Christian Suarez

P Tulsa Drillers

Age 26 LHP 5'11" / 160 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	41	0	55	3.60	3.25	23.0%	14.6%	—	K 18.4% · BB 16.3% · FIP 3.88
2025	24	AALAD	42	0	64	3.38	3.93	23.2%	17.1%	—	K 18.8% · BB 18.9% · FIP 4.64
2026	25	AALAD	50	1	69	4.67	3.72	26.2%	10.8%	—	K 21.2% · BB 11.9% · FIP 4.54
2027PROJ	26	MLBLAD	67	0	70	5.44	5.44	19.8%	16.7%	-0.7
2028PROJ38% MLB	27	MLBLAD	25	0	26	5.36	5.37	20.2%	16.0%	-0.2
2029PROJ60% MLB	28	MLBLAD	38	0	40	5.34	5.38	20.3%	15.7%	-0.4

Next 3 projected WAR -1.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control20Command35

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsFabian Williamson (age 26) · Matt Purke (age 26) · Nick Lee (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 120128vR 136

ERA5.44

FIP5.44

K%19.8%

BB%16.7%

K-BB%3.1%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL2020

CMD3535

K†4550

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 + 2027 so far)
2019	18	ROK MLE	DSL LAD Bautista	13	5	43	181	36	10	1	38%	3.3	13.5%	6.9%	6.6%	0.8%	2.28	3.26	—
2019	18	ROK RAW	DSL LAD Bautista	13	5	43	181	36	10	1	38%	3.3	19.9%	5.5%	14.4%	0.6%	2.28	2.43	—
2021	20	ROK MLE	ACL Dodgers	15	0	17	78	20	5	1	0%	1.2	17.4%	8.0%	9.4%	1.7%	3.12	3.56	—
2021	20	ROK RAW	ACL Dodgers	15	0	17	78	20	5	1	0%	1.2	25.6%	6.4%	19.2%	1.3%	3.12	2.41	—
2022	21	MIX MLE	2 levels	37	0	60	273	78	33	4	0%	1.6	21.1%	14.4%	6.7%	1.5%	4.22	3.99	—
2022	21	MIX RAW	2 levels	37	0	60	273	78	33	4	0%	1.6	28.6%	12.1%	16.5%	1.5%	4.22	3.02	—
2023	22	A+ MLE	Great Lakes Loons	45	0	48	221	61	22	5	0%	1.1	21.3%	11.4%	9.8%	3.0%	3.97	4.39	—
2023	22	A+ RAW	Great Lakes Loons	45	0	48	221	61	22	5	0%	1.1	27.6%	10.0%	17.6%	2.3%	3.97	3.29	—
2024	23	MIX MLE	2 levels	41	0	55	239	55	35	1	0%	1.3	18.4%	16.3%	2.0%	0.5%	3.60	3.88	—
2024	23	MIX MLE	2 levels	41	0	55	239	55	35	1	0%	1.3	18.4%	16.3%	2.0%	0.5%	3.60	3.88	—
2024	23	MIX RAW	2 levels	41	0	55	239	55	35	1	0%	1.3	23.0%	14.6%	8.4%	0.4%	3.60	3.25	—
2025	24	AA MLE	Tulsa Drillers	42	0	64	280	65	48	3	0%	1.5	18.8%	18.9%	-0.1%	1.3%	3.38	4.64	—
2025	24	AA MLE	Tulsa Drillers	42	0	64	280	65	48	3	0%	1.5	18.8%	18.9%	-0.1%	1.3%	3.38	4.64	—
2025	24	AA RAW	Tulsa Drillers	42	0	64	280	65	48	3	0%	1.5	23.2%	17.1%	6.1%	1.1%	3.38	3.93	—
2026	25	AA MLE	Tulsa Drillers	50	1	69	305	80	33	8	2%	1.4	21.2%	11.9%	9.3%	3.1%	4.67	4.54	—
2026	25	AA MLE	Tulsa Drillers	50	1	69	305	80	33	8	2%	1.4	21.2%	11.9%	9.3%	3.1%	4.67	4.54	—
2026	25	AA RAW	Tulsa Drillers	50	1	69	305	80	33	8	2%	1.4	26.2%	10.8%	15.4%	2.6%	4.67	3.72	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	LAD	67	0	70	296	59	49	8	0%	1.0	19.8%	16.7%	3.1%	2.8%	5.44	5.44	-0.7
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	LAD	66	0	69	291	59	47	8	0%	1.0	20.2%	16.0%	4.2%	2.9%	5.36	5.37	-0.6
2029	28	MLB MLE	LAD	64	0	67	282	57	44	8	0%	1.0	20.3%	15.7%	4.6%	3.0%	5.34	5.38	-0.6
2030	29	MLB MLE	LAD	61	0	64	270	54	42	8	0%	1.0	20.2%	15.6%	4.7%	3.1%	5.39	5.45	-0.6
2028	27	MLB CTX	LAD	25	0	26	110	22	18	3	0%	1.0	20.2%	16.0%	4.2%	2.9%	5.36	5.37	-0.2
2029	28	MLB CTX	LAD	38	0	40	169	34	26	5	0%	1.1	20.3%	15.7%	4.6%	3.0%	5.34	5.38	-0.4
2030	29	MLB CTX	LAD	43	0	45	190	38	30	6	0%	1.0	20.2%	15.6%	4.7%	3.1%	5.39	5.45	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		106	0	111	468	95	74	14	0%	1.0	20.2%	15.7%	4.5%	3.0%	5.37	5.03	-0.6
/ 200 IP	—	RAW		190	0	200	844	171	133	25	0%	1.1	20.2%	15.7%	4.5%	3.0%	5.37	5.03	-1.1
Career	—	MLE		243	6	356	1577	304	212	28	2%	1.5	19.3%	13.4%	5.9%	1.8%	3.74	4.15	-2.0
/ 200 IP	—	MLE		136	3	200	885	171	119	16	2%	1.5	19.3%	13.4%	5.9%	1.8%	3.74	4.15	-2.0

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
Christian Suarez (OGILVIE)	—	—	5.44	19.8%	16.7%	2.8%	—	5.40	20.2%	4.5%	200	-0.04	—	—	—
Fabian Williamson L 2015 · 5.31 FIP	26	SU	5.31	17.4%	17.9%	2.6%	.289	4.16	20.0%	8.2%	77	-1.15	3.39	154	88
Matt Purke L 2016 · 4.25 FIP	26	SU	4.25	19.1%	13.9%	1.8%	.284	3.54	21.4%	8.8%	112	-0.71	3.01	226	86
Nick Lee L 2016 · 4.96 FIP	25	SU	4.96	19.0%	19.7%	1.8%	.286	—	—	—	—	—	3.77	102	84
Brian Marconi L 2022 · 5.02 FIP	25	SU	5.02	20.3%	18.2%	2.4%	.329	—	—	—	—	—	3.89	101	84
Seth Clark L 2024 · 5.66 FIP	24	SU	5.66	18.9%	16.2%	3.9%	.267	4.56	17.7%	-2.7%	32	-1.10	4.23	128	83
Stephen Randolph L 2003 · 4.83 FIP	29	SU	4.83	18.5%	14.8%	2.6%	.247	5.69	15.8%	-3.0%	82	+0.86	4.83	155	83
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	83
Ty Madrigal L 2022 · 5.75 FIP	25	SU	5.75	17.6%	15.2%	4.0%	.304	—	—	—	—	—	4.56	107	82
Brian Moran L 2015 · 4.50 FIP	26	SU	4.50	17.7%	14.1%	2.0%	.318	2.74	25.0%	17.4%	80	-1.76	1.80	421	82
Trey Jeans L 2022 · 5.09 FIP	26	SU	5.09	22.3%	16.5%	3.3%	.291	—	—	—	—	—	2.74	111	82
Jake Rice L 2023 · 4.41 FIP	26	SU	4.41	23.4%	18.1%	1.8%	.305	4.87	19.0%	4.3%	103	+0.46	3.16	199	82
Sean Keselica L 2019 · 4.47 FIP	26	SU	4.47	18.0%	14.5%	1.9%	.314	—	—	—	—	—	2.79	235	81
Chandler Jozwiak L 2024 · 5.33 FIP	25	SU	5.33	16.9%	15.3%	3.1%	.259	—	—	—	—	—	2.86	161	81
Justin Wright L 2016 · 4.42 FIP	26	SU	4.42	14.7%	13.7%	1.5%	.302	—	—	—	—	—	2.28	109	79
John Bale L 2001 · 4.41 FIP	27	SU	4.41	18.6%	15.0%	1.8%	.219	4.12	19.0%	13.9%	46	-0.29	2.49	168	79
Davis Schwab L 2022 · 5.70 FIP	25	SU	5.70	20.3%	18.7%	3.5%	.352	—	—	—	—	—	4.46	114	79
Adam McCreery L 2019 · 4.29 FIP	26	SU	4.29	20.7%	14.5%	2.0%	.323	—	—	—	—	—	3.12	207	79
John Kilichowski L 2018 · 4.99 FIP	24	SU	4.99	17.6%	16.2%	2.4%	.336	—	—	—	—	—	4.10	115	78
Matt Mikulski L 2024 · 6.18 FIP	25	SU	6.18	15.3%	17.1%	4.0%	.275	4.98	19.5%	-8.3%	18	-1.20	4.92	223	78
Renyel Pinto L 2008 · 4.82 FIP	26	SU	4.82	19.7%	13.0%	3.2%	.236	3.99	21.0%	6.3%	78	-0.83	3.58	231	78

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	1.3	67	20.1%	16.0%	1.13	5.38
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Dave Jolly ('53-'57, -0 WAR*)	1.5	58	20.2%*	14.3%*	0.91*	4.33*