Zac Kristofak — OGILVIE

Zac Kristofak P Salt Lake Bees

Age 28 RHP 5'9" / 189 lbs AAA

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 123115vR 107

ERA4.73

FIP4.73

K%16.6%

BB%8.0%

K-BB%8.6%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Arsenal · Contract

Scouting Grades

K†4040

CH (15%)

CU (5%)

FB (44%)

SL-0.6 (36%)

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)
2021	23	A+ MLE	Tri-City Dust Devils	38	0	44	199	46	19	3	0%	1.2	17.8%	11.0%	6.8%	2.0%	6.14	4.11	—
2021	23	A+ RAW	Tri-City Dust Devils	38	0	44	199	46	19	3	0%	1.2	23.1%	9.5%	13.6%	1.5%	6.14	3.19	—
2022	24	A+ MLE	Tri-City Dust Devils	34	9	64	268	60	19	6	26%	1.9	17.2%	8.2%	9.1%	3.4%	3.82	4.56	—
2022	24	A+ RAW	Tri-City Dust Devils	34	9	64	268	60	19	6	26%	1.9	22.4%	7.1%	15.3%	2.2%	3.82	3.34	—
2023	25	AA MLE	Rocket City Trash Pandas	16	6	42	173	33	14	3	38%	2.6	15.5%	8.9%	6.5%	2.1%	4.07	4.10	—
2023	25	AA MLE	Rocket City Trash Pandas	16	6	42	173	33	14	3	38%	2.6	15.5%	8.9%	6.5%	2.1%	4.07	4.10	—
2023	25	AA RAW	Rocket City Trash Pandas	16	6	42	173	33	14	3	38%	2.6	19.1%	8.1%	11.0%	1.7%	4.07	3.46	—
2024	26	MIX MLE	2 levels	7	3	21	88	12	7	2	43%	3.0	10.8%	5.8%	4.9%	3.2%	3.05	4.70	-0.0
2024	26	MIX MLE	2 levels	7	3	21	88	12	7	2	43%	3.0	10.8%	5.8%	4.9%	3.2%	3.05	4.70	-0.0
2024	26	MIX RAW	2 levels	7	3	21	88	12	7	2	43%	3.0	13.6%	8.0%	5.7%	2.3%	3.05	4.21	+0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			1	0	2	11	2	2	0	0%	2.0	18.2%	18.2%	0.0%	0.0%	0.00	4.10	+0.0
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	28	MLB	LAA	1	0	1	4	1	0	0	0%	1.0	16.6%	8.0%	8.6%	3.0%	4.73	4.73	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	LAA	19	0	20	84	14	7	3	0%	1.1	17.0%	8.3%	8.7%	3.1%	4.77	4.82	-0.1
2027	29	MLB CTX	LAA	7	0	7	30	5	2	1	0%	1.0	17.0%	8.3%	8.7%	3.1%	4.77	4.82	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	42	7	5	1	0%	1.2	17.3%	10.9%	6.4%	2.3%	3.75	4.29	+0.0
/ 200 IP	—	RAW		171	0	200	899	150	107	21	0%	1.2	17.3%	10.9%	6.4%	2.3%	3.75	4.29	+0.6
Career	—	MLE		95	18	170	728	118	64	20	19%	1.8	16.2%	8.8%	7.4%	2.7%	4.39	4.35	-0.1
/ 200 IP	—	MLE		112	21	200	855	138	75	23	19%	1.8	16.2%	8.8%	7.4%	2.7%	4.39	4.35	-0.5

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
Zac Kristofak (OGILVIE)	—	—	4.73	16.6%	8.0%	3.0%	—	4.82	17.0%	8.7%	20	+0.09	—	—	—
Rob Scahill R 2015 · 3.91 FIP	28	SU	3.91	16.9%	7.7%	2.3%	.288	3.34	17.9%	10.1%	171	-0.57	3.06	201	81
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	78
Ryan Cook R 2015 · 4.73 FIP	28	SU	4.73	16.5%	9.9%	3.2%	.297	3.96	25.1%	14.3%	50	-0.77	3.96	102	78
Ryan Doolittle R 2016 · 4.38 FIP	28	SU	4.38	13.9%	7.1%	2.8%	.269	—	—	—	—	—	4.03	101	77
Jose Casilla R 2016 · 4.65 FIP	27	SU	4.65	13.0%	8.0%	3.0%	.314	—	—	—	—	—	3.06	104	76
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	75
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	75
Anthony Bass R 2015 · 3.56 FIP	27	SU	3.56	16.5%	7.0%	1.8%	.300	3.43	21.6%	14.2%	123	-0.13	2.93	432	75
Jhan Mariñez R 2017 · 3.97 FIP	28	SU	3.97	17.2%	8.8%	2.2%	.309	4.09	21.2%	13.3%	48	+0.12	3.16	253	75
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	75
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	75
Ramon Delgado R 2016 · 4.60 FIP	29	SW	4.60	13.8%	5.9%	3.5%	.332	4.31	11.2%	7.2%	74	-0.29	4.31	135	74
Reinier Roibal R 2016 · 4.37 FIP	27	SW	4.37	16.9%	7.1%	3.3%	.371	4.91	17.5%	5.7%	37	+0.54	3.11	133	74
Drew Hayes R 2016 · 3.99 FIP	28	SU	3.99	13.8%	10.1%	1.4%	.302	—	—	—	—	—	3.35	117	74
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	74
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	74
Cory Burns R 2015 · 3.58 FIP	27	SU	3.58	14.7%	8.0%	1.3%	.368	2.83	22.3%	11.2%	54	-0.75	2.83	108	73
Tyson Perez R 2017 · 4.75 FIP	27	SU	4.75	12.2%	5.9%	3.5%	.338	5.69	14.0%	6.8%	32	+0.94	3.32	121	73
Mike Adams R 2022 · 5.36 FIP	27	SU	5.36	17.1%	11.2%	4.2%	.326	—	—	—	—	—	3.65	109	73
Tanner Scheppers R 2015 · 4.37 FIP	28	SU	4.37	17.7%	11.2%	2.5%	.263	4.86	15.7%	9.0%	48	+0.49	4.37	101	73