Wande Torres

P Wisconsin Timber Rattlers

Age 22 LHP 6'3" / 190 lbs A+ Svc 0.0 · Ctrl thru 2035 peak 1.1 · 2029

Overview

A+PROSPECTMiLBFA 2036

OGV OFP40OGV rank#233ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKDSL Brewers 1	8	7	16	1.72	0.04	53.2%	9.7%	—	K 36.2% · BB 12.1% · FIP 1.58
2025	20	ACarolina Mudc…	23	23	86	4.81	2.83	22.7%	9.6%	—	K 16.8% · BB 11.4% · FIP 3.59
2026	21	MIX2 levels	26	18	122	4.41	3.48	24.4%	10.3%	—	K 19.4% · BB 11.7% · FIP 4.32
2027PROJ	22	MLBMIL	—	—	0	4.87	4.87	19.4%	12.1%	—
2028PROJ49% MLB	23	MLBMIL	8	8	45	4.75	4.67	20.5%	10.8%	0.4
2029PROJ70% MLB	24	MLBMIL	11	11	64	4.59	4.51	21.1%	10.0%	0.7

Next 3 projected WAR 1.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$2M2034Arb-2$2M+1

Career WAR0.0 WAR median (P10 -0.6 / P90 12, comp-based) · star 2% · didn't stick 82%

CompsRylan Kaufman (age 22) · John Beller (age 22) · Dominic Perachi (age 22)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 109118vR 126

ERA4.87

FIP4.87

K%19.4%

BB%12.1%

K-BB%7.2%

Proj IP80

Value2027 · WAR

Runs saved vs league avg · 80 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$35M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2031	Pre-Arb	$0.9M	+0.9	$3M	+$2M
2032	Pre-Arb	$0.9M	+0.9	$2M	+$2M
2033	Arb-1	$2M	+0.8	$2M	+$1M
2034	Arb-2	$2M	+0.6	$1M	+$0.3M
2035	Arb-3	$2M	+0.4	$0.9M	+$0.0M (cut)
Totals		$7M		$12M	+$7M

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)
2022	17	ROK MLE	DSL Brewers 1	11	11	40	183	45	33	1	100%	3.7	16.7%	22.5%	-5.8%	0.7%	3.79	4.92	—
2022	17	ROK RAW	DSL Brewers 1	11	11	40	183	45	33	1	100%	3.7	24.6%	18.0%	6.6%	0.5%	3.79	3.65	—
2024	19	ROK MLE	DSL Brewers 1	8	7	16	62	33	6	0	88%	2.0	36.2%	12.1%	24.1%	0.0%	1.72	1.58	—
2024	19	ROK MLE	DSL Brewers 1	8	7	16	62	33	6	0	88%	2.0	36.2%	12.1%	24.1%	0.0%	1.72	1.58	—
2024	19	ROK RAW	DSL Brewers 1	8	7	16	62	33	6	0	88%	2.0	53.2%	9.7%	43.5%	0.0%	1.72	0.04	—
2025	20	A MLE	Carolina Mudcats	23	23	86	374	85	36	3	100%	3.7	16.8%	11.4%	5.5%	0.9%	4.81	3.59	—
2025	20	A MLE	Carolina Mudcats	23	23	86	374	85	36	3	100%	3.7	16.8%	11.4%	5.5%	0.9%	4.81	3.59	—
2025	20	A RAW	Carolina Mudcats	23	23	86	374	85	36	3	100%	3.7	22.7%	9.6%	13.1%	0.8%	4.81	2.83	—
2026	21	MIX MLE	2 levels	26	18	122	536	131	55	11	69%	4.7	19.4%	11.7%	7.7%	2.5%	4.41	4.32	—
2026	21	MIX MLE	2 levels	26	18	122	536	131	55	11	69%	4.7	19.4%	11.7%	7.7%	2.5%	4.41	4.32	—
2026	21	MIX RAW	2 levels	26	18	122	536	131	55	11	69%	4.7	24.4%	10.3%	14.2%	2.1%	4.41	3.48	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	MIL	—	—	0	—	—	—	—	—	—	19.4%	12.1%	7.2%	2.7%	4.87	4.87	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	MIL	17	17	91	384	79	42	10	100%	5.3	20.5%	10.8%	9.7%	2.7%	4.68	4.60	+0.8
2029	24	MLB MLE	MIL	16	16	91	384	81	39	10	100%	5.7	21.1%	10.0%	11.1%	2.7%	4.52	4.44	+1.0
2030	25	MLB MLE	MIL	14	14	82	346	75	33	9	100%	5.9	21.6%	9.6%	12.0%	2.7%	4.41	4.35	+1.0
2031	26	MLB MLE	MIL	14	14	82	344	75	33	9	100%	5.8	21.8%	9.5%	12.3%	2.7%	4.35	4.32	+1.0
2032	27	MLB MLE	MIL	13	13	79	335	73	32	9	100%	6.1	21.8%	9.6%	12.2%	2.7%	4.36	4.36	+1.0
2033	28	MLB MLE	MIL	13	13	76	319	69	31	9	100%	5.8	21.6%	9.7%	11.9%	2.8%	4.41	4.44	+0.8
2034	29	MLB MLE	MIL	12	12	70	296	63	29	9	100%	5.9	21.4%	9.9%	11.5%	3.0%	4.51	4.57	+0.7
2035	30	MLB MLE	MIL	11	11	64	269	57	28	9	100%	5.8	21.0%	10.2%	10.8%	3.2%	4.66	4.75	+0.5
2036	31	MLB MLE	MIL	10	10	57	241	50	26	8	100%	5.7	20.6%	10.6%	10.1%	3.4%	4.84	4.95	+0.3
2028	23	MLB CTX	MIL	8	8	45	190	39	21	5	100%	5.6	20.5%	10.8%	9.7%	2.8%	4.75	4.67	+0.4
2029	24	MLB CTX	MIL	11	11	64	270	57	27	8	100%	5.8	21.1%	10.0%	11.1%	2.8%	4.59	4.51	+0.7
2030	25	MLB CTX	MIL	11	11	67	283	61	27	8	100%	6.1	21.6%	9.6%	12.0%	2.8%	4.48	4.42	+0.8
2031	26	MLB CTX	MIL	12	12	71	300	65	28	8	100%	5.9	21.8%	9.5%	12.3%	2.8%	4.42	4.39	+0.9
2032	27	MLB CTX	MIL	12	12	72	304	66	29	9	100%	6.0	21.8%	9.6%	12.2%	2.9%	4.44	4.44	+0.9
2033	28	MLB CTX	MIL	12	12	70	296	64	29	9	100%	5.8	21.6%	9.7%	11.9%	3.0%	4.49	4.52	+0.8
2034	29	MLB CTX	MIL	11	11	65	274	59	27	9	100%	5.9	21.4%	9.9%	11.5%	3.1%	4.59	4.65	+0.6
2035	30	MLB CTX	MIL	10	10	60	253	53	26	8	100%	6.0	21.0%	10.2%	10.8%	3.4%	4.75	4.84	+0.4
2036	31	MLB CTX	MIL	9	9	54	228	47	24	8	100%	6.0	20.6%	10.6%	10.1%	3.6%	4.93	5.04	+0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		96	96	567	2393	510	238	72	100%	5.9	21.3%	9.9%	11.4%	3.0%	4.59	4.21	+7.9
/ 200 IP	—	RAW		34	34	200	844	180	84	25	100%	5.9	21.3%	9.9%	11.4%	3.0%	4.59	4.21	+2.8
Career	—	MLE		68	59	264	1155	220	154	18	87%	3.9	19.0%	13.3%	5.7%	1.5%	4.29	4.03	+7.2
/ 200 IP	—	MLE		51	45	200	874	166	117	14	87%	3.9	19.0%	13.3%	5.7%	1.5%	4.29	4.03	+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 A+Wisconsin Timber Rattlers · 115 IPFIP 3.36 → 4.32 (+0.96)K% 25.2% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.20%	—	×0.770	19.40%
BB% (unintentional) /BF	10.20%	—	×1.150	11.73%
HR / BF /BF	2.00%	÷1.000	×1.250	2.50%

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 100).

Result: FIP 3.36 → 4.32, 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).

2026 AABiloxi Shuckers · 7 IPFIP 4.86 → 5.53 (+0.67)K% 13.9% → 11.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.89%	—	×0.810	11.25%
BB% (unintentional) /BF	11.11%	—	×1.100	12.22%
HR / BF /BF	2.78%	÷1.000	×1.200	3.33%

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 100).

Result: FIP 4.86 → 5.53, 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 ACarolina Mudcats · 86 IPFIP 2.84 → 3.59 (+0.75)K% 22.7% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.73%	—	×0.740	16.82%
BB% (unintentional) /BF	9.63%	—	×1.180	11.36%
HR / BF /BF	0.80%	÷1.214	×1.300	0.86%

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 143).

Result: FIP 2.84 → 3.59, 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 ROKDSL Brewers 1 · 16 IPFIP -0.17 → 1.58 (+1.74)K% 53.2% → 36.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	53.23%	—	×0.680	36.19%
BB% (unintentional) /BF	9.68%	—	×1.250	12.10%
HR / BF /BF	0.00%	÷1.098	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 120).

Result: FIP -0.17 → 1.58, 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).

2022 ROKDSL Brewers 1 · 40 IPFIP 3.61 → 4.92 (+1.31)K% 24.6% → 16.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.59%	—	×0.680	16.72%
BB% (unintentional) /BF	18.03%	—	×1.250	22.54%
HR / BF /BF	0.55%	÷1.116	×1.400	0.69%

Result: FIP 3.61 → 4.92, 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
Wande Torres (OGILVIE)	—	—	—	—	—	2.7%	—	4.47	21.0%	10.9%	264	-0.40	—	—	—
Rylan Kaufman L 2021 · 4.60 FIP	22	SP	4.60	19.3%	12.1%	2.9%	.305	4.75	18.9%	4.5%	131	+0.15	4.01	212	92
John Beller L 2021 · 4.48 FIP	22	SP	4.48	19.7%	14.1%	2.3%	.326	4.35	22.2%	7.1%	90	-0.13	4.16	170	90
Dominic Perachi L 2023 · 5.19 FIP	22	SP-	5.19	17.5%	13.9%	3.3%	.324	3.80	17.1%	6.8%	186	-1.39	3.33	277	88
Hayden Mullins L 2024 · 4.39 FIP	23	SP-	4.39	23.4%	12.4%	3.1%	.288	3.69	25.5%	11.8%	194	-0.70	3.54	283	86
Christian MacLeod L 2023 · 4.52 FIP	23	SP	4.52	16.4%	10.5%	2.7%	.312	4.61	19.4%	5.0%	215	+0.09	3.88	280	86
Evan Shawver L 2022 · 4.32 FIP	22	SP	4.32	18.8%	10.6%	2.7%	.289	4.73	18.0%	4.0%	152	+0.41	3.79	281	86
Tate Kuehner L 2024 · 4.08 FIP	23	SP	4.08	20.5%	13.9%	1.7%	.275	3.85	20.3%	7.9%	164	-0.23	3.83	268	86
Nate Peterson L 2023 · 4.46 FIP	23	SP-	4.46	18.4%	11.4%	2.7%	.284	5.04	17.2%	5.3%	241	+0.58	4.27	315	85
Ixan Henderson L 2024 · 3.77 FIP	22	SP-	3.77	18.1%	11.1%	1.5%	.280	3.27	20.4%	9.9%	132	-0.50	3.27	236	85
Brandon Knarr L 2021 · 4.86 FIP	23	SP	4.86	22.6%	13.6%	3.5%	.299	4.15	19.9%	10.8%	158	-0.71	4.08	256	84
Dylan Carmouche L 2024 · 4.35 FIP	22	SP	4.35	19.0%	11.6%	2.5%	.332	5.21	16.7%	6.8%	116	+0.86	4.35	239	84
Adam Tulloch L 2023 · 4.51 FIP	23	SP-	4.51	20.3%	14.1%	2.4%	.313	4.62	18.1%	1.5%	150	+0.11	4.24	246	84
Cole Ragans L 2021 · 5.14 FIP	23	SP	5.14	20.2%	11.2%	4.2%	.296	3.34	26.8%	17.5%	445	-1.80	2.48	623	84
Keegan Akin L 2017 · 4.55 FIP	22	SP	4.55	20.2%	12.5%	2.9%	.303	4.23	22.2%	10.7%	276	-0.32	2.62	743	84
Travis Ott L 2017 · 3.82 FIP	22	SP-	3.82	20.9%	12.3%	1.7%	.253	3.67	24.7%	14.4%	70	-0.15	3.67	188	84
Bryan Radziewski L 2015 · 4.15 FIP	23	SP-	4.15	16.4%	10.5%	2.0%	.280	—	—	—	—	—	4.15	106	83
Andrew Sears L 2024 · 4.25 FIP	21	SP	4.25	19.6%	15.4%	1.6%	.248	4.06	19.9%	11.0%	177	-0.19	3.71	266	83
Matt Mikulski L 2022 · 4.92 FIP	23	SP-	4.92	19.4%	10.0%	4.0%	.360	6.03	16.3%	-2.8%	144	+1.11	4.92	223	83
Joe Whitman L 2024 · 3.89 FIP	22	SP	3.89	18.6%	9.9%	2.0%	.303	3.65	19.8%	11.7%	252	-0.24	3.51	355	83
Brian Holmes L 2015 · 4.32 FIP	24	SP-	4.32	21.0%	9.9%	3.2%	.333	4.78	17.3%	8.0%	104	+0.46	3.60	205	83

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	3.9	77	21.1%	10.2%	1.10	4.55
Manny Parra ('15)	3.1	78	20.8%	10.6%	1.00	4.90
Dave Hamilton ('72-'80, 2 WAR*)	3.5	78	21.3%*	10.2%*	1.13*	4.58*
Jay Witasick ('07)	3.7	73	19.6%	11.0%	1.19	4.64
Chris Stratton ('25)	3.1	69	21.0%	9.5%	1.02	4.64
Jim Ray ('65-'74, 2 WAR*)	3.1	88	20.5%*	10.4%*	1.14*	4.38*
Pete Mikkelsen ('64-'72, 1 WAR*)	3.3	73	20.1%*	9.3%*	1.12*	4.15*