Alejandro Mateo — OGILVIE

Alejandro Mateo P Charlotte Knights

Age 32 RHP 6'2" / 210 lbs AAA

2026 ROS PROJECTION0 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 123115vR 106

ERA4.71

FIP4.71

K%21.3%

BB%10.4%

K-BB%11.0%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Contract

Scouting Grades

K†5050

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)
2016	22	MIX MLE	2 levels	7	0	11	48	9	5	0	0%	1.6	18.8%	10.4%	8.3%	0.0%	4.76	2.84	—
2016	22	MIX RAW	2 levels	7	0	11	48	9	5	0	0%	1.6	18.8%	10.4%	8.3%	0.0%	4.76	2.84	—
2017	23	A MLE	Greensboro Grasshoppers	10	3	22	103	29	6	7	30%	2.2	20.8%	6.9%	14.0%	7.6%	7.25	6.36	—
2017	23	A RAW	Greensboro Grasshoppers	10	3	22	103	29	6	7	30%	2.2	28.2%	5.8%	22.3%	6.8%	7.25	5.38	—
2018	24	A+ MLE	Jupiter Hammerheads	35	0	71	294	72	25	6	0%	2.0	18.9%	9.8%	9.1%	3.0%	3.31	4.39	—
2018	24	A+ RAW	Jupiter Hammerheads	35	0	71	294	72	25	6	0%	2.0	24.5%	8.5%	16.0%	2.0%	3.31	3.23	—
2019	25	MIX MLE	2 levels	42	0	59	247	65	22	7	0%	1.4	20.6%	10.0%	10.6%	4.2%	3.53	4.93	—
2019	25	MIX RAW	2 levels	42	0	59	247	65	22	7	0%	1.4	26.3%	8.9%	17.4%	2.8%	3.53	3.56	—
2022	28	MIX MLE	3 levels	22	2	26	113	29	13	1	9%	1.2	21.0%	10.5%	10.5%	2.4%	1.73	3.96	—
2022	28	MIX RAW	3 levels	22	2	26	113	29	13	1	9%	1.2	25.7%	11.5%	14.2%	0.9%	1.73	2.87	—
2023	29	MIX MLE	2 levels	45	1	55	260	68	32	11	2%	1.2	19.3%	11.9%	7.4%	4.8%	6.22	5.61	—
2023	29	MIX MLE	2 levels	45	1	55	260	68	32	11	2%	1.2	19.3%	11.9%	7.4%	4.8%	6.22	5.61	—
2023	29	MIX RAW	2 levels	45	1	55	260	68	32	11	2%	1.2	26.2%	12.3%	13.8%	4.2%	6.22	4.97	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	CWS	2	0	2	8	2	1	0	0%	1.0	21.3%	10.4%	11.0%	3.1%	4.71	4.71	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	CWS	21	0	22	93	20	10	3	0%	1.1	21.1%	10.7%	10.3%	3.4%	4.82	4.92	-0.1
2027	33	MLB CTX	CWS	8	0	8	34	7	4	1	0%	1.0	21.1%	10.7%	10.3%	3.4%	4.82	4.92	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	8	34	7	4	1	0%	1.0	21.1%	10.7%	10.3%	3.4%	4.82	4.54	+0.0
/ 200 IP	—	RAW		190	0	200	844	172	98	25	0%	1.1	21.1%	10.7%	10.3%	3.4%	4.82	4.54	+0.0
Career	—	MLE		161	6	244	1065	211	108	42	4%	1.5	19.8%	10.2%	9.6%	4.0%	4.28	4.89	-0.1
/ 200 IP	—	MLE		132	5	200	873	173	89	35	4%	1.5	19.8%	10.2%	9.6%	4.0%	4.28	4.89	-0.9

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
Alejandro Mateo (OGILVIE)	—	—	4.71	21.3%	10.4%	3.1%	—	4.92	21.1%	10.3%	22	+0.21	—	—	—
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	93
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	84
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	84
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	83
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	83
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	82
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	80
Clayton Mortensen R 2017 · 4.59 FIP	32	SU	4.59	23.2%	14.2%	3.0%	.258	—	—	—	—	—	4.31	221	80
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	80
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	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	79
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	78
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	77
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
Erik Davis R 2018 · 3.52 FIP	31	SU	3.52	17.4%	8.9%	1.4%	.317	—	—	—	—	—	3.05	227	76
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	76
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	3.62	224	76
Tanner Scheppers R 2017 · 4.86 FIP	30	SU	4.86	15.7%	6.7%	4.1%	.301	—	—	—	—	—	4.37	101	75
Felipe Arredondo R 2019 · 4.65 FIP	32	SU	4.65	16.2%	7.1%	3.7%	.272	—	—	—	—	—	3.92	337	75
Jumbo Diaz R 2016 · 3.85 FIP	32	SU	3.85	22.3%	9.2%	2.7%	.247	3.28	23.0%	13.8%	141	-0.57	2.80	284	75