Tanner Gillis

P Biloxi Shuckers

Age 26 RHP 6'3" / 220 lbs AA peak 0.8 · 2029

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	24	MIX2 levels	21	14	92	2.65	2.60	18.7%	6.0%	—	K 14.2% · BB 6.9% · FIP 3.08
2026	25	AAMIL	15	8	57	3.32	4.56	19.0%	5.8%	—	K 15.4% · BB 6.3% · FIP 5.51
2027PROJ	26	MLBMIL	10	10	70	5.08	5.08	12.9%	7.2%	-0.1
2028PROJ38% MLB	27	MLBMIL	5	5	31	5.02	5.03	13.8%	7.3%	-0.0
2029PROJ60% MLB	28	MLBMIL	7	7	47	4.86	4.79	16.3%	6.7%	0.1

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

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control60Command40

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsBryce Morrow (age 27) · Colin Bates (age 27) · Scott McGregor (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 113

ERA5.08

FIP5.08

K%12.9%

BB%7.2%

K-BB%5.7%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL6060

CMD4040

K†3040

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 + 2027 so far)
2025	24	MIX MLE	2 levels	21	14	92	369	69	22	2	67%	4.4	14.2%	6.9%	7.2%	0.5%	2.65	3.08	—
2025	24	MIX MLE	2 levels	21	14	92	369	69	22	2	67%	4.4	14.2%	6.9%	7.2%	0.5%	2.65	3.08	—
2025	24	MIX RAW	2 levels	21	14	92	369	69	22	2	67%	4.4	18.7%	6.0%	12.7%	0.5%	2.65	2.60	—
2026	25	AA MLE	Biloxi Shuckers	15	8	57	226	43	13	10	53%	3.8	15.4%	6.3%	9.1%	5.3%	3.32	5.51	—
2026	25	AA MLE	Biloxi Shuckers	15	8	57	226	43	13	10	53%	3.8	15.4%	6.3%	9.1%	5.3%	3.32	5.51	—
2026	25	AA RAW	Biloxi Shuckers	15	8	57	226	43	13	10	53%	3.8	19.0%	5.8%	13.3%	4.4%	3.32	4.56	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	MIL	10	10	70	296	38	21	10	100%	7.0	12.9%	7.2%	5.7%	3.2%	5.08	5.08	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	MIL	12	12	81	343	47	25	11	100%	6.8	13.8%	7.3%	6.5%	3.3%	5.02	5.03	-0.1
2029	28	MLB MLE	MIL	12	12	79	333	54	22	11	100%	6.6	16.3%	6.7%	9.6%	3.3%	4.86	4.79	+0.1
2030	29	MLB MLE	MIL	11	11	75	318	52	22	11	100%	6.8	16.4%	7.0%	9.4%	3.5%	4.87	4.89	+0.0
2031	30	MLB MLE	MIL	10	10	71	299	49	22	11	100%	7.1	16.2%	7.4%	8.8%	3.7%	4.98	5.06	-0.1
2028	27	MLB CTX	MIL	5	5	31	131	18	10	4	100%	6.2	13.8%	7.3%	6.5%	3.3%	5.02	5.03	-0.0
2029	28	MLB CTX	MIL	7	7	47	198	32	13	7	100%	6.7	16.3%	6.7%	9.6%	3.3%	4.86	4.79	+0.1
2030	29	MLB CTX	MIL	8	8	53	224	37	16	8	100%	6.6	16.4%	7.0%	9.4%	3.5%	4.87	4.89	+0.0
2031	30	MLB CTX	MIL	8	8	55	232	38	17	8	100%	6.9	16.2%	7.4%	8.8%	3.7%	4.98	5.06	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		27	27	186	786	125	56	27	100%	6.9	15.9%	7.1%	8.8%	3.5%	4.92	4.56	+0.7
/ 200 IP	—	RAW		29	29	200	844	134	60	29	100%	6.8	15.9%	7.1%	8.8%	3.5%	4.92	4.56	+0.8
Career	—	MLE		36	22	149	595	87	40	14	61%	4.1	14.6%	6.7%	7.9%	2.4%	2.91	4.00	-0.1
/ 200 IP	—	MLE		48	30	200	800	117	54	19	61%	4.1	14.6%	6.7%	7.9%	2.4%	2.91	4.00	-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
Tanner Gillis (OGILVIE)	—	—	5.08	12.9%	7.2%	3.2%	—	4.90	15.5%	8.4%	236	-0.18	—	—	—
Bryce Morrow R 2015 · 4.31 FIP	27	SP-	4.31	12.8%	7.9%	2.4%	.316	5.44	10.1%	-0.2%	50	+1.13	4.31	125	91
Colin Bates R 2015 · 4.57 FIP	27	SP-	4.57	10.5%	6.5%	2.8%	.301	—	—	—	—	—	4.57	111	84
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	83
Edgar Alberto Garcia R 2015 · 5.24 FIP	27	SP-	5.24	11.6%	9.8%	3.4%	.263	4.28	15.3%	5.2%	167	-0.96	4.01	272	82
Nick Payero R 2024 · 4.21 FIP	24	SP-	4.21	16.5%	6.3%	3.1%	.285	5.81	16.6%	4.6%	107	+1.60	4.21	178	82
Terance Marin R 2016 · 4.91 FIP	26	SP-	4.91	11.2%	7.7%	3.2%	.294	4.22	12.4%	7.5%	88	-0.69	3.54	322	82
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	81
Ivan Zavala R 2015 · 4.51 FIP	28	SP-	4.51	7.0%	4.7%	2.6%	.312	4.73	12.2%	4.3%	50	+0.22	4.27	209	81
Mike Augliera R 2015 · 4.27 FIP	25	SP-	4.27	12.0%	7.2%	2.3%	.350	—	—	—	—	—	4.27	114	81
Tony Bucciferro R 2015 · 5.11 FIP	25	SP-	5.11	6.8%	6.2%	3.3%	.324	—	—	—	—	—	5.11	107	81
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	81
Aaron Northcraft R 2016 · 4.19 FIP	26	SW	4.19	16.1%	8.3%	2.5%	.309	3.32	24.1%	13.4%	34	-0.87	3.32	252	80
Frank Batista R 2015 · 4.29 FIP	26	SP-	4.29	12.1%	8.2%	2.1%	.280	—	—	—	—	—	4.29	118	80
Joel De La Cruz R 2015 · 4.19 FIP	26	SW	4.19	10.3%	6.7%	2.0%	.276	4.61	14.4%	5.8%	120	+0.42	4.19	205	80
David Griffin R 2022 · 4.71 FIP	26	SP-	4.71	16.6%	9.8%	3.2%	.285	5.83	14.2%	5.0%	81	+1.12	4.43	239	79
Ryan Doran R 2015 · 4.74 FIP	24	SP-	4.74	10.0%	4.2%	3.6%	.279	—	—	—	—	—	4.74	114	79
Adam Panayotovich R 2017 · 5.45 FIP	25	SP-	5.45	9.6%	9.0%	3.7%	.375	—	—	—	—	—	3.50	121	79
Mike McCarthy R 2015 · 4.78 FIP	27	SP-	4.78	9.4%	9.1%	2.4%	.280	5.03	6.2%	-3.5%	37	+0.25	4.78	153	79
Justin Topa R 2018 · 4.15 FIP	27	SP-	4.15	15.1%	7.9%	2.4%	.374	2.69	19.2%	12.6%	40	-1.46	2.67	284	78
Forrest Snow R 2015 · 5.03 FIP	26	SP-	5.03	16.1%	8.2%	4.1%	.263	4.14	21.8%	14.2%	256	-0.89	3.02	406	78

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	1.9	75	15.1%	7.1%	1.31	4.96
Jose Cabrera ('02)	1.4	68	16.2%	7.9%	1.39	4.95
Bob Wells ('02)	3.2	79	15.0%	7.2%	1.43	5.03
Travis Harper ('06)	2.1	69	15.0%	7.5%	1.33	4.94
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*
Paul Reuschel ('75-'79, 1 WAR*)	2.0	79	16.8%*	7.6%*	1.29*	4.76*
Cris Carpenter ('88-'96, 2 WAR*)	2.1	69	18.3%*	7.4%*	1.15*	4.29*