Tommy Eveld — OGILVIE

Tommy Eveld P Chattanooga Lookouts

Age 32 RHP 6'5" / 214 lbs AA peak 0.1 · 2026

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 113105vR 97

ERA4.20

FIP4.20

K%23.2%

BB%8.2%

K-BB%15.0%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Contract

Scouting Grades

K†5555

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)
2017	23	MIX MLE	2 levels	41	0	50	199	59	18	1	0%	1.2	22.3%	10.5%	11.8%	0.6%	2.72	2.88	—
2017	23	MIX RAW	2 levels	41	0	50	199	59	18	1	0%	1.2	29.6%	9.0%	20.6%	0.5%	2.72	2.07	—
2018	24	MIX MLE	2 levels	45	0	50	199	61	9	1	0%	1.1	24.0%	5.2%	18.8%	0.6%	1.07	2.07	—
2018	24	MIX RAW	2 levels	45	0	50	199	61	9	1	0%	1.1	30.7%	4.5%	26.1%	0.5%	1.07	1.47	—
2019	25	MIX MLE	2 levels	42	0	49	204	60	17	12	0%	1.2	24.6%	8.8%	15.8%	6.3%	5.11	5.61	—
2019	25	MIX RAW	2 levels	42	0	49	204	60	17	12	0%	1.2	29.4%	8.3%	21.1%	5.9%	5.11	4.86	—
2021	27	MIX MLE	2 levels	38	0	49	201	59	15	8	0%	1.3	25.5%	7.9%	17.6%	5.3%	3.33	4.87	—
2021	27	MIX RAW	2 levels	38	0	49	201	59	15	8	0%	1.3	29.4%	7.5%	21.9%	4.0%	3.33	3.74	—
2022	28	MIX MLE	2 levels	26	1	39	157	37	10	6	4%	1.5	19.3%	7.4%	11.9%	4.5%	2.97	4.90	—
2022	28	MIX RAW	2 levels	26	1	39	157	37	10	6	4%	1.5	23.6%	6.4%	17.2%	3.8%	2.97	3.96	—
2023	29	MIX MLE	2 levels	20	0	32	141	38	7	4	0%	1.6	22.6%	6.0%	16.6%	2.7%	5.01	3.45	—
2023	29	MIX MLE	2 levels	20	0	32	141	38	7	4	0%	1.6	22.6%	6.0%	16.6%	2.7%	5.01	3.45	—
2023	29	MIX RAW	2 levels	20	0	32	141	38	7	4	0%	1.6	27.0%	5.0%	22.0%	2.8%	5.01	3.01	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	CIN	1	0	1	4	1	0	0	0%	1.0	23.2%	8.2%	15.0%	3.0%	4.20	4.20	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	CIN	19	0	20	84	19	7	3	0%	1.1	22.7%	8.7%	14.0%	3.3%	4.36	4.46	+0.0
2027	33	MLB CTX	CIN	6	0	6	25	6	2	1	0%	1.0	22.7%	8.7%	14.0%	3.3%	4.36	4.46	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	6	2	1	0%	1.0	22.7%	8.7%	14.0%	3.3%	4.36	4.08	+0.0
/ 200 IP	—	RAW		190	0	200	844	192	64	32	0%	1.1	22.7%	8.7%	14.0%	3.3%	4.36	4.08	+1.1
Career	—	MLE		212	1	270	1101	256	85	37	0%	1.3	23.3%	7.7%	15.5%	3.4%	3.27	3.96	+0.0
/ 200 IP	—	MLE		157	1	200	817	190	63	27	0%	1.3	23.3%	7.7%	15.5%	3.4%	3.27	3.96	+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
Tommy Eveld (OGILVIE)	—	—	4.20	23.2%	8.2%	3.0%	—	4.46	22.7%	14.0%	20	+0.26	—	—	—
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	88
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	88
Ross Ohlendorf R 2015 · 3.30 FIP	32	SU	3.30	23.7%	7.2%	2.3%	.342	4.93	23.4%	12.7%	66	+1.63	3.30	122	84
Santiago Casilla R 2015 · 3.50 FIP	35	SU	3.50	25.4%	8.6%	2.7%	.290	3.97	22.4%	12.7%	161	+0.47	3.50	219	83
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	82
Jonathan Broxton R 2016 · 3.77 FIP	32	SU	3.77	22.0%	7.3%	2.9%	.256	4.34	20.5%	9.0%	16	+0.57	3.67	137	82
Mark Serrano R 2017 · 3.56 FIP	31	SU	3.56	21.9%	6.4%	2.7%	.240	5.25	20.2%	12.3%	42	+1.69	3.16	120	81
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	80
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	80
Joakim Soria R 2016 · 4.33 FIP	32	SU	4.33	23.2%	9.2%	3.7%	.319	2.63	28.5%	21.7%	186	-1.70	2.01	380	80
Adrian Ramirez R 2019 · 4.29 FIP	31	SU	4.29	21.7%	6.3%	4.0%	.327	—	—	—	—	—	3.04	137	79
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	79
Matt Albers R 2015 · 3.19 FIP	32	SU	3.19	18.8%	4.7%	2.0%	.252	4.45	20.4%	13.3%	147	+1.26	3.15	244	78
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	78
Brad Boxberger R 2020 · 4.65 FIP	32	SU	4.65	22.8%	10.1%	4.0%	.280	3.49	27.2%	17.5%	149	-1.16	3.01	363	77
Carlos Torres R 2015 · 3.19 FIP	32	SU	3.19	19.8%	4.9%	2.1%	.315	3.67	20.8%	12.4%	206	+0.48	2.89	326	77
Carlos Fisher R 2015 · 3.45 FIP	32	SU	3.45	22.6%	11.6%	1.4%	.236	3.17	22.5%	11.1%	91	-0.28	2.48	147	76
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	76
Chris Hatcher R 2017 · 4.31 FIP	32	SU	4.31	24.5%	7.4%	4.3%	.291	5.32	18.0%	8.4%	36	+1.01	2.92	176	76
James Hoyt R 2019 · 3.45 FIP	32	SU	3.45	22.2%	9.9%	1.8%	.355	5.63	22.1%	10.4%	50	+2.18	1.61	312	75