Christian Suarez

Christian Suarez P Tulsa Drillers

Age 25 LHP 5'11" / 160 lbs AA

2026 ROS PROJECTION69 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 126134vR 142

ERA5.72

FIP5.72

K%18.3%

BB%19.6%

K-BB%-1.3%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 75 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL2020

CMD3535

K†4545

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)
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+ 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 season
YTD	25	AA MLE	Tulsa Drillers	49	1	69	301	80	32	8	2%	1.4	21.5%	11.7%	9.8%	3.2%	4.57	4.51	—
YTD	25	AA MLE	Tulsa Drillers	49	1	69	301	80	32	8	2%	1.4	21.5%	11.7%	9.8%	3.2%	4.57	4.51	—
▸ 2026 season — so far · projected rest · full
2026	25	AA RAW	LAD	49	1	69	301	80	32	8	2%	1.4	26.6%	10.6%	15.9%	2.7%	4.57	3.66	—
ROS	25	MLB MLE	LAD	6	0	6	27	5	5	1	0%	1.1	18.3%	19.6%	-1.3%	2.4%	5.72	5.72	-0.1
2026 TOT	25	MLB MLE	LAD	—	—	75	328	85	37	9	—	—	25.9%	11.4%	14.5%	2.6%	4.66	4.61	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	LAD	67	0	70	296	56	55	7	0%	1.0	19.1%	18.6%	0.5%	2.4%	5.57	5.56	-0.8
2028	27	MLB MLE	LAD	66	0	69	291	56	52	7	0%	1.0	19.4%	17.9%	1.4%	2.5%	5.50	5.51	-0.7
2029	28	MLB MLE	LAD	64	0	67	282	55	50	8	0%	1.0	19.4%	17.6%	1.8%	2.7%	5.49	5.53	-0.7
2030	29	MLB MLE	LAD	61	0	64	270	52	48	8	0%	1.0	19.3%	17.6%	1.7%	2.8%	5.56	5.63	-0.8
2027	26	MLB CTX	LAD	30	0	31	131	25	24	3	0%	1.0	19.1%	18.6%	0.5%	2.4%	5.57	5.56	-0.3
2028	27	MLB CTX	LAD	42	0	44	186	36	33	5	0%	1.0	19.4%	17.9%	1.4%	2.5%	5.50	5.51	-0.5
2029	28	MLB CTX	LAD	49	0	51	215	42	38	6	0%	1.0	19.4%	17.6%	1.8%	2.7%	5.49	5.53	-0.6
2030	29	MLB CTX	LAD	50	0	52	220	42	39	6	0%	1.0	19.3%	17.6%	1.7%	2.8%	5.56	5.63	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		169	0	177	748	145	134	20	0%	1.0	19.3%	17.9%	1.4%	2.6%	5.53	5.18	-1.3
/ 200 IP	—	RAW		190	0	200	844	164	151	23	0%	1.1	19.3%	17.9%	1.4%	2.6%	5.53	5.18	-1.5
Career	—	MLE		242	6	356	1573	304	210	28	2%	1.5	19.3%	13.4%	5.9%	1.8%	3.72	4.14	-3.2
/ 200 IP	—	MLE		136	3	200	884	171	118	16	2%	1.5	19.3%	13.4%	5.9%	1.8%	3.72	4.14	-2.3

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)	—	—	5.72	18.3%	19.6%	2.4%	—	5.53	19.3%	1.2%	206	-0.19	—	—	—
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	91
Nick Lee L 2016 · 4.96 FIP	25	SU	4.96	19.0%	19.7%	1.8%	.286	—	—	—	—	—	3.77	102	90
Chris Reed L 2015 · 4.92 FIP	25	SU	4.92	15.4%	14.5%	2.3%	.284	4.67	16.4%	6.6%	81	-0.25	4.67	137	85
Brian Marconi L 2022 · 5.02 FIP	25	SU	5.02	20.3%	18.2%	2.4%	.329	—	—	—	—	—	3.89	101	85
Gil Luna L 2023 · 5.37 FIP	24	SU	5.37	22.5%	24.5%	1.9%	.303	4.95	19.7%	-6.0%	73	-0.42	4.57	113	84
Chris Nunn L 2015 · 5.49 FIP	24	SU	5.49	13.9%	16.8%	2.6%	.350	3.92	19.3%	6.7%	37	-1.57	3.30	180	83
Jackson Lancaster L 2023 · 5.14 FIP	24	SU	5.14	18.9%	17.6%	2.6%	.315	5.15	19.7%	6.8%	122	+0.01	4.15	142	82
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	82
Sean Keselica L 2018 · 5.33 FIP	25	SU	5.33	15.9%	18.5%	2.2%	.226	4.47	18.0%	3.5%	52	-0.86	2.79	235	82
John Kilichowski L 2018 · 4.99 FIP	24	SU	4.99	17.6%	16.2%	2.4%	.336	—	—	—	—	—	4.10	115	81
Davis Schwab L 2022 · 5.70 FIP	25	SU	5.70	20.3%	18.7%	3.5%	.352	—	—	—	—	—	4.46	114	80
Ty Madrigal L 2022 · 5.75 FIP	25	SU	5.75	17.6%	15.2%	4.0%	.304	—	—	—	—	—	4.56	107	80
R.C. Orlan L 2016 · 5.25 FIP	25	SU	5.25	14.8%	20.2%	1.5%	.243	4.48	18.2%	9.9%	81	-0.77	1.71	206	79
Julian Bosnic L 2023 · 5.72 FIP	23	SU	5.72	22.5%	21.0%	3.4%	.206	4.74	19.1%	-0.1%	90	-0.98	4.31	136	78
Juan Pichardo L 2021 · 4.83 FIP	23	SU	4.83	17.7%	17.1%	1.9%	.301	—	—	—	—	—	2.13	103	78
Aaron Brown L 2017 · 4.96 FIP	25	SU	4.96	15.0%	17.6%	1.6%	.348	4.38	19.8%	5.2%	127	-0.58	4.04	269	78
Joey DeNato L 2017 · 4.76 FIP	25	SU	4.76	12.3%	15.1%	1.4%	.271	—	—	—	—	—	2.90	167	78
Nicolo Pinazzi L 2023 · 6.79 FIP	23	SU	6.79	19.3%	26.9%	3.5%	.307	2.58	30.1%	16.3%	62	-4.21	2.58	155	77
Matt Mikulski L 2023 · 6.17 FIP	24	SW	6.17	16.4%	18.6%	3.8%	.303	5.90	16.3%	-3.3%	78	-0.27	4.92	223	76
Fred Schlichtholz L 2021 · 4.63 FIP	25	SU	4.63	15.5%	13.4%	2.1%	.343	3.49	22.3%	16.4%	35	-1.14	3.49	175	76

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	1.7	68	19.1%	18.3%	0.99	5.57
Touki Toussaint ('24)	1.4	40	23.1%	14.1%	1.25	5.39
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Daniel Bard ('23)	1.0	50	25.1%	13.5%	0.81	3.82
Miguel Castro ('23)	2.1	59	20.8%	12.0%	1.04	3.99
John Gant ('21)	1.7	85	20.1%	12.5%	0.79	3.91