Cristofer Gomez — OGILVIE

Cristofer Gomez P Brooklyn Cyclones

Age 23 RHP 6'4" / 222 lbs A+ peak 0.1 · 2028

2026 ROS PROJECTION55 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 127119vR 110

ERA4.92

FIP4.92

K%25.6%

BB%16.8%

K-BB%8.8%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 62 IP

Grades · Contract

Scouting Grades

STUF6060

CTRL3030

CMD5555

K†6060

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)
2022	19	ROK MLE	DSL Mets 1	15	0	23	85	37	9	0	0%	1.5	29.6%	13.2%	16.4%	0.0%	0.40	2.28	—
2022	19	ROK RAW	DSL Mets 1	15	0	23	85	37	9	0	0%	1.5	43.5%	10.6%	32.9%	0.0%	0.40	1.03	—
2023	20	MIX MLE	2 levels	11	0	18	69	21	8	0	0%	1.7	19.6%	15.2%	4.4%	0.0%	0.98	3.37	—
2023	20	MIX MLE	2 levels	11	0	18	69	21	8	0	0%	1.7	19.6%	15.2%	4.4%	0.0%	0.98	3.37	—
2023	20	MIX RAW	2 levels	11	0	18	69	21	8	0	0%	1.7	30.4%	11.6%	18.8%	0.0%	0.98	2.12	—
2024	21	MIX MLE	2 levels	27	0	44	186	47	25	0	0%	1.6	19.3%	17.5%	1.8%	0.0%	3.92	3.68	—
2024	21	MIX MLE	2 levels	27	0	44	186	47	25	0	0%	1.6	19.3%	17.5%	1.8%	0.0%	3.92	3.68	—
2024	21	MIX RAW	2 levels	27	0	44	186	47	25	0	0%	1.6	25.3%	13.4%	11.8%	0.0%	3.92	2.66	—
2025	22	MIX MLE	2 levels	31	1	58	254	88	37	3	3%	1.9	25.9%	17.0%	8.9%	1.7%	4.37	3.97	—
2025	22	MIX MLE	2 levels	31	1	58	254	88	37	3	3%	1.9	25.9%	17.0%	8.9%	1.7%	4.37	3.97	—
2025	22	MIX RAW	2 levels	31	1	58	254	88	37	3	3%	1.9	34.6%	14.6%	20.1%	1.2%	4.37	2.65	—
▸ 2026 season
YTD	23	AA MLE	Binghamton Rumble Ponies	43	1	55	233	81	32	6	2%	1.3	27.1%	15.7%	11.4%	3.1%	3.74	4.51	—
YTD	23	AA MLE	Binghamton Rumble Ponies	43	1	55	233	81	32	6	2%	1.3	27.1%	15.7%	11.4%	3.1%	3.74	4.51	—
▸ 2026 season — so far · projected rest · full
2026	23	A+ RAW	NYM	31	1	38	164	61	26	2	3%	1.2	37.2%	15.9%	21.3%	1.2%	3.29	2.64	—
2026	23	AA RAW	NYM	12	0	17	69	20	6	4	0%	1.4	29.0%	8.7%	20.3%	5.8%	4.76	4.94	—
ROS	23	MLB MLE	NYM	6	0	6	27	7	4	1	0%	1.1	25.6%	16.8%	8.8%	2.7%	4.92	4.92	-0.0
2026 TOT	23	MLB MLE	NYM	—	—	62	260	88	36	7	—	—	33.8%	14.0%	19.8%	2.6%	3.86	4.56	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	24	MLB MLE	NYM	88	0	92	389	101	55	10	0%	1.0	25.9%	14.2%	11.7%	2.7%	4.68	4.57	-0.0
2028	25	MLB MLE	NYM	89	0	93	394	102	49	11	0%	1.0	26.0%	12.5%	13.5%	2.7%	4.47	4.35	+0.2
2029	26	MLB MLE	NYM	89	0	93	394	102	48	11	0%	1.0	26.0%	12.2%	13.8%	2.7%	4.38	4.32	+0.3
2030	27	MLB MLE	NYM	88	0	92	388	100	47	11	0%	1.0	25.9%	12.2%	13.7%	2.8%	4.37	4.36	+0.2
2031	28	MLB MLE	NYM	85	0	89	377	97	46	11	0%	1.0	25.8%	12.3%	13.4%	2.9%	4.41	4.44	+0.1
2032	29	MLB MLE	NYM	81	0	85	360	92	45	11	0%	1.1	25.5%	12.6%	13.0%	3.0%	4.51	4.57	-0.0
2033	30	MLB MLE	NYM	76	0	80	338	85	43	11	0%	1.1	25.2%	12.8%	12.3%	3.2%	4.65	4.75	-0.2
2027	24	MLB CTX	NYM	38	0	40	169	44	24	5	0%	1.1	25.9%	14.2%	11.7%	2.7%	4.68	4.57	-0.0
2028	25	MLB CTX	NYM	59	0	62	262	68	33	7	0%	1.1	26.0%	12.5%	13.5%	2.7%	4.47	4.35	+0.1
2029	26	MLB CTX	NYM	70	0	74	312	81	38	8	0%	1.1	26.0%	12.2%	13.8%	2.7%	4.38	4.32	+0.2
2030	27	MLB CTX	NYM	74	0	78	329	85	40	9	0%	1.1	25.9%	12.2%	13.7%	2.8%	4.37	4.36	+0.2
2031	28	MLB CTX	NYM	75	0	79	334	86	41	10	0%	1.1	25.8%	12.3%	13.4%	2.9%	4.41	4.44	+0.1
2032	29	MLB CTX	NYM	73	0	77	325	83	41	10	0%	1.1	25.5%	12.6%	13.0%	3.0%	4.51	4.57	-0.0
2033	30	MLB CTX	NYM	70	0	74	312	79	40	10	0%	1.1	25.2%	12.8%	12.3%	3.2%	4.65	4.75	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		462	0	485	2047	526	257	59	0%	1.0	25.7%	12.6%	13.1%	2.9%	4.48	4.09	+2.6
/ 200 IP	—	RAW		190	0	200	844	217	106	24	0%	1.1	25.7%	12.6%	13.1%	2.9%	4.48	4.09	+1.1
Career	—	MLE		127	2	198	827	204	134	12	2%	1.6	24.6%	16.2%	8.4%	1.4%	3.32	3.84	+0.5
/ 200 IP	—	MLE		128	2	200	837	206	135	12	2%	1.6	24.6%	16.2%	8.4%	1.4%	3.32	3.84	+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
Cristofer Gomez (OGILVIE)	—	—	4.92	25.6%	16.8%	2.7%	—	4.41	25.9%	13.0%	279	-0.51	—	—	—
Matt Keating R 2023 · 4.34 FIP	22	SU	4.34	23.3%	14.8%	2.4%	.346	4.63	23.2%	9.1%	157	+0.29	3.38	222	85
Tyler Vogel R 2023 · 4.93 FIP	22	SU	4.93	23.4%	14.3%	3.6%	.305	4.48	19.1%	6.1%	135	-0.45	3.84	200	85
Carlos Contreras R 2015 · 4.29 FIP	24	SU	4.29	22.2%	15.6%	2.0%	.271	4.46	11.9%	2.4%	40	+0.17	4.29	107	85
Luis Ramirez R 2015 · 4.68 FIP	23	SU	4.68	23.1%	15.9%	2.8%	.278	3.71	24.0%	11.4%	53	-0.97	3.71	104	84
Craig Schlitter R 2016 · 4.53 FIP	24	SU	4.53	22.7%	15.4%	2.5%	.298	4.67	14.7%	4.2%	171	+0.14	4.25	222	84
Ryan Sublette R 2022 · 3.74 FIP	23	SU	3.74	27.3%	14.6%	2.0%	.301	5.29	19.7%	2.0%	149	+1.55	3.74	203	84
Brandon Johnson R 2023 · 4.94 FIP	24	SU	4.94	22.4%	14.2%	3.5%	.327	4.49	22.0%	11.9%	189	-0.45	3.35	250	83
Tanner Jacobson R 2023 · 4.09 FIP	23	SU	4.09	22.8%	13.8%	2.1%	.313	4.89	21.1%	5.4%	115	+0.80	4.09	168	83
Caleb Simpson R 2017 · 5.37 FIP	25	SU	5.37	23.7%	17.2%	3.8%	.263	3.93	23.5%	5.1%	71	-1.44	3.57	197	83
Andrew McInvale R 2021 · 4.92 FIP	24	SU	4.92	26.4%	16.3%	3.6%	.278	5.66	20.3%	5.0%	58	+0.74	4.92	103	83
Sandy Lugo R 2017 · 4.40 FIP	23	SU	4.40	22.0%	14.8%	2.3%	.282	—	—	—	—	—	3.48	146	82
Tommy Kahnle R 2015 · 4.13 FIP	25	SU	4.13	23.8%	14.8%	2.1%	.284	2.58	30.9%	21.0%	165	-1.55	1.53	458	82
Jake Gilbert R 2021 · 4.14 FIP	24	SU	4.14	22.1%	15.2%	1.8%	.314	4.65	18.2%	2.0%	53	+0.51	4.14	103	81
Aaron Kurcz R 2015 · 3.98 FIP	24	SU	3.98	22.4%	13.6%	1.9%	.331	4.05	16.1%	8.0%	105	+0.07	3.31	213	81
Mason Vinyard R 2023 · 3.73 FIP	24	SU	3.73	22.7%	13.6%	1.5%	.270	4.67	19.3%	5.9%	147	+0.94	3.60	207	81
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	81
Vin Timpanelli R 2022 · 5.35 FIP	23	SU	5.35	27.4%	19.9%	3.7%	.350	4.72	17.9%	4.0%	69	-0.63	4.01	162	81
Logan VanWey R 2023 · 4.34 FIP	24	SU	4.34	23.9%	14.0%	2.7%	.301	3.86	25.0%	14.1%	144	-0.48	3.15	191	81
Jacob Wallace R 2022 · 5.59 FIP	23	SU	5.59	24.6%	21.6%	3.4%	.237	4.27	22.9%	10.2%	153	-1.32	3.50	279	81
Jackson Kelley R 2023 · 3.80 FIP	23	SU	3.80	26.5%	13.1%	2.3%	.313	3.65	21.6%	10.7%	165	-0.15	3.21	218	81

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	3.6	89	25.7%	13.2%	1.09	4.55
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Vince Velasquez ('23)	3.8	85	24.9%	9.3%	1.48	4.88
Ian Anderson ('22)	1.4	91	22.5%	10.4%	0.96	3.97
Aaron Sanchez ('22)	3.3	93	18.1%	10.0%	0.98	4.32
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Mike Clevinger ('23)	3.9	113	24.8%	8.7%	1.07	3.45