Wande Torres — OGILVIE

Wande Torres P Wisconsin Timber Rattlers

Age 21 LHP 6'3" / 190 lbs A+ Svc 0.0 · Ctrl thru 2034 peak 2.2 · 2030

2026 ROS PROJECTION122 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 113121vR 129

ERA5.07

FIP5.07

K%17.0%

BB%12.6%

K-BB%4.4%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 127 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$18M ctrl surplus

Grades · Contract

Scouting Grades

STUF4040

CTRL4040

CMD4040

K†4050

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Arb-1	$3M	+0.7	$2M	+$0.1M
2033	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2034	Arb-3	$5M	+0.4	$0.9M	+$0.0M (cut)
Totals		$6M		$10M	+$5M

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 + 2026 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 season
YTD	21	AA MLE	Biloxi Shuckers	26	18	122	536	131	55	11	69%	4.7	19.4%	11.7%	7.7%	2.5%	4.41	4.32	—
YTD	21	AA MLE	Biloxi Shuckers	26	18	122	536	131	55	11	69%	4.7	19.4%	11.7%	7.7%	2.5%	4.41	4.32	—
▸ 2026 season — so far · projected rest · full
2026	21	A+ RAW	MIL	24	18	115	500	126	51	10	75%	4.8	25.2%	10.2%	15.0%	2.0%	4.15	3.36	—
2026	21	AA RAW	MIL	2	0	7	36	5	4	1	0%	3.6	13.9%	11.1%	2.8%	2.8%	8.59	4.86	—
ROS	21	MLB MLE	MIL	1	1	5	21	4	3	1	100%	5.1	17.0%	12.6%	4.4%	2.6%	5.07	5.07	-0.0
2026 TOT	21	MLB MLE	MIL	—	—	127	557	135	58	12	—	—	24.2%	10.4%	13.8%	2.1%	4.44	4.35	+0.8
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	22	MLB MLE	MIL	25	25	126	531	98	60	14	100%	5.0	18.5%	11.3%	7.2%	2.6%	4.86	4.77	+0.2
2028	23	MLB MLE	MIL	24	24	130	551	107	58	14	100%	5.4	19.5%	10.5%	8.9%	2.6%	4.68	4.58	+0.5
2029	24	MLB MLE	MIL	24	24	134	565	114	57	14	100%	5.6	20.2%	10.1%	10.0%	2.6%	4.55	4.47	+0.7
2030	25	MLB MLE	MIL	23	23	136	572	118	57	15	100%	5.9	20.6%	9.9%	10.7%	2.6%	4.46	4.40	+0.8
2031	26	MLB MLE	MIL	23	23	136	572	119	56	15	100%	5.9	20.8%	9.9%	10.9%	2.6%	4.41	4.38	+0.8
2032	27	MLB MLE	MIL	22	22	134	564	117	56	15	100%	6.1	20.8%	9.9%	10.8%	2.6%	4.41	4.42	+0.7
2033	28	MLB MLE	MIL	22	22	130	547	113	55	15	100%	5.9	20.6%	10.1%	10.5%	2.7%	4.46	4.50	+0.6
2034	29	MLB MLE	MIL	21	21	124	522	107	54	15	100%	5.9	20.4%	10.3%	10.1%	2.9%	4.56	4.63	+0.4
2035	30	MLB MLE	MIL	19	19	116	491	98	52	15	100%	6.1	20.1%	10.6%	9.4%	3.1%	4.71	4.81	+0.1
2036	31	MLB MLE	MIL	18	18	108	458	90	50	15	100%	6.0	19.7%	11.0%	8.7%	3.3%	4.89	5.01	-0.1
2027	22	MLB CTX	MIL	12	12	62	262	48	30	7	100%	5.2	18.5%	11.3%	7.2%	2.7%	4.93	4.84	+0.1
2028	23	MLB CTX	MIL	18	18	95	401	78	42	11	100%	5.3	19.5%	10.5%	8.9%	2.7%	4.75	4.65	+0.4
2029	24	MLB CTX	MIL	20	20	111	469	94	47	13	100%	5.5	20.2%	10.1%	10.0%	2.7%	4.62	4.54	+0.6
2030	25	MLB CTX	MIL	21	21	120	507	104	50	14	100%	5.7	20.6%	9.9%	10.7%	2.7%	4.53	4.47	+0.7
2031	26	MLB CTX	MIL	21	21	124	524	109	52	14	100%	5.9	20.8%	9.9%	10.9%	2.7%	4.48	4.45	+0.8
2032	27	MLB CTX	MIL	21	21	124	524	109	52	14	100%	5.9	20.8%	9.9%	10.8%	2.7%	4.48	4.49	+0.7
2033	28	MLB CTX	MIL	20	20	121	511	105	52	15	100%	6.0	20.6%	10.1%	10.5%	2.8%	4.53	4.57	+0.6
2034	29	MLB CTX	MIL	20	20	118	498	102	51	15	100%	5.9	20.4%	10.3%	10.1%	3.0%	4.64	4.71	+0.4
2035	30	MLB CTX	MIL	18	18	110	464	93	49	15	100%	6.1	20.1%	10.6%	9.4%	3.2%	4.79	4.89	+0.1
2036	31	MLB CTX	MIL	17	17	103	435	85	48	15	100%	6.1	19.7%	11.0%	8.7%	3.4%	4.98	5.10	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		187	187	1088	4593	928	473	132	100%	5.8	20.2%	10.3%	9.9%	2.9%	4.65	4.27	+8.0
/ 200 IP	—	RAW		34	34	200	844	171	87	24	100%	5.8	20.2%	10.3%	9.9%	2.9%	4.65	4.27	+1.5
Career	—	MLE		68	59	264	1155	220	154	18	87%	3.9	19.0%	13.3%	5.7%	1.5%	4.29	4.03	+4.7
/ 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	+0.7

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)	—	—	5.07	17.0%	12.6%	2.6%	—	4.60	19.4%	8.7%	390	-0.47	—	—	—
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	87
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	87
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	86
Frankeli Arias L 2023 · 4.27 FIP	20	SP-	4.27	15.0%	12.2%	1.6%	.318	5.53	16.1%	3.0%	196	+1.26	3.87	298	86
Christian MacLeod L 2023 · 4.52 FIP	23	SP	4.52	16.4%	10.5%	2.7%	.312	4.60	19.5%	5.2%	212	+0.08	3.90	277	86
Jackson Humphries L 2023 · 4.48 FIP	19	SP	4.48	19.8%	14.0%	2.3%	.302	5.94	20.8%	1.5%	248	+1.46	4.48	305	85
Packy Naughton L 2017 · 4.45 FIP	21	SP	4.45	17.0%	9.9%	2.8%	.323	3.62	15.9%	10.0%	311	-0.83	3.04	504	84
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	3.92	278	84
Matt Imhof L 2015 · 5.13 FIP	21	SP	5.13	13.6%	13.5%	2.7%	.282	5.68	15.9%	-5.4%	53	+0.55	5.13	131	83
Wilkin Paredes L 2023 · 4.11 FIP	19	SP	4.11	16.2%	9.1%	2.2%	.353	4.96	12.1%	3.3%	273	+0.85	4.11	319	81
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	81
Juliandry Higuera L 2016 · 5.33 FIP	21	SP	5.33	12.2%	12.4%	3.1%	.297	4.25	16.9%	5.2%	87	-1.08	3.87	197	81
Matt Tenuta L 2015 · 4.96 FIP	21	SP	4.96	12.0%	9.5%	3.0%	.294	4.47	15.2%	6.4%	278	-0.49	2.85	421	81
Daniel McGrath L 2015 · 4.68 FIP	21	SP	4.68	15.2%	11.9%	2.5%	.269	4.75	14.8%	2.8%	277	+0.07	3.52	474	81
Yeffersson Yannuzzi L 2018 · 4.56 FIP	21	SP-	4.56	18.4%	12.1%	2.7%	.295	6.73	12.6%	-24.4%	10	+2.17	4.56	137	80
Brendon Little L 2018 · 4.70 FIP	21	SP	4.70	14.7%	11.2%	2.6%	.313	3.83	21.0%	8.9%	90	-0.87	2.63	503	80
Ryan Lawlor L 2015 · 4.17 FIP	21	SP	4.17	14.8%	13.0%	1.2%	.286	3.24	20.1%	8.1%	107	-0.93	2.24	201	80
Russell Smith L 2022 · 5.14 FIP	23	SP	5.14	16.0%	10.4%	3.8%	.272	4.64	21.2%	7.8%	107	-0.50	4.00	175	80
Jeremy Wu-Yelland L 2021 · 4.44 FIP	22	SP	4.44	19.6%	14.6%	2.1%	.266	3.90	20.3%	3.7%	33	-0.54	2.93	175	80
Avery Short L 2022 · 4.82 FIP	21	SP-	4.82	20.1%	11.4%	3.6%	.346	4.72	15.0%	6.4%	271	-0.10	4.20	485	80

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	6.7	121	20.0%	10.4%	1.05	4.61
Zach Davies ('23)	5.2	116	17.5%	8.1%	1.16	4.36
Jon Gray ('24)	6.1	122	23.4%	7.8%	1.15	4.45
Aaron Sanchez ('22)	3.3	93	18.1%	10.0%	0.98	4.32
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Alex Wood ('24)	5.0	111	21.6%	7.0%	0.96	3.98
Carlos Martinez ('21)	4.2	121	22.7%	9.1%	0.81	3.67