Tyler Schweitzer

Tyler Schweitzer P Charlotte Knights

Age 25 LHP 6'0" / 185 lbs AAA

2026 ROS PROJECTION86 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 108116vR 125

ERA4.45

FIP4.45

K%15.4%

BB%8.2%

K-BB%7.3%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 93 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—40

STUF4545

CTRL5050

CMD4550

K†4040

Statcast Percentiles

FB Velo

p4394.0

Whiff%

p2221.3%

p1011.7%

xwOBA vs

p100.359

FB+0.5 (42%)

CH (10%)

SI (4%)

CU (7%)

SL-1.5 (49%)

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 + 2026 so far)
2023	22	MIX MLE	2 levels	23	22	107	463	121	45	10	96%	4.7	19.6%	11.3%	8.3%	3.0%	3.94	4.50	—
2023	22	MIX MLE	2 levels	23	22	107	463	121	45	10	96%	4.7	19.6%	11.3%	8.3%	3.0%	3.94	4.50	—
2023	22	MIX RAW	2 levels	23	22	107	463	121	45	10	96%	4.7	26.1%	9.7%	16.4%	2.2%	3.94	3.31	—
2024	23	MIX MLE	2 levels	25	25	132	552	136	41	12	100%	5.3	19.6%	8.3%	11.3%	3.0%	4.02	4.12	—
2024	23	MIX MLE	2 levels	25	25	132	552	136	41	12	100%	5.3	19.6%	8.3%	11.3%	3.0%	4.02	4.12	—
2024	23	MIX RAW	2 levels	25	25	132	552	136	41	12	100%	5.3	24.6%	7.4%	17.2%	2.2%	4.02	3.15	—
2025	24	MIX MLE	2 levels	27	10	100	428	81	41	13	37%	3.7	15.5%	9.3%	6.2%	2.5%	4.61	4.36	—
2025	24	MIX MLE	2 levels	27	10	100	428	81	41	13	37%	3.7	15.5%	9.3%	6.2%	2.5%	4.61	4.36	—
2025	24	MIX RAW	2 levels	27	10	100	428	81	41	13	37%	3.7	18.9%	9.6%	9.3%	3.0%	4.61	4.40	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			18	0	37	154	18	12	3	0%	2.1	11.7%	7.8%	3.9%	1.9%	3.13	4.14	+0.2
▸ 2026 season
YTD	25	MLB MLE	Chicago White Sox	41	4	86	365	58	24	8	10%	2.1	14.0%	6.2%	7.8%	2.3%	3.75	3.98	+0.6
YTD	25	MLB MLE	Chicago White Sox	41	4	86	365	58	24	8	10%	2.1	14.0%	6.2%	7.8%	2.3%	3.75	3.98	+0.6
▸ 2026 season — so far · projected rest · full
2026	25	AAA RAW	CWS	23	4	49	211	40	12	5	17%	2.1	19.0%	5.7%	13.3%	2.4%	4.22	3.52	—
2026	25	MLB RAW	CWS	18	0	37	154	18	12	3	0%	2.1	11.7%	7.8%	3.9%	1.9%	3.13	4.17	+0.2
SO FAR	25	MLB RAW	CWS	18	0	37	154	18	12	3	0%	2.1	11.7%	7.8%	3.9%	1.9%	3.13	4.17	+0.2
ROS	25	MLB MLE	CWS	6	0	6	27	4	2	1	0%	1.1	15.4%	8.2%	7.3%	2.9%	4.45	4.45	+0.0
ROS	25	MLB CTX	CWS	6	0	6	25	4	2	1	0%	1.0	15.4%	8.2%	7.3%	2.9%	4.45	4.45	+0.0
2026 TOT	25	MLB MLE	CWS	—	—	93	392	62	26	9	—	—	15.9%	6.7%	9.2%	2.2%	3.80	4.01	+0.9
FULL	25	MLB A+C	CWS	—	—	44	184	62	26	9	—	—	33.7%	14.2%	19.5%	4.8%	8.07	4.67	+0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	CWS	120	0	126	531	87	45	15	0%	1.0	16.4%	8.5%	7.8%	2.8%	4.73	4.70	-0.2
2028	27	MLB MLE	CWS	122	0	128	540	91	46	15	0%	1.0	16.8%	8.6%	8.2%	2.8%	4.70	4.71	-0.2
2029	28	MLB MLE	CWS	122	0	128	540	91	47	16	0%	1.0	16.9%	8.7%	8.3%	3.0%	4.73	4.77	-0.3
2030	29	MLB MLE	CWS	116	0	122	516	87	46	16	0%	1.1	16.8%	8.9%	8.0%	3.1%	4.82	4.88	-0.5
2031	30	MLB MLE	CWS	109	0	115	485	80	44	16	0%	1.1	16.5%	9.2%	7.3%	3.3%	4.96	5.06	-0.6
2027	26	MLB CTX	CWS	114	0	120	507	83	43	14	0%	1.1	16.4%	8.5%	7.8%	2.8%	4.73	4.70	-0.2
2028	27	MLB CTX	CWS	116	0	122	515	87	44	15	0%	1.1	16.8%	8.6%	8.2%	2.8%	4.70	4.71	-0.2
2029	28	MLB CTX	CWS	116	0	122	515	87	45	15	0%	1.1	16.9%	8.7%	8.3%	3.0%	4.73	4.77	-0.3
2030	29	MLB CTX	CWS	110	0	116	490	82	43	15	0%	1.1	16.8%	8.9%	8.0%	3.1%	4.82	4.88	-0.4
2031	30	MLB CTX	CWS	104	0	109	460	76	42	15	0%	1.0	16.5%	9.2%	7.3%	3.3%	4.96	5.06	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		584	0	631	2661	436	231	78	0%	1.1	16.4%	8.7%	7.7%	2.9%	4.68	4.42	+0.9
/ 200 IP	—	RAW		185	0	200	843	138	73	25	0%	1.1	16.4%	8.7%	7.7%	2.9%	4.68	4.42	+0.3
Career	—	MLE		116	61	425	1808	317	161	49	53%	3.7	17.5%	8.9%	8.6%	2.7%	4.08	4.25	+0.9
/ 200 IP	—	MLE		55	29	200	850	149	76	23	53%	3.7	17.5%	8.9%	8.6%	2.7%	4.08	4.25	+0.3

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 Schweitzer (OGILVIE)	—	—	4.88	16.6%	9.1%	3.0%	—	4.73	16.7%	8.1%	382	-0.15	—	—	—
Matt Tracy L 2015 · 3.96 FIP	26	SW	3.96	14.4%	9.8%	1.5%	.306	4.10	14.7%	5.5%	208	+0.14	3.24	298	83
Drake Britton L 2015 · 4.69 FIP	26	SW	4.69	11.1%	9.7%	2.4%	.268	4.79	8.0%	-2.2%	41	+0.10	4.69	125	82
Irwin Delgado L 2015 · 4.77 FIP	26	SW	4.77	14.4%	9.6%	3.0%	.349	3.53	16.2%	7.6%	237	-1.24	3.52	383	81
Nick Maronde L 2015 · 3.85 FIP	25	SW	3.85	18.3%	8.9%	2.1%	.359	3.62	16.3%	8.9%	48	-0.23	3.62	133	80
Matt Crouse L 2015 · 3.99 FIP	25	SW	3.99	12.0%	6.3%	2.0%	.276	4.40	12.2%	4.3%	268	+0.41	3.99	342	78
Brad Hand L 2015 · 3.95 FIP	25	SW	3.95	16.4%	7.6%	2.3%	.326	2.71	32.9%	25.0%	241	-1.24	0.84	577	77
Ryan Kellogg L 2019 · 3.99 FIP	25	SW	3.99	12.4%	5.8%	2.2%	.359	4.33	12.3%	7.1%	64	+0.34	3.65	446	76
Eric Wooten L 2015 · 4.02 FIP	25	SP-	4.02	14.6%	7.5%	2.2%	.316	—	—	—	—	—	4.02	116	74
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	73
Jackson Stoeckinger L 2019 · 4.57 FIP	23	SW	4.57	13.5%	6.9%	3.2%	.303	—	—	—	—	—	3.19	184	72
Colin Rodgers L 2018 · 4.36 FIP	24	SW	4.36	16.8%	9.7%	2.6%	.346	—	—	—	—	—	4.02	313	72
Adam Wolf L 2022 · 3.91 FIP	25	SW	3.91	19.4%	10.6%	2.0%	.292	4.18	16.8%	5.9%	109	+0.27	3.91	383	71
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	71
Alec Gamboa L 2022 · 5.36 FIP	25	SW	5.36	14.8%	13.1%	3.4%	.287	3.96	15.8%	4.0%	169	-1.40	1.46	439	71
Michael Roth L 2015 · 4.94 FIP	25	SP-	4.94	12.1%	8.3%	3.3%	.298	4.42	13.5%	6.2%	358	-0.52	3.96	483	71
Carlos Teller L 2015 · 3.75 FIP	28	SP-	3.75	13.8%	10.9%	0.8%	.329	4.75	13.3%	3.1%	187	+1.00	3.75	333	70
Austin Hamilton L 2019 · 4.02 FIP	25	SW	4.02	17.3%	7.9%	2.5%	.374	—	—	—	—	—	4.02	135	70
Matt Tomshaw L 2015 · 3.91 FIP	26	SP-	3.91	13.8%	6.0%	2.2%	.318	3.57	16.0%	10.7%	401	-0.34	3.04	681	70
Michael Velasquez L 2017 · 5.07 FIP	24	SW	5.07	10.3%	7.5%	3.4%	.325	—	—	—	—	—	3.91	201	70
Max Herrmann L 2018 · 4.76 FIP	25	SW	4.76	13.2%	10.5%	2.6%	.388	3.93	11.1%	-1.3%	71	-0.83	3.93	168	70

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	3.5	116	16.7%	8.8%	1.16	4.79
Luis Perdomo ('22)	2.3	90	16.6%	7.8%	1.08	5.09
Aaron Sanchez ('22)	3.3	93	18.1%	10.0%	0.98	4.32
Sal Romano ('21)	1.3	86	17.0%	8.8%	1.29	5.10
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Dakota Hudson ('24)	2.8	92	15.0%	11.1%	0.91	4.25
Zach Davies ('23)	5.2	116	17.5%	8.1%	1.16	4.36