Andrew Wantz — OGILVIE

Andrew Wantz P Iowa Cubs

Age 30 RHP 6'4" / 235 lbs AAA

2026 ROS PROJECTION71 act + 4 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 115107vR 99

ERA4.29

FIP4.57

K%24.7%

BB%10.4%

K-BB%14.3%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 75 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6060

CTRL4545

CMD5555

K†6060

Statcast Percentiles

FB Velo

p4394.0

Whiff%

p5626.3%

p3920.6%

xwOBA vs

p500.312

SL (29%)

CT (23%)

SI (29%)

FB-1.5 (49%)

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)
2018	22	MIX MLE	2 levels	18	0	23	99	47	15	2	0%	1.3	35.5%	19.4%	16.1%	3.9%	2.74	4.72	—
2018	22	MIX RAW	2 levels	18	0	23	99	47	15	2	0%	1.3	47.5%	15.2%	32.3%	2.0%	2.74	2.10	—
2019	23	MIX MLE	2 levels	24	18	96	435	112	43	16	75%	4.0	20.3%	11.1%	9.3%	4.4%	5.34	5.19	—
2019	23	MIX RAW	2 levels	24	18	96	435	112	43	16	75%	4.0	25.7%	9.9%	15.9%	3.7%	5.34	4.28	—
2021	25	MIX MLE	2 levels	33	5	58	236	68	16	7	15%	1.7	27.3%	6.9%	20.4%	3.1%	3.28	3.38	+0.8
2021	25	MIX RAW	2 levels	33	5	58	236	68	16	7	15%	1.7	28.8%	6.8%	22.0%	3.0%	3.28	3.15	+1.0
2022	26	MIX MLE	2 levels	52	1	66	264	69	24	11	2%	1.3	25.4%	9.1%	16.2%	4.2%	3.14	4.45	+0.1
2022	26	MIX RAW	2 levels	52	1	66	264	69	24	11	2%	1.3	26.1%	9.1%	17.0%	4.2%	3.14	4.27	+0.2
2023	27	MIX MLE	2 levels	49	3	65	271	62	27	9	6%	1.3	21.1%	9.5%	11.6%	3.5%	4.18	4.43	+0.1
2023	27	MIX MLE	2 levels	49	3	65	271	62	27	9	6%	1.3	21.1%	9.5%	11.6%	3.5%	4.18	4.43	+0.1
2023	27	MIX RAW	2 levels	49	3	65	271	62	27	9	6%	1.3	22.9%	10.0%	12.9%	3.3%	4.18	4.24	+0.2
2024	28	MIX MLE	2 levels	8	6	25	113	37	16	5	75%	3.1	26.4%	12.6%	13.8%	4.6%	6.20	5.02	-0.0
2024	28	MIX MLE	2 levels	8	6	25	113	37	16	5	75%	3.1	26.4%	12.6%	13.8%	4.6%	6.20	5.02	-0.0
2024	28	MIX RAW	2 levels	8	6	25	113	37	16	5	75%	3.1	32.7%	14.2%	18.6%	4.4%	6.20	4.68	+0.1
2025	29	MIX MLE	2 levels	12	0	13	51	15	8	0	0%	1.1	29.4%	15.7%	13.7%	0.0%	0.69	2.60	—
2025	29	MIX MLE	2 levels	12	0	13	51	15	8	0	0%	1.1	29.4%	15.7%	13.7%	0.0%	0.69	2.60	—
2025	29	MIX RAW	2 levels	12	0	13	51	15	8	0	0%	1.1	29.4%	15.7%	13.7%	0.0%	0.69	2.64	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			93	4	122	510	127	49	19	4%	1.3	24.9%	9.6%	15.3%	3.7%	4.20	4.25	+0.4
▸ 2026 season
YTD	30	MLB MLE	Chicago Cubs	33	9	71	336	69	43	6	27%	2.2	17.9%	11.4%	6.5%	1.7%	5.58	3.99	—
YTD	30	MLB MLE	Chicago Cubs	33	9	71	336	69	43	6	27%	2.2	17.9%	11.4%	6.5%	1.7%	5.58	3.99	—
▸ 2026 season — so far · projected rest · full
2026	30	AAA RAW	CHC	31	9	67	316	68	40	5	29%	2.2	21.5%	12.7%	8.9%	1.6%	5.08	3.75	—
2026	30	MLB RAW	CHC	2	0	4	20	1	3	1	0%	1.9	5.0%	15.0%	-10.0%	5.0%	14.73	7.32	—
SO FAR	30	MLB RAW	CHC	2	0	4	20	1	3	1	0%	1.9	5.0%	15.0%	-10.0%	5.0%	14.73	7.32	—
ROS	30	MLB MLE	CHC	4	0	4	18	5	2	1	0%	1.1	24.7%	10.4%	14.3%	3.4%	4.29	4.57	-0.0
ROS	30	MLB CTX	CHC	4	0	4	17	4	2	1	0%	1.0	24.7%	10.4%	14.3%	3.4%	4.29	4.57	-0.0
2026 TOT	30	MLB MLE	CHC	—	—	75	354	74	45	7	—	—	20.8%	12.7%	8.1%	1.9%	5.50	4.02	+0.6
FULL	30	MLB A+C	CHC	—	—	8	34	74	45	7	—	—	216.5%	132.2%	84.3%	19.5%	51.54	12.27	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	CHC	46	0	48	205	47	23	7	0%	1.1	22.7%	11.0%	11.7%	3.7%	4.76	4.97	-0.2
2028	32	MLB MLE	CHC	43	0	45	190	42	22	7	0%	1.0	21.9%	11.4%	10.5%	3.9%	5.04	5.22	-0.3
2027	31	MLB CTX	CHC	44	0	46	194	44	21	7	0%	1.0	22.7%	11.0%	11.7%	3.7%	4.76	4.97	-0.2
2028	32	MLB CTX	CHC	41	0	43	182	40	21	7	0%	1.0	21.9%	11.4%	10.5%	3.9%	5.04	5.22	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		182	4	215	903	215	93	34	2%	1.2	23.8%	10.3%	13.5%	3.7%	4.49	4.45	+0.3
/ 200 IP	—	RAW		169	4	200	840	200	86	32	2%	1.2	23.8%	10.3%	13.5%	3.7%	4.49	4.45	+0.2
Career	—	MLE		229	42	416	1805	417	194	62	18%	1.8	23.1%	10.8%	12.3%	3.4%	4.33	4.40	-0.2
/ 200 IP	—	MLE		110	20	200	868	200	93	30	18%	1.8	23.1%	10.8%	12.3%	3.4%	4.33	4.40	-0.1

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
Andrew Wantz (OGILVIE)	—	—	4.57	24.7%	10.4%	3.4%	—	5.09	22.4%	11.1%	93	+0.52	—	—	—
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	76
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	75
Bud Norris R 2015 · 4.68 FIP	30	SW	4.68	18.8%	8.2%	3.9%	.327	3.78	24.2%	15.5%	233	-0.90	3.51	316	75
Jonathan Broxton R 2015 · 3.67 FIP	31	SU	3.67	24.5%	8.2%	2.9%	.325	3.89	21.7%	13.5%	76	+0.22	3.67	137	75
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	74
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	74
Daniel Hudson R 2017 · 4.07 FIP	30	SU	4.07	24.4%	11.8%	2.8%	.301	4.01	24.1%	15.2%	140	-0.06	1.68	468	74
AJ Ramos R 2017 · 3.86 FIP	30	SU	3.86	27.9%	12.8%	2.7%	.288	5.02	25.0%	8.0%	20	+1.16	2.55	266	73
David Hernandez R 2015 · 4.40 FIP	30	SU	4.40	22.9%	7.6%	4.1%	.287	3.17	24.9%	18.4%	192	-1.23	2.60	268	73
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	73
Daniel Robert R 2023 · 3.51 FIP	28	SU	3.51	21.9%	10.7%	1.7%	.310	3.09	24.6%	16.4%	87	-0.42	2.32	186	72
Blake Smith R 2016 · 3.59 FIP	28	SU	3.59	22.4%	8.6%	2.4%	.307	—	—	—	—	—	3.17	124	72
Joakim Soria R 2015 · 3.70 FIP	31	SU	3.70	23.5%	6.6%	3.2%	.258	2.91	26.6%	18.9%	183	-0.79	2.01	380	71
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.55	21.2%	-0.6%	51	+0.46	4.09	130	71
Blake Wood R 2016 · 3.76 FIP	30	SU	3.76	24.5%	10.6%	2.5%	.307	3.44	25.3%	16.0%	74	-0.32	2.92	210	71
Alexi Ogando R 2015 · 5.11 FIP	31	SU	5.11	19.1%	9.4%	4.4%	.253	3.95	17.2%	8.0%	67	-1.16	3.79	132	71
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	3.62	224	71
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	70
Kevin Jepsen R 2015 · 3.47 FIP	31	SU	3.47	20.7%	9.1%	1.8%	.241	5.85	16.9%	7.2%	90	+2.38	3.47	160	70
Tommy Nance R 2021 · 3.96 FIP	30	SU	3.96	24.9%	8.8%	3.4%	.228	3.43	23.9%	16.6%	99	-0.53	2.12	354	70

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	0.7	48	23.2%	10.9%	1.41	4.68
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58