Tobias Myers

P New York Mets

Age 28 RHP 6'1" / 223 lbs MLB peak 0.1 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX2 levels	32	28	157	2.81	3.66	23.4%	6.7%	3.3	K 22.9% · BB 6.6% · FIP 3.66
2025	26	MIX2 levels	34	18	110	3.67	3.46	19.7%	6.8%	2.6	K 18.1% · BB 6.4% · FIP 3.52
2026	27	MIX2 levels	47	8	90	4.80	3.94	21.0%	6.9%	0.6	K 19.5% · BB 6.6% · FIP 4.08
2027PROJ	28	MLBNYM	8	8	50	4.09	4.29	19.4%	6.5%	0.7
2028PROJ95% MLB	29	MLBNYM	5	5	32	4.31	4.46	18.8%	6.7%	0.4
2029PROJ95% MLB	30	MLBNYM	4	4	23	4.52	4.66	18.1%	7.0%	0.2

Last 3 seasons WAR 6.5 · Next 3 projected WAR 1.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs49

FB Velo22

K%20

CompsDustin Nippert (age 28) · Kyle Snyder (age 28) · Erik Hiljus (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 112104vR 95

ERA4.09

FIP4.29

K%19.4%

BB%6.5%

K-BB%12.9%

Proj IP50

Value2027 · WAR

Runs saved vs league avg · 50 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p2292.5

Whiff%

p1520.3%

p2017.8%

xwOBA vs

p490.313

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 the standard WAR scale.

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)
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 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	22.9%	6.6%	16.4%	3.0%	2.81	3.66	+3.3
2024	25	MIX MLE	2 levels	32	28	157	644	151	43	20	88%	4.9	22.9%	6.6%	16.4%	3.0%	2.81	3.66	+3.3
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	+3.3
2025	26	MIX MLE	2 levels	34	18	110	471	93	32	10	53%	3.2	18.1%	6.4%	11.7%	2.1%	3.67	3.52	+2.5
2025	26	MIX MLE	2 levels	34	18	110	471	93	32	10	53%	3.2	18.1%	6.4%	11.7%	2.1%	3.67	3.52	+2.5
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	+2.6
2026	27	MIX MLE	2 levels	47	8	90	377	79	26	12	17%	1.9	19.5%	6.6%	12.9%	3.3%	4.80	4.08	+0.5
2026	27	MIX MLE	2 levels	47	8	90	377	79	26	12	17%	1.9	19.5%	6.6%	12.9%	3.3%	4.80	4.08	+0.5
2026	27	MIX RAW	2 levels	47	8	90	377	79	26	12	17%	1.9	21.0%	6.9%	14.1%	3.2%	4.80	3.94	+0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			81	34	242	1019	206	66	32	42%	3.0	20.2%	6.5%	13.7%	3.1%	3.68	3.93	+1.8
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	NYM	8	8	50	211	41	14	6	100%	6.2	19.4%	6.5%	12.9%	3.0%	4.09	4.29	+0.7
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	NYM	6	6	34	144	27	10	4	100%	5.7	18.8%	6.7%	12.1%	3.1%	4.31	4.46	+0.4
2029	30	MLB MLE	NYM	4	4	24	101	18	7	3	100%	6.0	18.1%	7.0%	11.1%	3.3%	4.52	4.66	+0.2
2028	29	MLB CTX	NYM	5	5	32	135	25	9	4	100%	6.4	18.8%	6.7%	12.1%	3.1%	4.31	4.46	+0.4
2029	30	MLB CTX	NYM	4	4	23	97	18	7	3	100%	5.8	18.1%	7.0%	11.1%	3.3%	4.52	4.66	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		90	43	297	1252	249	82	39	48%	3.3	19.9%	6.5%	13.4%	3.2%	3.81	3.98	+2.0
/ 200 IP	—	RAW		61	29	200	842	167	55	26	48%	3.3	19.9%	6.5%	13.4%	3.2%	3.81	3.98	+1.4
Career	—	MLE		237	162	903	3838	738	313	130	68%	3.8	19.2%	8.1%	11.1%	3.4%	4.08	4.37	+4.8
/ 200 IP	—	MLE		53	36	200	850	164	69	29	68%	3.8	19.2%	8.1%	11.1%	3.4%	4.08	4.37	+3.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAASyracuse Mets · 36 IPFIP 2.99 → 3.31 (+0.32)K% 25.9% → 22.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.85%	—	×0.860	22.23%
BB% (unintentional) /BF	7.48%	—	×0.900	6.73%
HR / BF /BF	2.04%	÷1.000	×1.100	2.24%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 2.99 → 3.31, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAANashville Sounds · 60 IPFIP 3.20 → 3.36 (+0.16)K% 21.9% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.91%	—	×0.860	18.84%
BB% (unintentional) /BF	6.77%	—	×0.900	6.10%
HR / BF /BF	1.99%	÷1.111	×1.100	1.97%

Result: FIP 3.20 → 3.36, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAANashville Sounds · 19 IPFIP 3.04 → 3.61 (+0.57)K% 32.0% → 27.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.00%	—	×0.860	27.52%
BB% (unintentional) /BF	9.33%	—	×0.900	8.40%
HR / BF /BF	2.67%	÷0.909	×1.100	3.23%

Result: FIP 3.04 → 3.61, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AABiloxi Shuckers · 138 IPFIP 4.46 → 5.40 (+0.94)K% 28.7% → 23.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.67%	—	×0.810	23.22%
BB% (unintentional) /BF	7.68%	—	×1.100	8.45%
HR / BF /BF	5.12%	÷1.055	×1.200	5.82%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 111).

Result: FIP 4.46 → 5.40, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAACharlotte Knights · 76 IPFIP 5.77 → 5.51 (−0.26)K% 14.2% → 12.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.25%	—	×0.880	12.54%
BB% (unintentional) /BF	13.46%	—	×1.050	14.13%
HR / BF /BF	3.96%	÷1.421	×1.100	3.06%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 184).

Result: FIP 5.77 → 5.51, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAADurham Bulls · 58 IPFIP 4.27 → 4.69 (+0.42)K% 26.9% → 23.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.86%	—	×0.880	23.64%
BB% (unintentional) /BF	7.44%	—	×1.050	7.81%
HR / BF /BF	4.55%	÷1.059	×1.100	4.72%

Result: FIP 4.27 → 4.69, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAMontgomery Biscuits · 60 IPFIP 2.60 → 3.72 (+1.12)K% 34.2% → 27.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.18%	—	×0.810	27.68%
BB% (unintentional) /BF	4.22%	—	×1.100	4.64%
HR / BF /BF	3.38%	÷0.938	×1.200	4.32%

Result: FIP 2.60 → 3.72, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 A+Charlotte Stone Crabs · 78 IPFIP 3.38 → 4.08 (+0.70)K% 16.7% → 12.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.67%	—	×0.770	12.83%
BB% (unintentional) /BF	7.86%	—	×1.150	9.04%
HR / BF /BF	1.26%	÷0.939	×1.250	1.68%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 88).

Result: FIP 3.38 → 4.08, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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)	—	—	—	—	—	3.0%	—	4.54	18.5%	11.7%	58	+0.25	—	—	—
Dustin Nippert R 2009 · 4.09 FIP	28	SP-	4.09	18.0%	9.7%	2.3%	.271	4.49	17.9%	6.1%	57	+0.40	3.83	268	72
Kyle Snyder R 2006 · 4.47 FIP	28	SP-	4.47	19.9%	5.9%	4.2%	.373	4.83	16.9%	4.5%	54	+0.36	3.80	236	70
Erik Hiljus R 2001 · 3.35 FIP	28	SP-	3.35	23.1%	6.9%	2.4%	.321	6.07	14.1%	4.4%	46	+2.72	3.35	112	69
Christian Bergman R 2016 · 4.74 FIP	28	SW	4.74	15.3%	5.6%	4.0%	.309	4.62	15.0%	9.1%	322	-0.12	3.99	521	69
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	68
Gary Glover R 2005 · 4.20 FIP	28	SP-	4.20	20.4%	7.0%	3.5%	.327	4.50	15.2%	8.3%	132	+0.30	4.02	516	68
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	65
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	65
Mike Bolsinger R 2016 · 4.20 FIP	28	SP-	4.20	21.9%	8.3%	3.4%	.349	4.26	20.2%	10.8%	89	+0.06	3.42	379	65
Drew VerHagen R 2019 · 4.11 FIP	28	SW	4.11	19.5%	7.3%	3.2%	.344	6.00	17.0%	4.7%	22	+1.89	2.80	487	64
Omar Bencomo R 2017 · 4.50 FIP	28	SP-	4.50	18.9%	6.3%	4.0%	.333	4.48	14.9%	10.1%	186	-0.02	3.70	381	64
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	64
Cory Lidle R 2000 · 4.32 FIP	28	SW	4.32	14.6%	6.1%	3.1%	.313	4.06	14.2%	8.7%	573	-0.26	3.48	1,318	63
David Phelps R 2015 · 3.94 FIP	28	SP	3.94	16.0%	6.8%	2.4%	.299	2.82	29.9%	20.6%	142	-1.12	2.50	672	63
Clay Condrey R 2003 · 5.41 FIP	27	SP-	5.41	14.9%	10.1%	4.2%	.303	4.07	13.1%	7.4%	29	-1.34	3.18	250	63
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	3.73	613	62
Nate Karns R 2016 · 3.88 FIP	28	SP-	3.88	24.2%	10.6%	2.7%	.322	4.46	27.1%	20.7%	45	+0.58	3.88	299	62
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	62
Patrick Johnson R 2016 · 3.82 FIP	27	SP-	3.82	17.3%	6.9%	2.4%	.286	4.14	15.7%	6.4%	120	+0.32	3.82	248	62
Jorge Reyes R 2016 · 3.39 FIP	28	SP-	3.39	14.9%	6.9%	1.2%	.357	4.81	11.8%	3.0%	75	+1.42	3.39	227	62

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.7	58	19.8%	6.6%	1.21	3.85
Max Leon ('73-'78, 2 WAR*)	1.6	62	18.3%*	7.1%*	1.26*	3.96*
Nabil Crismatt ('25)	1.1	70	20.6%	7.0%	1.15	3.71
Steve Crawford ('80-'91, 3 WAR*)	2.8	63	18.2%*	7.4%*	1.04*	4.28*
Taylor Buchholz ('11)	1.6	78	17.7%	6.6%	1.19	4.28
Donn Pall ('88-'98, 3 WAR*)	2.5	63	17.1%*	6.2%*	1.20*	3.86*
Julio Mateo ('07)	1.6	64	16.2%	6.4%	1.27	3.68