MLB MLE	Minnesota Twins	62	0	71	292	85	12	6	0%	1.2	29.1%	4.1%	25.0%	2.0%	3.28	2.28	+1.9
2024	27	MLB MLE	Minnesota Twins	62	0	71	292	85	12	6	0%	1.2	29.1%	4.1%	25.0%	2.0%	3.28	2.28	+1.9
2024	27	MLB RAW	Minnesota Twins	62	0	71	292	85	12	6	0%	1.2	29.1%	4.1%	25.0%	2.1%	3.28	2.31	+1.9
2025	28	MLB MLE	Minnesota Twins	69	3	72	299	64	17	7	4%	1.0	21.4%	5.7%	15.7%	2.3%	4.50	3.29	+1.1
2025	28	MLB MLE	Minnesota Twins	69	3	72	299	64	17	7	4%	1.0	21.4%	5.7%	15.7%	2.3%	4.50	3.29	+1.1
2025	28	MLB RAW	Minnesota Twins	69	3	72	299	64	17	7	4%	1.0	21.4%	5.7%	15.7%	2.3%	4.50	3.29	+1.1
2026	29	MIX MLE	3 levels	20	0	20	85	20	8	3	0%	1.0	19.6%	8.9%	10.7%	5.3%	4.95	5.50	-0.2
2026	29	MIX MLE	3 levels	20	0	20	85	20	8	3	0%	1.0	19.6%	8.9%	10.7%	5.3%	4.95	5.50	-0.2
2026	29	MIX RAW	3 levels	20	0	20	85	20	8	3	0%	1.0	23.5%	9.4%	14.1%	3.5%	4.95	4.25	+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			170	6	208	890	209	60	24	4%	1.2	23.5%	6.7%	16.7%	2.7%	4.42	3.46	+2.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	MIN	30	0	31	131	29	7	4	0%	1.0	22.5%	5.6%	16.9%	3.0%	4.00	3.96	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	MIN	37	0	38	163	35	10	5	0%	1.0	21.8%	5.9%	15.8%	3.3%	4.11	4.19	+0.2
2029	32	MLB MLE	MIN	27	0	29	122	25	8	4	0%	1.1	21.0%	6.3%	14.6%	3.5%	4.31	4.44	+0.0
2028	31	MLB CTX	MIN	35	0	37	156	34	9	5	0%	1.1	21.8%	5.9%	15.8%	3.3%	4.11	4.19	+0.2
2029	32	MLB CTX	MIN	26	0	27	114	24	7	4	0%	1.0	21.0%	6.3%	14.6%	3.5%	4.31	4.44	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		231	6	272	1160	267	76	33	3%	1.2	23.0%	6.6%	16.4%	2.9%	4.37	3.56	+3.2
/ 200 IP	—	RAW		170	4	200	854	197	56	24	3%	1.2	23.0%	6.6%	16.4%	2.9%	4.37	3.56	+2.4
Career	—	MLE		252	55	486	2039	472	157	49	22%	1.9	23.1%	7.7%	15.4%	2.4%	3.63	3.45	+2.9
/ 200 IP	—	MLE		104	23	200	840	194	65	20	22%	1.9	23.1%	7.7%	15.4%	2.4%	3.63	3.45	+2.1

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 AAASt. Paul Saints · 7 IPFIP 2.29 → 2.46 (+0.17)K% 26.9% → 23.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.92%	—	×0.860	23.15%
BB% (unintentional) /BF	11.54%	—	×0.900	10.38%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

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 2.29 → 2.46, 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 AAASt. Paul Saints · 31 IPFIP 2.18 → 2.56 (+0.38)K% 34.5% → 29.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.45%	—	×0.860	29.63%
BB% (unintentional) /BF	8.40%	—	×0.900	7.56%
HR / BF /BF	1.68%	÷1.009	×1.100	1.83%

Result: FIP 2.18 → 2.56, 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 AAASt. Paul Saints · 62 IPFIP 3.77 → 4.51 (+0.74)K% 25.4% → 22.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.35%	—	×0.880	22.31%
BB% (unintentional) /BF	8.45%	—	×1.050	8.87%
HR / BF /BF	3.17%	÷0.881	×1.100	3.95%

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 76).

Result: FIP 3.77 → 4.51, 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 AAWichita Wind Surge · 80 IPFIP 2.99 → 3.67 (+0.68)K% 28.7% → 23.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.74%	—	×0.810	23.28%
BB% (unintentional) /BF	10.48%	—	×1.100	11.53%
HR / BF /BF	1.80%	÷1.104	×1.200	1.95%

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 121).

Result: FIP 2.99 → 3.67, 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).

2019 A+Fort Myers Miracle · 52 IPFIP 2.37 → 2.89 (+0.51)K% 27.6% → 21.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.60%	—	×0.770	21.26%
BB% (unintentional) /BF	3.65%	—	×1.150	4.19%
HR / BF /BF	2.08%	÷1.362	×1.250	1.91%

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 172).

Result: FIP 2.37 → 2.89, 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).

2019 ACedar Rapids Kernels · 41 IPFIP 1.52 → 2.29 (+0.76)K% 28.2% → 20.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.16%	—	×0.740	20.84%
BB% (unintentional) /BF	6.32%	—	×1.180	7.46%
HR / BF /BF	0.00%	÷0.997	×1.300	0.00%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 99).

Result: FIP 1.52 → 2.29, 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
Cole Sands (OGILVIE)	—	—	3.96	22.5%	5.6%	3.0%	—	4.30	21.4%	15.3%	67	+0.34	—	—	—
Mike Fyhrie R 2000 · 3.08 FIP	30	SU	3.08	19.5%	5.0%	1.8%	.309	3.87	13.7%	4.4%	69	+0.79	3.08	173	74
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	70
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	70
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	70
Cristhian Martinez R 2012 · 3.09 FIP	30	SU	3.09	20.8%	4.8%	2.1%	.326	—	—	—	—	—	3.09	204	69
Jhan Mariñez R 2018 · 4.09 FIP	29	SU	4.09	21.2%	7.9%	3.2%	.331	—	—	—	—	—	3.16	253	69
Mark Serrano R 2016 · 3.16 FIP	30	SU	3.16	17.7%	6.5%	1.3%	.290	4.36	21.1%	14.0%	88	+1.20	3.16	120	69
Jumbo Diaz R 2014 · 2.87 FIP	30	SU	2.87	26.1%	7.0%	2.0%	.283	3.64	23.0%	15.0%	186	+0.77	2.80	319	69
Aquilino López R 2005 · 3.10 FIP	30	SU	3.10	30.6%	8.3%	2.8%	.333	3.89	16.2%	10.5%	96	+0.79	3.10	207	68
Brian Sweeney R 2004 · 3.03 FIP	30	SW	3.03	15.9%	3.2%	1.6%	.380	4.26	9.7%	5.1%	56	+1.23	3.03	108	68
Jeremy Fikac R 2004 · 4.91 FIP	29	SU	4.91	19.6%	8.0%	4.5%	.276	—	—	—	—	—	3.10	136	67
Kaleb Fleck R 2018 · 3.47 FIP	29	SU	3.47	24.6%	5.9%	3.1%	.346	—	—	—	—	—	2.68	177	67
Rob Wooten R 2015 · 4.86 FIP	30	SU	4.86	19.3%	5.5%	4.9%	.299	3.87	17.7%	14.4%	111	-0.99	2.48	253	67
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	67
Austin Adams R 2016 · 3.40 FIP	29	SU	3.40	21.1%	6.1%	2.4%	.376	5.80	20.8%	10.2%	60	+2.40	3.40	162	67
Justin Miller R 2017 · 4.44 FIP	30	SU	4.44	16.9%	4.4%	4.0%	.305	4.88	25.8%	18.8%	81	+0.44	2.63	292	67
Chris Hatcher R 2015 · 2.92 FIP	30	SU	2.92	27.1%	6.6%	2.3%	.292	4.67	22.6%	14.0%	137	+1.75	2.51	246	67
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	66
Cory Wade R 2012 · 4.15 FIP	29	SU	4.15	22.2%	4.1%	4.4%	.322	—	—	—	—	—	3.48	178	65
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	65

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	44	22.9%	6.6%	1.12	4.33
Fernando Salas ('19)	2.4	54	23.1%	7.3%	1.05	3.91
Nick Wittgren ('23)	1.6	41	21.6%	7.0%	1.15	4.04
Charlie Furbush ('15)	1.3	52	24.5%	8.1%	1.04	3.97
Tim Crews ('87-'92, 3 WAR*)	2.1	71	20.8%*	6.2%*	1.09*	4.11*
Tony Castillo ('88-'98, 4 WAR*)	2.6	59	18.5%*	7.3%*	0.98*	3.76*
Donnie Moore ('75-'88, 7 WAR*)	3.3	60	20.7%*	6.6%*	1.00*	3.83*