Dylan Floro

P Las Vegas Aviators

Age 36 RHP 6'2" / 212 lbs AAA peak 0.3 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	32	MLBMIN	62	0	57	4.76	2.48	23.4%	5.6%	1.4
2024	33	MLBARI	66	0	69	3.80	3.39	17.2%	6.1%	0.9
2025	34	AAAOAK	16	0	15	7.04	5.06	17.1%	7.1%	—	K 14.7% · BB 6.4% · FIP 4.86
2026	35	No MLB games played
2027PROJ	36	MLBOAK	15	0	16	4.16	4.41	19.8%	8.2%	0.0
2028PROJ	37	MLBOAK	102	0	107	4.55	4.81	18.8%	8.8%	-0.3
2029PROJ	38	MLBOAK	72	0	76	4.97	5.25	17.6%	9.5%	-0.6

Last 3 seasons WAR 2.4 · Next 3 projected WAR -0.9Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

xwOBA vs51

K%16

FB Velo10

CompsKeiichi Yabu (age 36) · Juan Sandoval (age 36) · Hirokazu Sawamura (age 34)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 113105vR 96

ERA4.16

FIP4.41

K%19.8%

BB%8.2%

K-BB%11.7%

Proj IP163

Value2027 · WAR

Runs saved vs league avg · 163 IP

Grades · Statcast · Contract

Scouting Grades

STUF3535

CTRL6060

CMD4040

K†4545

Statcast Percentiles

FB Velo

p1089.7

Whiff%

p1018.4%

p1617.2%

xwOBA vs

p510.311

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)
2015	24	AAA MLE	Durham Bulls	25	22	133	571	81	21	10	88%	5.3	12.5%	3.9%	8.6%	1.9%	5.02	3.55	—
2015	24	AAA RAW	Durham Bulls	25	22	133	571	81	21	10	88%	5.3	14.2%	3.7%	10.5%	1.8%	5.02	3.33	—
2016	25	MIX MLE	2 levels	44	0	65	279	54	13	6	0%	1.5	17.6%	4.8%	12.8%	2.0%	3.18	3.33	+0.9
2016	25	MIX RAW	2 levels	44	0	65	279	54	13	6	0%	1.5	19.4%	4.7%	14.7%	2.2%	3.18	3.24	+1.0
2017	26	MIX MLE	2 levels	36	2	70	306	44	13	11	6%	1.9	12.8%	4.4%	8.4%	3.8%	4.52	4.68	-0.1
2017	26	MIX RAW	2 levels	36	2	70	306	44	13	11	6%	1.9	14.4%	4.2%	10.1%	3.6%	4.52	4.45	+0.1
2018	27	MIX MLE	2 levels	57	0	68	289	60	17	4	0%	1.2	21.4%	6.3%	15.1%	1.1%	2.25	2.67	+1.5
2018	27	MIX RAW	2 levels	57	0	68	289	60	17	4	0%	1.2	20.8%	5.9%	14.9%	1.4%	2.25	2.85	+1.4
2019	28	MIX MLE	3 levels	58	0	53	229	48	13	4	0%	0.9	20.9%	4.5%	16.4%	1.9%	3.91	2.95	+1.0
2019	28	MIX RAW	3 levels	58	0	53	229	48	13	4	0%	0.9	21.0%	5.7%	15.3%	1.7%	3.91	3.01	+1.0
2020	29	MLB MLE	Los Angeles Dodgers	25	0	24	98	19	3	1	0%	1.0	19.4%	3.1%	16.3%	1.0%	2.59	2.39	+0.6
2020	29	MLB RAW	Los Angeles Dodgers	25	0	24	98	19	3	1	0%	1.0	19.4%	3.1%	16.3%	1.0%	2.59	2.44	+0.6
2021	30	MLB MLE	Miami Marlins	68	0	64	270	62	22	2	0%	0.9	23.0%	8.1%	14.8%	0.8%	2.81	2.62	+1.5
2021	30	MLB RAW	Miami Marlins	68	0	64	270	62	22	2	0%	0.9	23.0%	8.1%	14.8%	0.7%	2.81	2.60	+1.5
2022	31	MIX MLE	3 levels	61	3	59	242	52	14	4	5%	1.0	21.8%	5.5%	16.4%	1.9%	3.22	3.00	+1.1
2022	31	MIX RAW	3 levels	61	3	59	242	52	14	4	5%	1.0	21.5%	5.8%	15.7%	1.7%	3.22	2.93	+1.1
2023	32	MLB MLE	Minnesota Twins	62	0	57	248	58	14	3	0%	0.9	23.4%	5.6%	17.7%	1.2%	4.76	2.50	+1.4
2023	32	MLB RAW	Minnesota Twins	62	0	57	248	58	14	3	0%	0.9	23.4%	5.6%	17.7%	1.2%	4.76	2.48	+1.4
2024	33	MLB MLE	Arizona Diamondbacks	66	0	69	279	48	17	5	0%	1.0	17.2%	6.1%	11.1%	1.9%	3.80	3.46	+0.9
2024	33	MLB MLE	Arizona Diamondbacks	66	0	69	279	48	17	5	0%	1.0	17.2%	6.1%	11.1%	1.9%	3.80	3.46	+0.9
2024	33	MLB RAW	Arizona Diamondbacks	66	0	69	279	48	17	5	0%	1.0	17.2%	6.1%	11.1%	1.8%	3.80	3.39	+0.9
2025	34	AAA MLE	Las Vegas Aviators	16	0	15	70	12	5	3	0%	1.0	14.7%	6.4%	8.3%	4.0%	7.04	4.86	—
2025	34	AAA MLE	Las Vegas Aviators	16	0	15	70	12	5	3	0%	1.0	14.7%	6.4%	8.3%	4.0%	7.04	4.86	—
2025	34	AAA RAW	Las Vegas Aviators	16	0	15	70	12	5	3	0%	1.0	17.1%	7.1%	10.0%	4.3%	7.04	5.06	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			396	0	403	1704	355	100	24	0%	1.0	20.8%	5.9%	15.0%	1.4%	3.49	2.86	+8.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	36	MLB	OAK	15	0	16	68	13	6	2	0%	1.1	19.8%	8.2%	11.7%	2.9%	4.16	4.41	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	37	MLB MLE	OAK	102	0	107	452	85	40	15	0%	1.1	18.8%	8.8%	10.0%	3.3%	4.55	4.81	-0.3
2029	38	MLB MLE	OAK	73	0	76	322	57	31	12	0%	1.0	17.6%	9.5%	8.1%	3.7%	4.97	5.25	-0.6
2028	37	MLB CTX	OAK	102	0	107	452	85	40	15	0%	1.0	18.8%	8.8%	10.0%	3.3%	4.55	4.81	-0.3
2029	38	MLB CTX	OAK	72	0	76	321	56	30	12	0%	1.1	17.6%	9.5%	8.1%	3.7%	4.97	5.25	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		571	0	586	2478	496	170	51	0%	1.0	20.0%	6.9%	13.2%	2.1%	3.87	3.41	+8.0
/ 200 IP	—	RAW		195	0	200	846	169	58	17	0%	1.0	20.0%	6.9%	13.2%	2.1%	3.87	3.41	+2.7
Career	—	MLE		518	27	676	2881	520	151	54	5%	1.3	18.0%	5.2%	12.8%	1.9%	3.87	3.27	+7.1
/ 200 IP	—	MLE		153	8	200	852	154	45	16	5%	1.3	18.0%	5.2%	12.8%	1.9%	3.87	3.27	+2.4

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.

2025 AAALas Vegas Aviators · 15 IPFIP 4.91 → 4.86 (−0.05)K% 17.1% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.14%	—	×0.860	14.74%
BB% (unintentional) /BF	7.14%	—	×0.900	6.43%
HR / BF /BF	4.29%	÷1.183	×1.100	3.98%

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 137).

Result: FIP 4.91 → 4.86, 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).

2019 AAAOklahoma City Dodgers · 4 IPFIP 3.52 → 3.90 (+0.38)K% 25.0% → 22.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.880	22.00%
BB% (unintentional) /BF	20.00%	—	×1.050	21.00%
HR / BF /BF	0.00%	÷1.073	×1.100	0.00%

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 115).

Result: FIP 3.52 → 3.90, 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).

2017 AAAOklahoma City Dodgers · 60 IPFIP 4.30 → 4.68 (+0.39)K% 14.6% → 12.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.56%	—	×0.880	12.81%
BB% (unintentional) /BF	4.21%	—	×1.050	4.43%
HR / BF /BF	3.45%	÷0.989	×1.100	3.83%

Result: FIP 4.30 → 4.68, 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).

2016 AAADurham Bulls · 50 IPFIP 3.61 → 3.74 (+0.13)K% 19.3% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.32%	—	×0.880	17.00%
BB% (unintentional) /BF	4.35%	—	×1.050	4.57%
HR / BF /BF	2.90%	÷1.167	×1.100	2.73%

Result: FIP 3.61 → 3.74, 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).

2015 AAADurham Bulls · 133 IPFIP 3.33 → 3.55 (+0.22)K% 14.2% → 12.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.19%	—	×0.880	12.48%
BB% (unintentional) /BF	3.68%	—	×1.050	3.86%
HR / BF /BF	1.75%	÷1.039	×1.100	1.85%

Result: FIP 3.33 → 3.55, 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
Dylan Floro (OGILVIE)	—	—	4.41	19.8%	8.2%	2.9%	—	4.99	18.3%	9.2%	183	+0.58	—	—	—
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	59
Juan Sandoval R 2017 · 3.42 FIP	36	SU	3.42	16.7%	7.2%	1.5%	.298	5.41	15.9%	8.7%	57	+1.99	3.24	225	58
Hirokazu Sawamura R 2022 · 4.02 FIP	34	SU	4.02	18.1%	11.3%	1.9%	.270	—	—	—	—	—	4.02	104	52
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	51
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	3.93	194	51
Erubiel Gonzalez R 2015 · 3.43 FIP	36	SU	3.43	12.4%	6.0%	1.1%	.328	3.26	14.8%	10.4%	69	-0.17	2.99	119	50
Rafael Martín R 2019 · 4.71 FIP	35	SU	4.71	22.5%	6.0%	5.0%	.333	—	—	—	—	—	2.94	227	50
Pete Walker R 2005 · 4.79 FIP	36	SU	4.79	12.0%	9.2%	2.8%	.261	4.45	19.6%	11.6%	30	-0.34	4.45	327	49
Daniel Guerrero R 2019 · 5.59 FIP	34	SW	5.59	14.7%	11.1%	4.2%	.353	—	—	—	—	—	4.61	269	46
Joe Nelson R 2009 · 5.35 FIP	34	SU	5.35	19.8%	14.3%	3.9%	.221	—	—	—	—	—	3.08	139	46
Jesus Adrian Castillo R 2019 · 5.13 FIP	35	SU	5.13	13.1%	7.8%	3.9%	.319	—	—	—	—	—	2.23	173	46
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	45
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	45
Kazuhiro Sasaki R 2003 · 3.30 FIP	35	SU	3.30	19.3%	8.7%	1.3%	.274	—	—	—	—	—	2.76	223	44
Chris Nichting R 2002 · 4.67 FIP	36	SU	4.67	16.6%	3.3%	4.6%	.289	—	—	—	—	—	4.11	103	44
Daniel Bard R 2021 · 3.62 FIP	36	SU	3.62	26.3%	11.5%	2.3%	.337	3.64	24.6%	10.3%	110	+0.02	2.56	456	40
Brian Sweeney R 2010 · 4.63 FIP	36	SU	4.63	9.5%	3.4%	3.5%	.226	—	—	—	—	—	3.03	108	40
Matt Miller R 2006 · 4.98 FIP	34	SU	4.98	18.5%	13.8%	3.1%	.214	—	—	—	—	—	2.13	101	37
Matt Bush R 2022 · 3.73 FIP	36	SU	3.73	30.3%	6.6%	4.3%	.224	3.79	26.2%	17.5%	36	+0.06	2.87	249	36
Masato Yoshii R 2001 · 4.64 FIP	36	SW	4.64	12.8%	4.9%	3.6%	.281	4.15	13.4%	8.0%	131	-0.49	4.15	757	35

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	3.7	75	20.0%	7.9%	0.87	3.94
John Habyan ('85-'96, 6 WAR*)	2.7	67	21.0%*	7.8%*	0.92*	3.83*
Ramon Hernandez ('67-'77, 6 WAR*)	2.2	61	19.7%*	7.3%*	0.77*	3.65*
Fred Gladding ('61-'73, 6 WAR*)	3.0	67	19.6%*	8.6%*	0.76*	3.76*
Steve Karsay ('06)	3.0	67	17.6%	7.6%	0.88	4.01
Sean Marshall ('14)	3.1	88	20.3%	8.3%	0.88	3.86
Alex Colomé ('23)	2.7	60	21.0%	8.3%	0.83	3.36