Tobias Myers — OGILVIE

Tobias Myers P New York Mets

Age 27 RHP 6'1" / 223 lbs MLB peak 0.2 · 2026

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

showingROS

wRC+ AGAINSTvL 108100vR 92

ERA3.62

FIP3.83

K%19.7%

BB%6.4%

K-BB%13.3%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 92 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—50

STUF5055

CTRL5555

CMD5055

K†5050

Statcast Percentiles

FB Velo

p2392.6

Whiff%

p1220.0%

p2017.8%

xwOBA vs

p420.321

FB+2.1 (47%)

SL+1.8 (15%)

CT (13%)

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)
2016	17	ROK MLE	GCL Orioles	3	3	8	35	4	2	1	100%	2.6	11.4%	5.7%	5.7%	2.9%	4.70	4.43	—
2016	17	ROK RAW	GCL Orioles	3	3	8	35	4	2	1	100%	2.6	11.4%	5.7%	5.7%	2.9%	4.70	4.53	—
2018	19	A MLE	Bowling Green Hot Rods	23	21	119	514	101	41	11	91%	5.2	14.5%	9.4%	5.1%	2.7%	3.71	4.54	—
2018	19	A RAW	Bowling Green Hot Rods	23	21	119	514	101	41	11	91%	5.2	19.6%	8.0%	11.7%	2.1%	3.71	3.64	—
2019	20	MIX MLE	2 levels	21	14	85	342	59	28	4	67%	4.0	12.8%	9.0%	3.8%	1.7%	2.13	4.08	—
2019	20	MIX RAW	2 levels	21	14	85	342	59	28	4	67%	4.0	17.3%	8.2%	9.1%	1.2%	2.13	3.31	—
2021	22	MIX MLE	2 levels	25	22	118	479	146	28	19	88%	4.7	25.6%	6.2%	19.4%	4.5%	3.90	4.21	—
2021	22	MIX RAW	2 levels	25	22	118	479	146	28	19	88%	4.7	30.5%	5.8%	24.6%	4.0%	3.90	3.43	—
2022	23	AAA MLE	Charlotte Knights	23	22	76	379	54	51	15	96%	3.3	12.5%	14.1%	-1.6%	3.1%	7.82	5.51	—
2022	23	AAA RAW	Charlotte Knights	23	22	76	379	54	51	15	96%	3.3	14.2%	13.5%	0.8%	4.0%	7.82	6.26	—
2023	24	MIX MLE	2 levels	29	26	141	597	175	46	30	90%	4.9	23.2%	8.4%	14.8%	5.8%	4.93	5.40	—
2023	24	MIX MLE	2 levels	29	26	141	597	175	46	30	90%	4.9	23.2%	8.4%	14.8%	5.8%	4.93	5.40	—
2023	24	MIX RAW	2 levels	29	26	141	597	175	46	30	90%	4.9	29.3%	7.7%	21.6%	5.0%	4.93	4.37	—
2024	25	MIX MLE	2 levels	32	28	157	644	151	43	20	88%	4.9	22.8%	6.6%	16.2%	3.0%	2.81	3.67	+2.3
2024	25	MIX MLE	2 levels	32	28	157	644	151	43	20	88%	4.9	22.8%	6.6%	16.2%	3.0%	2.81	3.67	+2.3
2024	25	MIX RAW	2 levels	32	28	157	644	151	43	20	88%	4.9	23.4%	6.7%	16.8%	3.1%	2.81	3.66	+2.4
2025	26	MIX MLE	2 levels	34	18	110	471	93	32	10	53%	3.2	17.8%	6.4%	11.3%	2.1%	3.67	3.55	+1.8
2025	26	MIX MLE	2 levels	34	18	110	471	93	32	10	53%	3.2	17.8%	6.4%	11.3%	2.1%	3.67	3.55	+1.8
2025	26	MIX RAW	2 levels	34	18	110	471	93	32	10	53%	3.2	19.7%	6.8%	13.0%	2.1%	3.67	3.46	+1.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			78	34	238	1002	203	63	32	44%	3.1	20.3%	6.3%	14.0%	3.2%	3.70	3.93	+1.7
▸ 2026 season
YTD	27	MLB MLE	New York Mets	44	8	86	360	76	23	12	18%	2.0	19.3%	6.1%	13.2%	3.4%	4.92	4.12	+0.4
YTD	27	MLB MLE	New York Mets	44	8	86	360	76	23	12	18%	2.0	19.3%	6.1%	13.2%	3.4%	4.92	4.12	+0.4
▸ 2026 season — so far · projected rest · full
2026	27	AAA RAW	NYM	15	5	36	147	38	11	3	33%	2.4	25.9%	7.5%	18.4%	2.0%	3.72	2.99	—
2026	27	MLB RAW	NYM	29	3	50	213	38	12	9	10%	1.7	17.8%	5.6%	12.2%	4.2%	5.80	4.63	-0.0
SO FAR	27	MLB RAW	NYM	29	3	50	213	38	12	9	10%	1.7	17.8%	5.6%	12.2%	4.2%	5.80	4.63	-0.0
ROS	27	MLB MLE	NYM	6	0	6	27	5	2	1	0%	1.1	19.7%	6.4%	13.3%	2.9%	3.62	3.83	+0.1
ROS	27	MLB CTX	NYM	6	0	6	25	5	2	1	0%	1.0	19.7%	6.4%	13.3%	2.9%	3.62	3.83	+0.1
2026 TOT	27	MLB MLE	NYM	—	—	92	387	81	25	13	—	—	21.0%	6.4%	14.6%	3.3%	4.83	4.10	+0.8
FULL	27	MLB A+C	NYM	—	—	56	236	81	25	13	—	—	34.4%	10.4%	23.9%	5.4%	7.97	4.49	+0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	28	MLB MLE	NYM	12	12	72	304	58	19	10	100%	6.0	19.0%	6.3%	12.7%	3.4%	4.40	4.52	+0.3
2028	29	MLB MLE	NYM	11	11	69	290	53	19	10	100%	6.3	18.4%	6.6%	11.8%	3.5%	4.57	4.68	+0.2
2029	30	MLB MLE	NYM	11	11	65	273	48	19	10	100%	5.9	17.7%	6.9%	10.8%	3.7%	4.76	4.88	+0.0
2027	28	MLB CTX	NYM	11	11	68	287	54	18	10	100%	6.2	19.0%	6.3%	12.7%	3.4%	4.40	4.52	+0.3
2028	29	MLB CTX	NYM	11	11	65	274	50	18	10	100%	5.9	18.4%	6.6%	11.8%	3.5%	4.57	4.68	+0.2
2029	30	MLB CTX	NYM	10	10	61	258	46	18	10	100%	6.1	17.7%	6.9%	10.8%	3.7%	4.76	4.88	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		117	67	440	1853	360	119	62	57%	3.8	19.4%	6.4%	13.0%	3.3%	4.09	4.10	+4.2
/ 200 IP	—	RAW		53	30	200	842	164	54	28	57%	3.8	19.4%	6.4%	13.0%	3.3%	4.09	4.10	+1.9
Career	—	MLE		234	162	899	3821	732	310	130	69%	3.8	19.1%	8.1%	11.0%	3.4%	4.09	4.38	+3.3
/ 200 IP	—	MLE		52	36	200	850	163	69	29	69%	3.8	19.1%	8.1%	11.0%	3.4%	4.09	4.38	+1.5

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
Tobias Myers (OGILVIE)	—	—	4.17	20.0%	6.5%	2.8%	—	4.69	18.4%	11.8%	206	+0.52	—	—	—
Chase Whitley R 2016 · 4.10 FIP	27	SP-	4.10	19.5%	7.0%	3.2%	.217	3.22	18.0%	11.8%	81	-0.88	3.09	159	74
Ben Lively R 2019 · 4.99 FIP	27	SW	4.99	20.8%	9.5%	4.5%	.312	3.30	20.9%	12.1%	77	-1.69	3.30	1,080	69
Raynel Espinal R 2019 · 3.90 FIP	27	SP-	3.90	22.4%	7.1%	3.2%	.313	4.01	22.3%	12.4%	224	+0.11	2.48	507	69
Aaron Northcraft R 2016 · 4.19 FIP	26	SW	4.19	16.1%	8.3%	2.5%	.309	3.32	24.1%	13.4%	34	-0.87	3.32	252	69
Cooper Chandler R 2023 · 4.33 FIP	24	SP-	4.33	17.8%	9.3%	2.9%	.300	3.78	23.5%	17.1%	18	-0.55	3.78	107	68
Kris Medlen R 2015 · 4.82 FIP	29	SP-	4.82	15.4%	6.4%	4.0%	.261	5.17	17.1%	8.6%	173	+0.35	4.59	261	68
Sean Harney R 2023 · 3.55 FIP	25	SP-	3.55	18.2%	9.8%	1.4%	.285	4.74	16.5%	5.1%	59	+1.19	3.55	123	68
Mike Wright Jr. R 2017 · 3.82 FIP	27	SP-	3.82	19.5%	7.4%	2.6%	.298	3.96	19.5%	11.4%	172	+0.14	3.76	725	68
Jacob Turner R 2018 · 4.48 FIP	27	SP-	4.48	14.9%	8.8%	2.8%	.297	—	—	—	—	—	4.29	340	68
Mitch Neunborn R 2023 · 3.65 FIP	26	SP-	3.65	24.5%	9.5%	2.6%	.232	5.15	17.6%	6.7%	202	+1.50	3.65	245	68
Michael Darrell-Hicks R 2023 · 3.71 FIP	25	SP-	3.71	20.3%	8.7%	2.2%	.309	3.50	21.1%	13.0%	142	-0.21	1.87	251	67
Braden Shipley R 2019 · 5.19 FIP	27	SP-	5.19	18.2%	8.9%	4.6%	.326	5.26	20.4%	5.3%	83	+0.07	3.69	728	67
Bryce Morrow R 2015 · 4.31 FIP	27	SP-	4.31	12.8%	7.9%	2.4%	.316	5.44	10.1%	-0.2%	50	+1.13	4.31	125	67
Tristan Stevens R 2023 · 4.14 FIP	25	SW	4.14	17.3%	8.2%	2.7%	.411	3.68	15.0%	7.7%	91	-0.46	3.68	126	67
Vance Worley R 2015 · 3.92 FIP	27	SW	3.92	15.2%	5.2%	2.6%	.296	4.72	13.4%	4.9%	220	+0.80	3.92	411	67
Rubby De La Rosa R 2016 · 4.09 FIP	27	SP-	4.09	24.3%	8.6%	3.6%	.248	4.13	27.6%	18.3%	42	+0.04	4.04	281	66
Parker Curry R 2019 · 4.79 FIP	25	SP-	4.79	17.8%	5.4%	4.6%	.266	—	—	—	—	—	3.73	256	66
Tiago Da Silva R 2015 · 3.10 FIP	30	SW	3.10	19.6%	4.5%	2.0%	.278	2.38	21.4%	18.5%	98	-0.72	2.21	287	66
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	66
Lisalverto Bonilla R 2017 · 4.61 FIP	27	SW	4.61	18.2%	10.5%	3.1%	.304	4.70	15.8%	3.2%	11	+0.09	3.22	221	66

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	1.4	70	18.8%	6.6%	1.29	4.41
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Austin Pruitt ('23)	1.5	61	16.9%	5.6%	1.22	4.45
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Eli Morgan ('24)	1.3	66	23.8%	6.4%	1.46	3.97