Ty Langenberg — OGILVIE

Ty Langenberg P Wichita Wind Surge

Age 24 RHP 6'2" / 190 lbs AA Svc 0.0 · Ctrl thru 2033 peak 1.5 · 2028

2026 ROS PROJECTION124 act + 7 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 127119vR 110

ERA4.92

FIP4.92

K%16.1%

BB%11.6%

K-BB%4.5%

ROS IP7

Value2026 · WAR

Runs saved vs league avg · 130 IP

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

Grades · Contract

Scouting Grades

STUF4040

CTRL4040

CMD4040

K†4045

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Pre-Arb	$0.8M	+0.2	$0.6M	+$0.0M
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Arb-1	$1M	—	—	—
2032	Arb-2	$1M	—	—	—
2033	Arb-3	$7M	—	—	—
Totals		$2M		$0.9M	+$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 + 2026 so far)
2023	21	MIX MLE	2 levels	5	0	7	34	5	4	0	0%	1.5	14.7%	11.8%	2.9%	0.0%	3.68	3.35	—
2023	21	MIX MLE	2 levels	5	0	7	34	5	4	0	0%	1.5	14.7%	11.8%	2.9%	0.0%	3.68	3.35	—
2023	21	MIX RAW	2 levels	5	0	7	34	5	4	0	0%	1.5	14.7%	11.8%	2.9%	0.0%	3.68	3.37	—
2024	22	MIX MLE	2 levels	21	20	108	456	116	30	8	95%	5.1	19.2%	7.6%	11.6%	1.9%	3.67	3.49	—
2024	22	MIX MLE	2 levels	21	20	108	456	116	30	8	95%	5.1	19.2%	7.6%	11.6%	1.9%	3.67	3.49	—
2024	22	MIX RAW	2 levels	21	20	108	456	116	30	8	95%	5.1	25.4%	6.6%	18.9%	1.8%	3.67	2.75	—
2025	23	A+ MLE	Cedar Rapids Kernels	22	21	105	465	98	47	4	95%	4.8	16.2%	11.6%	4.6%	1.1%	4.87	3.82	—
2025	23	A+ MLE	Cedar Rapids Kernels	22	21	105	465	98	47	4	95%	4.8	16.2%	11.6%	4.6%	1.1%	4.87	3.82	—
2025	23	A+ RAW	Cedar Rapids Kernels	22	21	105	465	98	47	4	95%	4.8	21.1%	10.1%	11.0%	0.9%	4.87	3.07	—
▸ 2026 season
YTD	24	AAA MLE	St. Paul Saints	33	23	124	525	109	43	12	70%	3.7	16.9%	8.4%	8.5%	2.7%	4.29	4.20	—
YTD	24	AAA MLE	St. Paul Saints	33	23	124	525	109	43	12	70%	3.7	16.9%	8.4%	8.5%	2.7%	4.29	4.20	—
▸ 2026 season — so far · projected rest · full
2026	24	AA RAW	MIN	21	17	86	353	75	27	8	81%	4.1	21.2%	7.6%	13.6%	2.3%	3.65	3.52	—
2026	24	AAA RAW	MIN	12	6	37	172	34	16	4	50%	3.1	19.8%	9.3%	10.5%	2.3%	5.79	3.89	—
ROS	24	MLB MLE	MIN	1	1	7	29	5	3	1	100%	6.8	16.1%	11.6%	4.5%	2.4%	4.92	4.92	-0.0
2026 TOT	24	MLB MLE	MIN	—	—	130	554	114	46	13	—	—	20.5%	8.4%	12.2%	2.3%	4.33	4.23	+1.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	25	MLB MLE	MIN	21	21	123	518	90	56	13	100%	5.8	17.3%	10.9%	6.5%	2.5%	4.79	4.75	+0.2
2028	26	MLB MLE	MIN	20	20	123	518	93	55	13	100%	6.1	17.9%	10.6%	7.3%	2.5%	4.71	4.68	+0.3
2029	27	MLB MLE	MIN	20	20	121	510	92	54	13	100%	6.0	18.1%	10.5%	7.6%	2.6%	4.70	4.70	+0.3
2030	28	MLB MLE	MIN	20	20	117	495	90	52	13	100%	5.9	18.1%	10.6%	7.5%	2.7%	4.74	4.77	+0.2
2031	29	MLB MLE	MIN	19	19	112	472	84	51	13	100%	5.9	17.8%	10.8%	7.0%	2.8%	4.84	4.90	0.0
2032	30	MLB MLE	MIN	18	18	105	444	78	49	14	100%	5.8	17.5%	11.1%	6.4%	3.0%	4.98	5.08	-0.2
2027	25	MLB CTX	MIN	9	9	54	228	39	25	6	100%	6.0	17.3%	10.9%	6.5%	2.5%	4.80	4.76	+0.1
2028	26	MLB CTX	MIN	14	14	82	346	62	37	9	100%	5.9	17.9%	10.6%	7.3%	2.5%	4.72	4.69	+0.2
2029	27	MLB CTX	MIN	16	16	94	397	72	42	10	100%	5.9	18.1%	10.5%	7.6%	2.6%	4.71	4.71	+0.2
2030	28	MLB CTX	MIN	16	16	99	418	76	44	11	100%	6.2	18.1%	10.6%	7.5%	2.7%	4.75	4.78	+0.1
2031	29	MLB CTX	MIN	16	16	98	414	74	45	12	100%	6.1	17.8%	10.8%	7.0%	2.9%	4.85	4.91	0.0
2032	30	MLB CTX	MIN	16	16	95	401	70	45	12	100%	5.9	17.5%	11.1%	6.4%	3.1%	4.99	5.09	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		87	87	521	2200	393	236	60	100%	6.0	17.8%	10.7%	7.1%	2.7%	4.80	4.45	+2.7
/ 200 IP	—	RAW		33	33	200	844	151	91	23	100%	6.0	17.8%	10.7%	7.1%	2.7%	4.80	4.45	+1.0
Career	—	MLE		81	64	344	1480	257	137	28	79%	4.3	17.4%	9.3%	8.1%	1.9%	4.26	3.84	+0.8
/ 200 IP	—	MLE		47	37	200	860	149	80	16	79%	4.3	17.4%	9.3%	8.1%	1.9%	4.26	3.84	+0.2

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
Ty Langenberg (OGILVIE)	—	—	4.92	16.1%	11.6%	2.4%	—	4.71	17.8%	7.1%	366	-0.21	—	—	—
Stolmy Pimentel R 2015 · 4.47 FIP	25	SP-	4.47	16.0%	10.5%	2.5%	.338	3.87	13.6%	3.1%	72	-0.60	3.87	143	89
Nick Hull R 2023 · 4.26 FIP	23	SP-	4.26	17.2%	12.1%	2.0%	.251	4.84	17.7%	6.3%	200	+0.58	4.26	292	88
Chris McElvain R 2023 · 4.76 FIP	22	SP	4.76	15.8%	11.6%	2.8%	.275	5.24	15.8%	4.7%	198	+0.48	4.07	294	88
Johnathan Harmon R 2023 · 4.30 FIP	22	SP-	4.30	17.8%	10.2%	2.6%	.293	5.14	15.1%	6.3%	193	+0.84	3.52	282	86
Bradley Brehmer R 2023 · 4.43 FIP	23	SP	4.43	14.6%	9.5%	2.5%	.349	3.27	20.0%	11.5%	94	-1.16	2.83	165	86
David Lebron R 2019 · 4.28 FIP	25	SP-	4.28	18.6%	14.2%	1.7%	.336	5.56	26.7%	12.0%	62	+1.28	4.28	144	85
Tyler Uberstine R 2022 · 4.19 FIP	23	SP-	4.19	19.5%	10.5%	2.6%	.302	4.32	22.2%	14.8%	121	+0.13	3.16	258	85
Drew McDaniel R 2023 · 4.71 FIP	22	SP	4.71	14.1%	9.1%	3.0%	.323	5.08	18.7%	8.7%	152	+0.37	4.24	230	85
Cameron Foster R 2023 · 4.31 FIP	24	SP	4.31	18.9%	10.3%	2.7%	.329	4.05	20.9%	10.9%	132	-0.26	2.54	213	85
Trenton Toplikar R 2019 · 4.32 FIP	23	SP-	4.32	14.8%	10.1%	2.2%	.248	5.39	16.5%	6.4%	123	+1.07	4.32	232	85
Carlos Sano R 2018 · 4.82 FIP	25	SP-	4.82	17.6%	11.2%	3.3%	.282	9.22	19.7%	7.1%	18	+4.40	4.82	105	84
Paxton Schultz R 2022 · 5.27 FIP	24	SP-	5.27	17.5%	12.2%	3.8%	.293	4.36	21.3%	11.3%	274	-0.91	3.90	538	84
Dylan Burns R 2022 · 4.21 FIP	25	SP	4.21	17.1%	10.8%	2.2%	.300	4.87	11.6%	-2.4%	41	+0.66	4.21	120	83
Garrett Burhenn R 2023 · 4.39 FIP	23	SP-	4.39	13.5%	8.4%	2.5%	.312	4.36	18.1%	10.2%	247	-0.03	4.30	433	83
J.P. France R 2019 · 5.32 FIP	24	SP-	5.32	17.9%	13.9%	3.6%	.285	4.24	26.3%	15.2%	225	-1.08	4.04	577	83
Brett Daniels R 2019 · 3.95 FIP	23	SP-	3.95	18.5%	12.1%	1.6%	.266	4.46	21.4%	7.9%	152	+0.51	3.95	270	83
Jarred Cosart R 2015 · 5.07 FIP	25	SP	5.07	15.2%	10.8%	3.4%	.274	4.94	13.1%	-0.5%	132	-0.13	4.10	218	82
Alejandro Martinez R 2015 · 4.46 FIP	26	SP-	4.46	17.5%	10.9%	2.7%	.393	4.24	9.2%	3.9%	53	-0.22	4.24	166	82
Cameron Wagoner R 2023 · 4.10 FIP	22	SP	4.10	14.8%	9.6%	1.9%	.326	2.86	27.7%	21.2%	39	-1.24	2.86	139	82
Jack Noble R 2023 · 4.42 FIP	23	SP	4.42	16.5%	13.1%	1.9%	.258	6.03	20.3%	8.2%	58	+1.61	4.42	125	81

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	3.9	111	17.6%	10.8%	1.03	4.80
Aaron Sanchez ('22)	3.3	93	18.1%	10.0%	0.98	4.32
Dakota Hudson ('24)	2.8	92	15.0%	11.1%	0.91	4.25
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Steven Brault ('21)	1.7	57	18.8%	11.3%	1.00	4.77
Luis Perdomo ('22)	2.3	90	16.6%	7.8%	1.08	5.09