Max Kranick

P Washington Nationals

Age 30 RHP 6'3" / 220 lbs MLB

Overview

MLBRP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	27	MIX3 levels	45	8	71	3.82	4.47	21.4%	7.7%	—	K 17.5% · BB 6.6% · FIP 5.08
2025	28	MIX2 levels	26	0	39	3.89	3.94	18.9%	3.1%	0.3	K 16.9% · BB 3.4% · FIP 3.96
2026	29	MIX5 levels	29	2	35	6.94	5.39	15.8%	10.9%	-0.3	K 11.7% · BB 13.8% · FIP 6.20
2027PROJ	30	MLBWSH	50	0	53	5.04	5.01	15.9%	8.7%	-0.3
2028PROJ91% MLB	31	MLBWSH	27	0	28	5.09	5.17	15.9%	9.1%	-0.2
2029PROJ92% MLB	32	MLBWSH	15	0	16	5.22	5.36	15.7%	9.5%	-0.1

Last 3 seasons WAR -0.1 · Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo62

K%10

xwOBA vs10

Form8.56 ERA (proj 5.04) · K 11.6% (proj 15.9%) · BB 13.0% (proj 8.7%) ▼▼ last 90d · 14 IP through Oct 27

CompsEder Llamas (age 30) · Rodolfo Aguirre (age 30) · Francisco Cordova (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128120vR 112

ERA5.04

FIP5.01

K%15.9%

BB%8.7%

K-BB%7.2%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Statcast · Contract

Scouting Grades

STUF4040

CTRL6565

CMD4545

K†3030

Statcast Percentiles

FB Velo

p6295.4

Whiff%

p3623.3%

p1011.7%

xwOBA vs

p100.369

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 the standard WAR scale.

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)
2016	19	ROK MLE	GCL Pirates	9	6	33	130	21	4	1	67%	3.7	11.0%	3.8%	7.1%	1.1%	2.43	3.25	—
2016	19	ROK RAW	GCL Pirates	9	6	33	130	21	4	1	67%	3.7	16.2%	3.1%	13.1%	0.8%	2.43	2.59	—
2017	20	ROK MLE	Bristol Pirates	5	5	24	100	18	6	1	100%	4.9	12.2%	7.5%	4.7%	1.4%	1.11	3.78	—
2017	20	ROK RAW	Bristol Pirates	5	5	24	100	18	6	1	100%	4.9	18.0%	6.0%	12.0%	1.0%	1.11	2.89	—
2018	21	A MLE	West Virginia Power	17	16	78	322	77	18	7	94%	4.6	17.7%	6.6%	11.1%	2.4%	3.81	3.75	—
2018	21	A RAW	West Virginia Power	17	16	78	322	77	18	7	94%	4.6	23.9%	5.6%	18.3%	2.2%	3.81	2.98	—
2019	22	A+ MLE	Bradenton Marauders	20	20	109	451	78	30	11	100%	5.5	13.3%	7.6%	5.7%	2.9%	3.79	4.51	—
2019	22	A+ RAW	Bradenton Marauders	20	20	109	451	78	30	11	100%	5.5	17.3%	6.7%	10.6%	2.4%	3.79	3.80	—
2021	24	MIX MLE	3 levels	24	24	109	475	93	34	12	100%	4.5	17.8%	7.4%	10.4%	2.7%	4.89	4.02	+1.8
2021	24	MIX RAW	3 levels	24	24	109	475	93	34	12	100%	4.5	19.6%	7.2%	12.4%	2.5%	4.89	3.76	+2.1
2022	25	MIX MLE	3 levels	6	3	14	55	11	5	3	50%	2.3	20.0%	9.1%	10.9%	5.5%	1.98	5.56	-0.0
2022	25	MIX RAW	3 levels	6	3	14	55	11	5	3	50%	2.3	20.0%	9.1%	10.9%	5.5%	1.98	5.44	-0.0
2023	26	MIX MLE	2 levels	9	9	21	80	14	9	2	100%	2.3	17.2%	9.0%	8.2%	1.7%	4.35	3.71	—
2023	26	MIX RAW	2 levels	9	9	21	80	14	9	2	100%	2.3	17.5%	11.2%	6.2%	2.5%	4.35	4.31	—
2024	27	MIX MLE	3 levels	45	8	71	299	64	23	12	18%	1.6	17.5%	6.6%	11.0%	4.8%	3.82	5.08	—
2024	27	MIX MLE	3 levels	45	8	71	299	64	23	12	18%	1.6	17.5%	6.6%	11.0%	4.8%	3.82	5.08	—
2024	27	MIX RAW	3 levels	45	8	71	299	64	23	12	18%	1.6	21.4%	7.7%	13.7%	4.0%	3.82	4.47	—
2025	28	MIX MLE	2 levels	26	0	39	159	30	5	6	0%	1.5	16.9%	3.4%	13.5%	3.4%	3.89	3.96	+0.3
2025	28	MIX MLE	2 levels	26	0	39	159	30	5	6	0%	1.5	16.9%	3.4%	13.5%	3.4%	3.89	3.96	+0.3
2025	28	MIX RAW	2 levels	26	0	39	159	30	5	6	0%	1.5	18.9%	3.1%	15.7%	3.8%	3.89	3.94	+0.3
2026	29	MIX MLE	5 levels	29	2	35	165	26	18	6	7%	1.2	11.7%	13.8%	-2.1%	4.3%	6.94	6.20	-0.7
2026	29	MIX MLE	5 levels	29	2	35	165	26	18	6	7%	1.2	11.7%	13.8%	-2.1%	4.3%	6.94	6.20	-0.7
2026	29	MIX RAW	5 levels	29	2	35	165	26	18	6	7%	1.2	15.8%	10.9%	4.8%	3.6%	6.94	5.39	-0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			52	9	99	443	72	37	13	17%	1.9	16.3%	8.4%	7.9%	2.9%	5.55	4.47	+0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	WSH	50	0	53	224	36	19	7	0%	1.1	15.9%	8.7%	7.2%	3.2%	5.04	5.01	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	WSH	29	0	30	128	20	12	4	0%	1.0	15.9%	9.1%	6.8%	3.4%	5.09	5.17	-0.2
2029	32	MLB MLE	WSH	16	0	17	71	11	7	3	0%	1.1	15.7%	9.5%	6.2%	3.6%	5.22	5.36	-0.2
2028	31	MLB CTX	WSH	27	0	28	118	19	11	4	0%	1.0	15.9%	9.1%	6.8%	3.4%	5.09	5.17	-0.2
2029	32	MLB CTX	WSH	15	0	16	68	11	6	2	0%	1.1	15.7%	9.5%	6.2%	3.6%	5.22	5.36	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		93	9	142	625	101	54	19	10%	1.5	16.1%	8.6%	7.5%	3.1%	5.42	4.53	+0.0
/ 200 IP	—	RAW		131	13	200	880	142	76	27	10%	1.5	16.1%	8.6%	7.5%	3.1%	5.42	4.53	+0.0
Career	—	MLE		190	93	533	2236	351	163	67	49%	2.8	15.7%	7.3%	8.4%	3.0%	4.00	4.35	-0.3
/ 200 IP	—	MLE		71	35	200	839	132	61	25	49%	2.8	15.7%	7.3%	8.4%	3.0%	4.00	4.35	-0.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAARochester Red Wings · 10 IPFIP 2.50 → 2.63 (+0.13)K% 21.4% → 18.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.43%	—	×0.860	18.43%
BB% (unintentional) /BF	9.52%	—	×0.900	8.57%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 2.50 → 2.63, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AAASyracuse Mets · 63 IPFIP 4.84 → 5.08 (+0.25)K% 20.4% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.38%	—	×0.860	17.53%
BB% (unintentional) /BF	7.31%	—	×0.900	6.58%
HR / BF /BF	4.62%	÷1.059	×1.100	4.79%

Result: FIP 4.84 → 5.08, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AABinghamton Rumble Ponies · 6 IPFIP 1.41 → 2.03 (+0.61)K% 32.0% → 25.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.00%	—	×0.810	25.92%
BB% (unintentional) /BF	8.00%	—	×1.100	8.80%
HR / BF /BF	0.00%	÷0.834	×1.200	0.00%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 67).

Result: FIP 1.41 → 2.03, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAAIndianapolis Indians · 16 IPFIP 3.59 → 3.71 (+0.11)K% 20.0% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.860	17.20%
BB% (unintentional) /BF	10.00%	—	×0.900	9.00%
HR / BF /BF	1.67%	÷1.095	×1.100	1.67%

Result: FIP 3.59 → 3.71, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ABradenton Marauders · 4 IPFIP 6.90 → 8.39 (+1.49)K% 10.0% → 7.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	10.00%	—	×0.740	7.40%
BB% (unintentional) /BF	15.00%	—	×1.180	17.70%
HR / BF /BF	5.00%	÷0.971	×1.300	6.70%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 94).

Result: FIP 6.90 → 8.39, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAAIndianapolis Indians · 7 IPFIP 6.59 → 7.10 (+0.51)K% 13.8% → 12.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.79%	—	×0.880	12.14%
BB% (unintentional) /BF	6.90%	—	×1.050	7.24%
HR / BF /BF	6.90%	÷1.013	×1.100	7.49%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 103).

Result: FIP 6.59 → 7.10, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAAIndianapolis Indians · 54 IPFIP 3.76 → 4.00 (+0.25)K% 19.5% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.48%	—	×0.880	17.14%
BB% (unintentional) /BF	6.93%	—	×1.050	7.27%
HR / BF /BF	2.60%	÷1.096	×1.100	2.61%

Result: FIP 3.76 → 4.00, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAAltoona Curve · 16 IPFIP 3.10 → 4.03 (+0.93)K% 25.8% → 20.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.81%	—	×0.810	20.90%
BB% (unintentional) /BF	3.23%	—	×1.100	3.55%
HR / BF /BF	3.23%	÷0.947	×1.200	4.09%

Result: FIP 3.10 → 4.03, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Max Kranick (OGILVIE)	—	—	5.01	15.9%	8.7%	3.2%	—	5.24	15.8%	6.6%	47	+0.23	—	—	—
Eder Llamas R 2016 · 4.12 FIP	30	SW	4.12	11.4%	6.8%	2.0%	.301	3.23	11.3%	4.6%	64	-0.89	3.23	171	76
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	73
Francisco Cordova R 2015 · 5.51 FIP	31	SW	5.51	6.4%	4.6%	4.3%	.261	4.59	7.1%	-0.6%	83	-0.92	4.59	115	72
Marco Carrillo R 2017 · 5.33 FIP	30	SW	5.33	11.1%	7.4%	4.1%	.278	6.08	9.9%	0.8%	104	+0.75	5.33	194	71
Murphy Smith R 2018 · 4.57 FIP	30	SW	4.57	13.6%	9.3%	2.6%	.273	—	—	—	—	—	3.16	300	70
Fredy Quintero R 2017 · 4.45 FIP	29	SW	4.45	14.0%	8.7%	2.6%	.335	4.62	17.2%	3.5%	43	+0.17	4.29	241	68
Jon Leicester R 2007 · 4.44 FIP	28	SP-	4.44	11.0%	9.0%	2.1%	.292	—	—	—	—	—	3.76	113	68
Alfonso Sanchez R 2017 · 4.51 FIP	29	SW	4.51	12.5%	9.8%	2.2%	.346	7.58	8.6%	1.4%	39	+3.07	4.51	224	68
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	68
Felipe Arredondo R 2017 · 4.76 FIP	30	SW	4.76	14.8%	7.3%	3.6%	.311	4.65	16.2%	9.1%	64	-0.11	3.92	337	67
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	67
Ryan Jensen R 2005 · 4.35 FIP	29	SW	4.35	15.7%	5.2%	3.5%	.310	—	—	—	—	—	4.35	253	67
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	66
Jose A. Flores R 2018 · 4.77 FIP	29	SP-	4.77	13.7%	10.3%	2.8%	.350	—	—	—	—	—	2.94	237	66
Wes Obermueller R 2007 · 4.83 FIP	30	SW	4.83	12.6%	11.2%	2.5%	.317	—	—	—	—	—	4.72	308	66
Jared Fernandez R 2002 · 4.23 FIP	30	SP-	4.23	15.6%	10.0%	2.2%	.323	3.57	11.8%	5.6%	38	-0.66	3.57	101	66
Nelson Figueroa R 2004 · 5.26 FIP	30	SW	5.26	8.3%	8.3%	3.3%	.289	—	—	—	—	—	3.71	499	66
Chris Jakubauskas R 2009 · 4.97 FIP	30	SW	4.97	12.1%	6.2%	3.9%	.250	4.42	15.7%	7.8%	72	-0.55	4.42	165	66
Bradin Hagens R 2019 · 5.46 FIP	30	SW	5.46	13.2%	12.6%	3.4%	.303	—	—	—	—	—	3.79	254	65
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	65

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.0	41	16.1%	9.0%	1.22	5.30
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Lance Painter ('03)	2.2	56	16.7%	9.0%	1.32	5.24
Will Cunnane ('04)	1.4	46	18.9%	10.4%	1.25	5.26
Dennis Powell ('85-'93, -2 WAR*)	1.7	49	17.6%*	10.1%*	1.18*	5.31*
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*