Tyler Switalski

P Eugene Emeralds

Age 24 LHP 6'4" / 248 lbs A+ peak 0.6 · 2029

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	22	MIX2 levels	24	4	97	4.00	3.05	20.1%	9.8%	—	K 15.0% · BB 11.5% · FIP 3.68
2026	23	MIX2 levels	22	21	101	5.45	4.50	26.6%	9.8%	—	K 20.7% · BB 11.2% · FIP 5.64
2027PROJ	24	MLBSF	10	10	70	5.55	5.55	17.3%	12.9%	-0.5
2028PROJ43% MLB	25	MLBSF	6	6	39	5.36	5.32	18.2%	12.0%	-0.2
2029PROJ66% MLB	26	MLBSF	9	9	61	5.24	5.22	18.7%	11.6%	-0.2

Next 3 projected WAR -0.9Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control40Command35

Career WAR0 WAR median (P10 -0 / P90 4, comp-based) · star 1% · didn't stick 84%

CompsCole Kirschsieper (age 22) · Jaylen Nowlin (age 23) · Dante Biasi (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122130vR 139

ERA5.55

FIP5.55

K%17.3%

BB%12.9%

K-BB%4.4%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL4040

CMD3535

K†4050

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 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 + 2027 so far)
2025	22	MIX MLE	2 levels	24	4	97	407	82	40	3	17%	4.0	15.0%	11.5%	3.5%	0.7%	4.00	3.68	—
2025	22	MIX MLE	2 levels	24	4	97	407	82	40	3	17%	4.0	15.0%	11.5%	3.5%	0.7%	4.00	3.68	—
2025	22	MIX RAW	2 levels	24	4	97	407	82	40	3	17%	4.0	20.1%	9.8%	10.3%	0.7%	4.00	3.05	—
2026	23	MIX MLE	2 levels	22	21	101	447	119	44	19	95%	4.6	20.7%	11.2%	9.6%	5.2%	5.45	5.64	—
2026	23	MIX MLE	2 levels	22	21	101	447	119	44	19	95%	4.6	20.7%	11.2%	9.6%	5.2%	5.45	5.64	—
2026	23	MIX RAW	2 levels	22	21	101	447	119	44	19	95%	4.6	26.6%	9.8%	16.8%	4.3%	5.45	4.50	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	SF	10	10	70	296	51	38	10	100%	7.0	17.3%	12.9%	4.4%	3.4%	5.55	5.55	-0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	SF	14	14	92	387	70	46	13	100%	6.5	18.2%	12.0%	6.2%	3.4%	5.36	5.32	-0.4
2029	26	MLB MLE	SF	14	14	92	387	72	45	13	100%	6.5	18.7%	11.6%	7.0%	3.4%	5.24	5.22	-0.3
2030	27	MLB MLE	SF	13	13	90	381	72	44	13	100%	6.9	18.8%	11.5%	7.3%	3.4%	5.20	5.21	-0.3
2031	28	MLB MLE	SF	13	13	88	370	69	43	13	100%	6.7	18.8%	11.6%	7.2%	3.5%	5.23	5.27	-0.4
2032	29	MLB MLE	SF	13	13	84	353	65	42	13	100%	6.4	18.5%	11.8%	6.7%	3.6%	5.33	5.40	-0.5
2033	30	MLB MLE	SF	12	12	79	332	67	37	13	100%	6.6	20.2%	11.3%	8.9%	3.8%	5.32	5.31	-0.4
2028	25	MLB CTX	SF	6	6	39	165	30	20	6	100%	6.5	18.2%	12.0%	6.2%	3.4%	5.36	5.32	-0.2
2029	26	MLB CTX	SF	9	9	61	258	48	30	9	100%	6.8	18.7%	11.6%	7.0%	3.4%	5.24	5.22	-0.2
2030	27	MLB CTX	SF	10	10	70	296	56	34	10	100%	7.0	18.8%	11.5%	7.3%	3.4%	5.20	5.21	-0.2
2031	28	MLB CTX	SF	11	11	74	312	59	36	11	100%	6.7	18.8%	11.6%	7.2%	3.5%	5.23	5.27	-0.3
2032	29	MLB CTX	SF	11	11	73	308	57	36	11	100%	6.6	18.5%	11.8%	6.7%	3.6%	5.33	5.40	-0.4
2033	30	MLB CTX	SF	11	11	71	300	60	34	11	100%	6.5	20.2%	11.3%	8.9%	3.8%	5.32	5.31	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		58	58	388	1638	310	190	58	100%	6.7	18.9%	11.6%	7.3%	3.5%	5.27	4.91	-0.0
/ 200 IP	—	RAW		30	30	200	844	160	98	30	100%	6.7	18.9%	11.6%	7.3%	3.5%	5.27	4.91	-0.0
Career	—	MLE		46	25	197	854	154	97	26	54%	4.3	18.0%	11.3%	6.7%	3.1%	4.74	4.71	-2.3
/ 200 IP	—	MLE		47	25	200	866	156	98	27	54%	4.3	18.0%	11.3%	6.7%	3.1%	4.74	4.71	-0.9

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
Tyler Switalski (OGILVIE)	—	—	5.55	17.3%	12.9%	3.4%	—	5.25	18.5%	6.9%	274	-0.30	—	—	—
Cole Kirschsieper L 2023 · 5.07 FIP	22	SP-	5.07	15.2%	12.0%	3.2%	.268	—	—	—	—	—	5.07	105	84
Jaylen Nowlin L 2024 · 5.15 FIP	23	SP-	5.15	18.7%	12.6%	3.7%	.299	4.77	21.7%	3.2%	100	-0.38	3.45	372	82
Dante Biasi L 2022 · 4.91 FIP	24	SP-	4.91	18.7%	15.9%	2.5%	.288	6.65	20.1%	1.7%	69	+1.74	4.91	224	82
Luis Leroy Cruz L 2015 · 5.03 FIP	24	SP-	5.03	16.0%	10.1%	3.7%	.289	—	—	—	—	—	5.03	116	82
Jack Snodgrass L 2015 · 4.66 FIP	27	SP-	4.66	12.6%	10.7%	2.3%	.278	5.01	15.7%	5.6%	45	+0.35	4.66	118	79
Erik Rivera L 2024 · 5.71 FIP	23	SP-	5.71	19.0%	14.6%	4.3%	.255	4.74	23.9%	6.3%	106	-0.97	4.42	141	78
Miguel Cienfuegos L 2023 · 5.12 FIP	26	SP	5.12	13.6%	10.5%	3.4%	.257	4.54	14.3%	5.8%	242	-0.58	2.95	313	78
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	78
Justin Marks L 2015 · 4.60 FIP	27	SP-	4.60	15.4%	10.5%	2.7%	.323	3.88	19.0%	9.1%	216	-0.72	3.83	324	78
Grant Watson L 2017 · 4.70 FIP	24	SP-	4.70	16.4%	10.3%	3.0%	.344	—	—	—	—	—	2.59	180	77
Scott DeCecco L 2015 · 4.55 FIP	24	SP-	4.55	14.5%	11.5%	2.2%	.331	—	—	—	—	—	4.55	125	77
Matt Portland L 2018 · 4.64 FIP	24	SP-	4.64	17.4%	11.0%	2.9%	.364	—	—	—	—	—	3.61	143	77
Demetrio Gutierrez L 2015 · 5.33 FIP	25	SP-	5.33	12.3%	8.5%	4.0%	.327	4.78	10.7%	3.9%	181	-0.55	3.68	322	77
Jake Zokan L 2015 · 4.89 FIP	24	SP	4.89	12.5%	9.9%	2.9%	.292	1.79	24.2%	22.5%	37	-3.10	1.79	120	76
Tim Berry L 2015 · 4.46 FIP	24	SP-	4.46	12.0%	9.7%	2.1%	.346	5.03	14.7%	-0.6%	113	+0.57	4.04	196	76
Brett Adcock L 2019 · 5.34 FIP	23	SP	5.34	17.4%	13.6%	3.6%	.295	—	—	—	—	—	4.02	301	76
Hayden Wynja L 2023 · 4.74 FIP	24	SP-	4.74	20.5%	10.5%	3.7%	.315	4.79	18.0%	7.5%	56	+0.05	4.74	154	76
John Koronka L 2005 · 4.77 FIP	25	SP-	4.77	13.2%	10.5%	2.6%	.304	4.81	10.5%	2.2%	135	+0.04	3.99	151	76
Doug Davis L 2000 · 5.12 FIP	24	SW	5.12	14.7%	12.2%	3.1%	.302	4.41	13.0%	4.1%	355	-0.71	3.47	1,713	76
J.C. Romero L 2000 · 4.58 FIP	24	SP	4.58	18.7%	11.2%	3.0%	.356	3.98	18.2%	8.4%	209	-0.60	2.88	652	76

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 3,327 pitcher careers (1,251 from 1990-2025 + 2,076 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	3.0	85	18.6%	11.8%	1.35	5.31
Jim Britton ('67-'71, -0 WAR*)	1.2	79	18.4%*	11.7%*	1.42*	5.10*
Lou Sleater ('50-'58, -2 WAR*)	1.5	60	19.6%*	11.2%*	1.30*	5.08*
Frank Kreutzer ('62-'69, -1 WAR*)	1.1	70	20.0%*	11.6%*	1.21*	5.31*
Todd Wellemeyer ('10)	3.1	77	16.9%	11.2%	1.26	4.83
Britt Reames ('06)	1.1	73	20.7%	12.0%	1.32	5.28
Dustin Nippert ('10)	1.3	67	17.6%	11.2%	1.18	5.31