Max Banks

P Kannapolis Cannon Ballers

Age 24 RHP 6'4" / 225 lbs A Svc 0.0 · Ctrl thru 2036 peak 0.9 · 2028

Overview

APROSPECTMiLBFA 2037

OGV OFP35OGV rank#499ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	23	MIX2 levels	32	16	103	3.41	3.39	22.1%	5.9%	—	K 16.6% · BB 6.8% · FIP 4.36
2027PROJ	24	MLBCWS	—	—	0	4.57	4.57	17.7%	7.0%	—
2028PROJ43% MLB	25	MLBCWS	5	5	33	4.51	4.47	19.0%	7.0%	0.4
2029PROJ66% MLB	26	MLBCWS	8	8	49	4.44	4.41	19.7%	7.0%	0.6

Next 3 projected WAR 1.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$0.8M+2

Career WAR0.0 WAR median (P10 -0.1 / P90 0.1, comp-based) · star 0% · didn't stick 98%

CompsYaisel Sierra (age 25) · Matt Peacock (age 24) · Zach Miner (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 120112vR 104

ERA4.57

FIP4.57

K%17.7%

BB%7.0%

K-BB%10.6%

Proj IP72

Value2027 · WAR

Runs saved vs league avg · 72 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$25M ctrl surplus

Grades · Contract

Scouting Grades

K†4050

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Arb-1	$0.8M	+0.4	$0.9M	+$0.6M
2035	Arb-2	$0.7M	+0.2	$0.4M	+$0.1M
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$4M		$5M	+$3M

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)
2026	23	MIX MLE	2 levels	32	16	103	426	94	25	11	50%	3.2	16.6%	6.8%	9.8%	3.3%	3.41	4.36	—
2026	23	MIX MLE	2 levels	32	16	103	426	94	25	11	50%	3.2	16.6%	6.8%	9.8%	3.3%	3.41	4.36	—
2026	23	MIX RAW	2 levels	32	16	103	426	94	25	11	50%	3.2	22.1%	5.9%	16.2%	2.6%	3.41	3.39	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	CWS	—	—	0	—	—	—	—	—	—	17.7%	7.0%	10.6%	3.1%	4.57	4.57	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	CWS	12	12	78	330	63	23	10	100%	6.5	19.0%	7.0%	12.0%	3.1%	4.48	4.44	+0.9
2029	26	MLB MLE	CWS	12	12	75	315	62	22	10	100%	6.2	19.7%	7.0%	12.8%	3.1%	4.41	4.38	+0.9
2030	27	MLB MLE	CWS	11	11	72	302	60	21	9	100%	6.5	19.8%	7.1%	12.7%	3.1%	4.41	4.41	+0.8
2031	28	MLB MLE	CWS	11	11	68	286	57	21	9	100%	6.2	19.8%	7.3%	12.5%	3.2%	4.45	4.49	+0.7
2032	29	MLB MLE	CWS	10	10	63	265	52	20	9	100%	6.3	19.5%	7.5%	12.0%	3.4%	4.55	4.62	+0.6
2033	30	MLB MLE	CWS	9	9	57	239	46	19	8	100%	6.3	19.2%	7.8%	11.4%	3.6%	4.70	4.80	+0.4
2034	31	MLB MLE	CWS	9	9	55	233	49	17	9	100%	6.1	20.8%	7.3%	13.5%	3.8%	4.72	4.73	+0.4
2035	32	MLB MLE	CWS	7	7	48	203	41	16	8	100%	6.9	20.3%	7.7%	12.6%	4.0%	4.86	4.95	+0.2
2028	25	MLB CTX	CWS	5	5	33	139	26	10	4	100%	6.6	19.0%	7.0%	12.0%	3.1%	4.51	4.47	+0.4
2029	26	MLB CTX	CWS	8	8	49	207	41	14	6	100%	6.1	19.7%	7.0%	12.8%	3.1%	4.44	4.41	+0.6
2030	27	MLB CTX	CWS	9	9	55	232	46	16	7	100%	6.1	19.8%	7.1%	12.7%	3.2%	4.44	4.44	+0.6
2031	28	MLB CTX	CWS	9	9	57	241	48	17	8	100%	6.3	19.8%	7.3%	12.5%	3.3%	4.48	4.52	+0.6
2032	29	MLB CTX	CWS	9	9	55	232	45	17	8	100%	6.1	19.5%	7.5%	12.0%	3.4%	4.58	4.65	+0.5
2033	30	MLB CTX	CWS	8	8	51	215	41	17	8	100%	6.4	19.2%	7.8%	11.4%	3.6%	4.73	4.83	+0.3
2034	31	MLB CTX	CWS	8	8	51	215	45	16	8	100%	6.4	20.8%	7.3%	13.5%	3.8%	4.76	4.77	+0.4
2035	32	MLB CTX	CWS	7	7	45	190	39	15	8	100%	6.4	20.3%	7.7%	12.6%	4.1%	4.90	4.99	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		62	62	396	1672	331	123	58	100%	6.4	19.8%	7.3%	12.5%	3.5%	4.60	4.25	+5.3
/ 200 IP	—	RAW		31	31	200	844	167	62	29	100%	6.4	19.8%	7.3%	12.5%	3.5%	4.60	4.25	+2.7
Career	—	MLE		32	16	103	426	71	29	14	50%	3.2	16.6%	6.8%	9.8%	3.3%	3.41	4.36	+5.0
/ 200 IP	—	MLE		62	31	200	827	137	56	27	50%	3.2	16.6%	6.8%	9.8%	3.3%	3.41	4.36	+1.9

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 AKannapolis Cannon Ballers · 59 IPFIP 2.65 → 3.62 (+0.97)K% 24.3% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.34%	—	×0.740	18.01%
BB% (unintentional) /BF	3.10%	—	×1.180	3.65%
HR / BF /BF	2.21%	÷1.000	×1.300	2.88%

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 100).

Result: FIP 2.65 → 3.62, 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).

2026 A+Winston-Salem Dash · 44 IPFIP 4.24 → 5.20 (+0.96)K% 19.5% → 15.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.50%	—	×0.770	15.02%
BB% (unintentional) /BF	9.00%	—	×1.150	10.35%
HR / BF /BF	3.00%	÷1.000	×1.250	3.75%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. 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 4.24 → 5.20, 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 Banks (OGILVIE)	—	—	4.57	17.7%	7.0%	3.1%	—	4.41	19.5%	12.5%	224	-0.16	—	—	—
Yaisel Sierra R 2016 · 4.32 FIP	25	SW	4.32	16.9%	8.6%	2.8%	.338	3.04	22.4%	12.3%	71	-1.28	3.04	176	87
Matt Peacock R 2018 · 4.20 FIP	24	SP-	4.20	16.0%	7.6%	2.7%	.300	4.27	13.6%	5.2%	202	+0.07	3.93	354	86
Zach Miner R 2006 · 4.35 FIP	24	SP-	4.35	14.8%	7.8%	2.8%	.300	4.24	13.8%	4.6%	264	-0.11	3.55	386	86
Shohei Tomioka R 2021 · 4.00 FIP	25	SW	4.00	18.9%	9.0%	2.5%	.311	4.39	17.2%	4.0%	141	+0.39	3.65	301	86
Steven Bruce R 2017 · 3.69 FIP	25	SW	3.69	14.9%	5.0%	2.2%	.300	3.94	15.0%	9.8%	94	+0.25	3.69	148	85
Cooper Chandler R 2023 · 4.33 FIP	24	SP-	4.33	17.8%	9.3%	2.9%	.300	3.78	23.5%	17.1%	18	-0.55	3.78	107	84
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	84
Ryan Tapani R 2019 · 3.86 FIP	25	SW	3.86	19.0%	7.3%	2.6%	.331	5.56	20.8%	10.6%	47	+1.70	3.86	141	84
Josh DeGraaf R 2017 · 3.90 FIP	24	SW	3.90	15.5%	7.7%	2.1%	.295	4.52	17.2%	10.1%	121	+0.62	3.90	320	82
Kyle Scott R 2024 · 4.12 FIP	22	SP-	4.12	17.7%	8.2%	2.7%	.269	3.94	15.9%	4.3%	42	-0.18	3.94	138	82
Cesar Gomez R 2022 · 4.86 FIP	24	SP-	4.86	17.4%	7.5%	4.1%	.316	5.01	14.6%	4.7%	160	+0.15	4.11	345	82
Hunter Adkins R 2016 · 4.64 FIP	25	SW	4.64	16.2%	10.3%	2.9%	.290	4.82	11.8%	0.5%	58	+0.18	4.64	160	82
Thomas Ponticelli R 2021 · 4.50 FIP	24	SW	4.50	17.2%	9.7%	3.0%	.264	5.25	15.1%	3.8%	163	+0.75	2.59	367	81
Noah Gotsis R 2021 · 3.48 FIP	25	SP-	3.48	16.5%	6.5%	1.7%	.296	4.25	15.9%	8.6%	90	+0.77	3.48	138	81
Kolton Mahoney R 2017 · 3.62 FIP	25	SW	3.62	17.1%	4.4%	2.6%	.312	3.73	16.9%	9.5%	198	+0.11	3.56	302	81
Joey Wagman R 2015 · 3.41 FIP	24	SP-	3.41	14.8%	5.3%	1.6%	.320	3.74	15.8%	7.0%	148	+0.33	3.31	238	81
Sean Harney R 2023 · 3.55 FIP	25	SP-	3.55	18.2%	9.8%	1.4%	.285	4.74	16.5%	5.1%	59	+1.19	3.55	123	80
Logan Verrett R 2015 · 3.81 FIP	25	SW	3.81	18.5%	6.7%	2.6%	.277	5.15	15.8%	6.3%	164	+1.34	3.81	550	80
Jeremy Hefner R 2012 · 3.56 FIP	26	SP-	3.56	15.2%	4.2%	2.2%	.316	4.33	17.8%	11.9%	131	+0.77	3.56	322	80
Ricky Castro R 2024 · 3.99 FIP	24	SP-	3.99	20.4%	8.6%	2.8%	.287	5.11	19.0%	10.6%	178	+1.12	3.99	241	80

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	2.9	65	19.5%	7.3%	1.28	4.55
Juan Carlos Oviedo ('14)	1.9	56	18.9%	8.0%	1.16	4.28
Justin Speier ('09)	3.4	56	20.4%	8.0%	1.44	4.11
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Cris Carpenter ('88-'96, 2 WAR*)	2.1	69	18.3%*	7.4%*	1.15*	4.29*
Bob Patterson ('85-'98, 4 WAR*)	3.1	51	23.0%*	6.7%*	1.32*	4.33*
Ron Taylor ('62-'72, 3 WAR*)	4.0	80	17.8%*	6.8%*	1.26*	4.74*