Ryan Dromboski — OGILVIE

Ryan Dromboski P Jersey Shore BlueClaws

Age 23 RHP 6'2" / 220 lbs A+ Svc 0.0 · Ctrl thru 2034 peak 1.1 · 2028

2026 ROS PROJECTION76 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 123115vR 107

ERA4.74

FIP4.74

K%17.0%

BB%9.5%

K-BB%7.5%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 81 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Grades · Contract

Scouting Grades

STUF4040

CTRL4545

CMD4545

K†4045

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.3	$1.0M	+$0.3M
2030	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2032	Arb-1	$1M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-2	$1M	—	—	—
2034	Arb-3	$7M	—	—	—
Totals		$3M		$2M	+$0.7M

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)
2025	22	MIX MLE	2 levels	22	13	80	323	76	24	4	59%	3.7	17.6%	8.7%	8.9%	1.5%	2.69	3.53	—
2025	22	MIX MLE	2 levels	22	13	80	323	76	24	4	59%	3.7	17.6%	8.7%	8.9%	1.5%	2.69	3.53	—
2025	22	MIX RAW	2 levels	22	13	80	323	76	24	4	59%	3.7	23.5%	7.4%	16.1%	1.2%	2.69	2.75	—
▸ 2026 season
YTD	23	AA MLE	Reading Fightin Phils	18	17	76	336	72	36	5	94%	4.2	17.0%	11.6%	5.4%	1.6%	5.45	4.00	—
YTD	23	AA MLE	Reading Fightin Phils	18	17	76	336	72	36	5	94%	4.2	17.0%	11.6%	5.4%	1.6%	5.45	4.00	—
▸ 2026 season — so far · projected rest · full
2026	23	A+ RAW	PHI	17	16	74	317	70	32	4	94%	4.3	22.1%	10.1%	12.0%	1.3%	4.89	3.21	—
2026	23	AA RAW	PHI	1	1	2	19	2	4	1	100%	2.3	10.5%	21.1%	-10.5%	5.3%	23.14	7.77	—
ROS	23	MLB MLE	PHI	1	1	5	22	4	2	1	100%	5.2	17.0%	9.5%	7.5%	2.7%	4.74	4.74	+0.0
2026 TOT	23	MLB MLE	PHI	—	—	81	358	76	38	6	—	—	21.2%	10.6%	10.5%	1.6%	5.40	4.05	+0.7
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	24	MLB MLE	PHI	14	14	76	322	59	30	9	100%	5.5	18.2%	9.2%	9.0%	2.7%	4.64	4.60	+0.3
2028	25	MLB MLE	PHI	13	13	77	326	62	30	9	100%	5.9	19.0%	9.1%	9.9%	2.7%	4.56	4.52	+0.3
2029	26	MLB MLE	PHI	13	13	77	326	63	29	9	100%	5.9	19.4%	9.0%	10.4%	2.7%	4.51	4.49	+0.4
2030	27	MLB MLE	PHI	13	13	76	321	63	29	9	100%	5.9	19.5%	9.1%	10.4%	2.8%	4.52	4.52	+0.3
2031	28	MLB MLE	PHI	12	12	74	312	60	29	9	100%	6.1	19.4%	9.3%	10.1%	2.9%	4.57	4.61	+0.2
2032	29	MLB MLE	PHI	12	12	70	298	57	28	9	100%	5.9	19.1%	9.5%	9.6%	3.0%	4.67	4.74	+0.1
2033	30	MLB MLE	PHI	11	11	66	280	53	27	9	100%	6.0	18.8%	9.8%	9.0%	3.2%	4.82	4.92	-0.0
2027	24	MLB CTX	PHI	6	6	33	139	25	13	4	100%	5.5	18.2%	9.2%	9.0%	2.9%	4.75	4.71	+0.1
2028	25	MLB CTX	PHI	9	9	51	215	41	20	6	100%	5.7	19.0%	9.1%	9.9%	2.9%	4.67	4.63	+0.2
2029	26	MLB CTX	PHI	10	10	61	258	50	23	8	100%	6.1	19.4%	9.0%	10.4%	2.9%	4.62	4.60	+0.3
2030	27	MLB CTX	PHI	11	11	65	274	54	25	8	100%	5.9	19.5%	9.1%	10.4%	3.0%	4.63	4.63	+0.3
2031	28	MLB CTX	PHI	11	11	66	279	54	26	9	100%	6.0	19.4%	9.3%	10.1%	3.1%	4.69	4.73	+0.2
2032	29	MLB CTX	PHI	11	11	64	270	52	26	9	100%	5.8	19.1%	9.5%	9.6%	3.3%	4.79	4.86	+0.1
2033	30	MLB CTX	PHI	10	10	61	258	48	25	9	100%	6.1	18.8%	9.8%	9.0%	3.5%	4.95	5.05	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		67	67	401	1694	324	157	53	100%	6.0	19.1%	9.3%	9.8%	3.1%	4.73	4.37	+2.5
/ 200 IP	—	RAW		34	34	200	844	161	78	26	100%	5.9	19.1%	9.3%	9.8%	3.1%	4.73	4.37	+1.2
Career	—	MLE		40	30	156	659	114	67	10	75%	3.9	17.3%	10.2%	7.1%	1.5%	4.03	3.77	+1.7
/ 200 IP	—	MLE		51	38	200	843	146	86	13	75%	3.9	17.3%	10.2%	7.1%	1.5%	4.03	3.77	+0.6

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
Ryan Dromboski (OGILVIE)	—	—	4.74	17.0%	9.5%	2.7%	—	4.54	18.9%	9.8%	231	-0.20	—	—	—
Johnathan Harmon R 2023 · 4.30 FIP	22	SP-	4.30	17.8%	10.2%	2.6%	.293	5.14	15.1%	6.3%	193	+0.84	3.52	282	88
Ryan Atkinson R 2016 · 4.58 FIP	23	SP-	4.58	18.4%	11.3%	2.9%	.315	4.48	21.6%	9.0%	305	-0.10	4.14	338	88
Drew McDaniel R 2023 · 4.71 FIP	22	SP	4.71	14.1%	9.1%	3.0%	.323	5.08	18.7%	8.7%	152	+0.37	4.24	230	88
Jared Karros R 2023 · 4.77 FIP	22	SP	4.77	19.0%	8.9%	3.9%	.290	5.26	17.8%	8.3%	120	+0.49	3.36	191	87
Tyler Uberstine R 2022 · 4.19 FIP	23	SP-	4.19	19.5%	10.5%	2.6%	.302	4.32	22.2%	14.8%	121	+0.13	3.16	258	86
Andrew Quezada R 2021 · 4.40 FIP	24	SP-	4.40	18.1%	8.1%	3.3%	.312	4.86	14.6%	6.1%	291	+0.46	4.40	412	86
Bradley Brehmer R 2023 · 4.43 FIP	23	SP	4.43	14.6%	9.5%	2.5%	.349	3.27	20.0%	11.5%	94	-1.16	2.83	165	85
Nick Fraze R 2021 · 4.49 FIP	23	SP-	4.49	18.8%	7.3%	3.8%	.271	4.70	17.9%	10.2%	162	+0.21	3.86	278	85
Levi Thomas R 2021 · 5.22 FIP	23	SP-	5.22	18.1%	11.9%	3.9%	.328	5.16	20.8%	3.3%	31	-0.06	5.16	116	85
Garrett Burhenn R 2023 · 4.39 FIP	23	SP-	4.39	13.5%	8.4%	2.5%	.312	4.36	18.1%	10.2%	247	-0.03	4.30	433	85
Bryce Conley R 2018 · 4.71 FIP	23	SP-	4.71	20.2%	12.2%	3.2%	.269	4.88	17.4%	3.3%	197	+0.17	4.22	560	85
Noah Denoyer R 2021 · 4.51 FIP	23	SP-	4.51	21.5%	12.1%	3.1%	.275	4.13	25.3%	15.3%	121	-0.38	3.26	181	85
Cameron Foster R 2023 · 4.31 FIP	24	SP	4.31	18.9%	10.3%	2.7%	.329	4.05	20.9%	10.9%	132	-0.26	2.54	213	85
Stolmy Pimentel R 2015 · 4.47 FIP	25	SP-	4.47	16.0%	10.5%	2.5%	.338	3.87	13.6%	3.1%	72	-0.60	3.87	143	84
Ubert Mejias R 2023 · 3.74 FIP	22	SP-	3.74	14.2%	7.9%	1.5%	.326	4.43	14.0%	8.0%	264	+0.69	3.74	326	84
Chris McElvain R 2023 · 4.76 FIP	22	SP	4.76	15.8%	11.6%	2.8%	.275	5.24	15.8%	4.7%	198	+0.48	4.07	294	84
Nick Hull R 2023 · 4.26 FIP	23	SP-	4.26	17.2%	12.1%	2.0%	.251	4.84	17.7%	6.3%	200	+0.58	4.26	292	83
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	83
Michael Matuella R 2017 · 4.28 FIP	23	SP	4.28	13.5%	8.2%	2.3%	.342	4.66	16.5%	3.4%	94	+0.38	3.60	169	82
Marcelo Perez R 2023 · 3.84 FIP	23	SP	3.84	18.0%	8.6%	2.1%	.288	4.99	14.7%	7.3%	238	+1.15	3.84	306	82

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.9	72	18.8%	9.3%	1.11	4.62
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Buck Farmer ('24)	2.5	50	21.6%	10.5%	1.23	4.59
Luis Cessa ('23)	2.1	53	18.3%	7.8%	1.40	4.43
Matt Wisler ('22)	2.5	63	20.1%	7.6%	1.40	4.59
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38
Miguel Castro ('23)	2.1	59	20.8%	12.0%	1.04	3.99