Cale Wetwiska

P Lakeland Flying Tigers

Age 22 RHP 6'2" / 190 lbs A Svc 0.0 · Ctrl thru 2036 peak 0.4 · 2028

Overview

APROSPECTMiLBFA 2037

OGV OFP35OGV rank#1327ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ADET	2	2	4	6.75	4.10	19.0%	19.0%	—	K 19.0% · BB 19.0% · FIP 3.90
2026	21	MIX3 levels	14	11	46	2.74	3.21	26.7%	9.7%	—	K 20.3% · BB 12.4% · FIP 4.21
2027PROJ	22	MLBDET	—	—	0	4.81	4.81	21.0%	11.7%	—
2028PROJ35% MLB	23	MLBDET	3	3	16	4.57	4.49	21.9%	10.6%	0.2
2029PROJ54% MLB	24	MLBDET	4	4	24	4.42	4.34	22.6%	9.9%	0.3

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

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.9M2032Ext$0.9M2033Ext$0.9M2034Ext$3M+2

Career WAR0.0 WAR median (P10 -0.1 / P90 2.8, comp-based) · star 1% · didn't stick 89%

CompsChad Donato (age 22) · Ryan Atkinson (age 23) · Tanner Hall (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125116vR 108

ERA4.81

FIP4.81

K%21.0%

BB%11.7%

K-BB%9.2%

Proj IP45

Value2027 · WAR

Runs saved vs league avg · 45 IP

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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 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)
2025	20	A MLE	Lakeland Flying Tigers	2	2	4	21	4	4	0	100%	2.0	19.0%	19.0%	0.0%	0.0%	6.75	3.90	—
2025	20	A MLE	Lakeland Flying Tigers	2	2	4	21	4	4	0	100%	2.0	19.0%	19.0%	0.0%	0.0%	6.75	3.90	—
2025	20	A RAW	Lakeland Flying Tigers	2	2	4	21	4	4	0	100%	2.0	19.0%	19.0%	0.0%	0.0%	6.75	4.10	—
2026	21	MIX MLE	3 levels	14	11	46	195	52	19	4	79%	3.3	20.3%	12.4%	7.9%	2.3%	2.74	4.21	—
2026	21	MIX MLE	3 levels	14	11	46	195	52	19	4	79%	3.3	20.3%	12.4%	7.9%	2.3%	2.74	4.21	—
2026	21	MIX RAW	3 levels	14	11	46	195	52	19	4	79%	3.3	26.7%	9.7%	16.9%	2.1%	2.74	3.21	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	DET	—	—	0	—	—	—	—	—	—	21.0%	11.7%	9.2%	2.9%	4.81	4.81	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	DET	8	8	45	188	41	20	5	100%	5.6	21.9%	10.6%	11.3%	2.9%	4.64	4.56	+0.4
2029	24	MLB MLE	DET	8	8	45	188	43	19	5	100%	5.6	22.6%	9.9%	12.7%	2.9%	4.49	4.41	+0.5
2030	25	MLB MLE	DET	7	7	40	169	39	16	5	100%	5.7	23.0%	9.5%	13.5%	2.9%	4.38	4.31	+0.5
2031	26	MLB MLE	DET	7	7	40	170	40	16	5	100%	5.8	23.2%	9.5%	13.8%	2.9%	4.33	4.29	+0.5
2032	27	MLB MLE	DET	7	7	39	166	39	16	5	100%	5.6	23.2%	9.5%	13.7%	2.9%	4.33	4.33	+0.5
2028	23	MLB CTX	DET	3	3	16	68	15	7	2	100%	5.3	21.9%	10.6%	11.3%	2.8%	4.57	4.49	+0.2
2029	24	MLB CTX	DET	4	4	24	101	23	10	3	100%	6.0	22.6%	9.9%	12.7%	2.8%	4.42	4.34	+0.3
2030	25	MLB CTX	DET	5	5	27	114	26	11	3	100%	5.4	23.0%	9.5%	13.5%	2.7%	4.31	4.24	+0.3
2031	26	MLB CTX	DET	5	5	31	131	30	12	4	100%	6.2	23.2%	9.5%	13.8%	2.7%	4.26	4.22	+0.4
2032	27	MLB CTX	DET	5	5	32	135	31	13	4	100%	6.4	23.2%	9.5%	13.7%	2.8%	4.26	4.26	+0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		22	22	129	546	125	53	15	100%	5.9	22.9%	9.7%	13.2%	2.8%	4.34	3.91	+2.3
/ 200 IP	—	RAW		34	34	200	844	193	82	23	100%	5.8	22.9%	9.7%	13.2%	2.8%	4.34	3.91	+3.6
Career	—	MLE		16	13	50	216	44	28	4	81%	3.1	20.2%	13.1%	7.1%	2.1%	3.06	4.18	+2.5
/ 200 IP	—	MLE		64	52	200	864	175	113	18	81%	3.1	20.2%	13.1%	7.1%	2.1%	3.06	4.18	+2.4

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 ALakeland Flying Tigers · 41 IPFIP 3.08 → 4.21 (+1.13)K% 27.5% → 20.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.49%	—	×0.740	20.34%
BB% (unintentional) /BF	10.53%	—	×1.180	12.42%
HR / BF /BF	1.75%	÷1.000	×1.300	2.28%

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 100).

Result: FIP 3.08 → 4.21, 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).

2025 ALakeland Flying Tigers · 4 IPFIP 3.90 → 4.76 (+0.85)K% 19.0% → 14.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.05%	—	×0.740	14.10%
BB% (unintentional) /BF	19.05%	—	×1.180	22.48%
HR / BF /BF	0.00%	÷0.864	×1.300	0.00%

Result: FIP 3.90 → 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
Cale Wetwiska (OGILVIE)	—	—	—	—	—	2.9%	—	4.43	22.5%	12.5%	129	-0.38	—	—	—
Chad Donato R 2017 · 3.85 FIP	22	SP-	3.85	20.9%	11.4%	2.0%	.333	3.99	21.4%	12.6%	184	+0.14	2.89	439	90
Ryan Atkinson R 2016 · 4.58 FIP	23	SP-	4.58	18.4%	11.3%	2.9%	.315	4.48	21.6%	9.0%	305	-0.10	4.14	338	88
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	87
Noah Denoyer R 2021 · 4.51 FIP	23	SP-	4.51	21.5%	12.1%	3.1%	.275	4.10	25.7%	15.7%	121	-0.41	3.26	181	87
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	84
Jared Karros R 2023 · 4.77 FIP	22	SP	4.77	19.0%	8.9%	3.9%	.290	5.26	17.8%	8.3%	120	+0.49	3.36	191	83
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	83
Michael Knorr R 2023 · 4.30 FIP	23	SP-	4.30	23.6%	11.1%	3.3%	.312	5.15	22.0%	9.5%	123	+0.85	4.30	181	83
Levi Wells R 2024 · 4.35 FIP	22	SP	4.35	20.0%	12.1%	2.6%	.360	3.82	19.0%	10.2%	132	-0.53	3.70	192	82
Christian Roa R 2021 · 4.94 FIP	22	SP	4.94	19.6%	12.4%	3.5%	.321	4.90	22.5%	6.9%	260	-0.04	4.14	414	82
Darren Bowen R 2023 · 3.82 FIP	22	SP-	3.82	19.0%	12.8%	1.3%	.236	5.41	15.1%	4.2%	223	+1.59	3.82	278	82
Ryan Harvey R 2023 · 5.20 FIP	22	SP	5.20	16.7%	13.1%	3.4%	.294	4.50	17.0%	5.9%	87	-0.70	4.08	133	82
Mac Sceroler R 2017 · 4.46 FIP	22	SP-	4.46	17.6%	11.8%	2.5%	.318	4.34	18.4%	10.3%	200	-0.12	3.95	275	82
Chris Campos R 2023 · 4.91 FIP	22	SP-	4.91	21.0%	11.8%	3.8%	.364	4.57	18.6%	11.6%	249	-0.34	4.54	318	82
Brandon Young R 2021 · 4.13 FIP	22	SP	4.13	24.5%	12.3%	2.8%	.297	3.48	22.2%	14.6%	150	-0.65	3.03	492	81
Nick Garcia R 2021 · 4.59 FIP	22	SP-	4.59	18.3%	12.3%	2.7%	.274	5.03	17.3%	6.2%	265	+0.44	3.20	411	81
James Proctor R 2021 · 3.99 FIP	23	SP	3.99	22.0%	15.2%	1.5%	.277	4.39	14.0%	1.5%	48	+0.40	3.99	109	81
Andrew Quezada R 2021 · 4.40 FIP	24	SP-	4.40	18.1%	8.1%	3.3%	.312	4.86	14.6%	6.1%	291	+0.46	4.40	412	81
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.71	16.1%	6.1%	316	+0.16	3.97	371	80
Drew Rasmussen R 2019 · 3.64 FIP	24	SP-	3.64	24.6%	12.6%	1.9%	.312	3.21	22.7%	16.2%	237	-0.43	1.21	694	80

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	1.3	42	22.5%	10.2%	1.12	4.51
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Jacob Barnes ('25)	1.7	48	22.0%	9.2%	1.15	4.79
Wesley Wright ('15)	1.5	51	22.0%	10.1%	1.11	4.16
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*
Bob Allen ('61-'67, -1 WAR*)	1.4	55	21.4%*	10.4%*	0.89*	4.79*