Victor Ortega

C Jupiter Hammerheads

Age 23 L/R 5'8" / 200 lbs A HR -10%H -3% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP40OGV rank#357ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	A/ROKMIA	196	.270/.419/.329	0	4	72	—	.230/.335/.279
2025	21	AMIA	256	.241/.369/.316	1	4	58	—	.196/.294/.259
2026	22	A+/AMIA	250	.307/.470/.476	4	0	120	—	.259/.385/.385
2027PROJMLE	23	MLBMIA	360	.212/.325/.303	3	3	84	0.4
2028PROJ38% MLB	24	MLBMIA	67	.210/.322/.306	1	1	89	0.2
2029PROJ55% MLB	25	MLBMIA	134	.213/.323/.317	2	1	92	0.4

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

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

BB%99

Z-Con%98

wRC+96

wOBA95

Chase%95

Whiff%87

Career WAR0.0 WAR median (P10 -0.1 / P90 2.9, comp-based) · star 2% · didn't stick 90%

CompsScott Campbell (age 23) · Noah Mendlinger (age 23) · Tucker Barnhart (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 147 proj PA

wRC+†84

AVG/OBP/SLG.210 / .322 / .301

PA147

HR1

K%21

BB%12

ISO91

MLB%0%

Value2027 · WAR

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

Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2035	Arb-1	$1M	+0.2	$0.4M	+$0.0M
2036	Arb-2	$0.4M	—	—	—
2037	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 these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2022	18	ROK	DSL Miami	—	34	25	8	1	0	0	8	4	1	0	2	320	500	360	860	40	381	12	24	410	81	—	—	—	—	—	—
2023	19	ROK	DSL Miami	—	97	69	18	3	0	0	27	9	1	3	0	261	474	304	779	43	300	9	28	381	71	—	—	—	—	—	—
2024	20	A	Jupiter Hammerheads	—	55	43	10	2	0	0	12	9	0	0	0	233	400	279	679	47	294	16	22	331	63	—	—	—	—	—	—
2024	20	ROK	FCL Marlins	—	141	109	31	7	0	0	27	16	0	4	0	284	426	349	775	64	323	11	19	351	76	—	—	—	—	—	—
2025	21	A	Jupiter Hammerheads	—	256	212	51	11	1	1	37	51	6	4	0	241	369	316	685	75	311	20	14	322	58	—	—	—	—	—	—
2026	22	A+	Beloit Sky Carp	—	49	35	11	4	0	0	13	13	0	0	1	314	500	429	929	114	478	27	27	419	122	—	—	—	—	—	—
2026	22	A	Jupiter Hammerheads	—	201	154	47	14	1	4	38	22	7	0	0	305	462	487	949	182	331	11	19	422	119	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	DSL Miami	—	34	27	6	1	0	0	6	5	1	0	2	222	382	259	642	37	254	15	18	288	81	—	—	—	—	—	—
2023	19	ROK MLE	DSL Miami	—	97	78	14	2	0	0	18	11	1	3	0	179	340	205	545	26	214	11	19	273	71	—	—	—	—	—	—
2024	20	A MLE	Jupiter Hammerheads	—	55	46	9	2	0	0	9	12	0	0	0	196	327	239	566	43	258	22	16	261	63	—	—	—	—	—	—
2024	20	ROK MLE	FCL Marlins	—	141	119	29	6	0	0	17	23	0	4	0	244	338	294	632	50	272	16	12	280	76	—	—	—	—	—	—
2025	21	A MLE	Jupiter Hammerheads	—	256	224	44	9	1	1	25	68	6	4	0	196	294	259	553	63	276	27	10	254	58	—	—	—	—	—	—
2026	22	A+ MLE	Beloit Sky Carp	—	49	39	10	3	0	0	9	17	0	0	1	256	396	333	729	77	427	35	18	349	122	—	—	—	—	—	—
2026	22	A MLE	Jupiter Hammerheads	—	201	166	43	12	1	3	26	30	7	0	0	259	382	398	779	139	286	15	13	344	119	—	—	—	—	—	—
2022	18	ROK MLE	DSL Miami	—	34	27	6	1	0	0	6	5	1	0	2	222	382	259	642	37	273	15	18	288	81	—	—	—	—	—	—
2022	18	ROK RAW	DSL Miami	—	34	25	8	1	0	0	8	4	1	0	2	320	500	360	860	40	381	12	24	410	81	—	—	—	—	—	—
2023	19	ROK MLE	DSL Miami	—	97	78	14	2	0	0	18	11	1	3	0	179	340	205	545	26	209	11	19	273	71	—	—	—	—	—	—
2023	19	ROK RAW	DSL Miami	—	97	69	18	3	0	0	27	9	1	3	0	261	474	304	779	43	300	9	28	381	71	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	196	165	37	7	0	0	26	35	0	4	0	224	330	267	597	42	278	18	13	275	72	—	—	—	—	—	—
2024	20	ROK RAW	2 teams	—	196	152	41	9	0	0	39	25	0	4	0	270	419	329	748	59	315	13	20	346	72	—	—	—	—	—	—
2025	21	A MLE	Jupiter Hammerheads	—	256	224	44	9	1	1	25	68	6	4	0	196	294	259	553	63	276	27	10	254	58	—	—	—	—	—	—
2025	21	A RAW	Jupiter Hammerheads	—	256	212	51	11	1	1	37	51	6	4	0	241	369	316	685	75	311	20	14	322	58	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	250	205	52	15	1	3	35	46	7	0	1	254	381	380	761	127	308	18	14	345	120	—	—	—	—	—	—
2026	22	A RAW	2 teams	—	250	189	58	18	1	4	51	35	7	0	1	307	470	476	946	169	353	14	20	422	120	—	—	—	—	—	—
2022	18	ROK MLE	DSL Miami	—	34	27	6	1	0	0	6	5	1	0	2	222	382	259	642	37	254	15	18	288	81	—	—	—	—	—	—
2023	19	ROK MLE	DSL Miami	—	97	78	14	2	0	0	18	11	1	3	0	179	340	205	545	26	214	11	19	273	71	—	—	—	—	—	—
2024	20	ROK MLE	2 teams	—	196	168	37	7	0	0	26	35	0	4	0	220	330	262	592	42	268	18	13	275	72	—	—	—	—	—	—
2025	21	A MLE	Jupiter Hammerheads	—	256	223	44	9	1	1	25	68	6	4	0	197	294	260	554	63	276	27	10	254	58	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	250	206	52	15	1	3	35	46	7	0	1	252	381	379	759	126	314	18	14	345	120	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	ROK MLE	2 teams	—	196	168	37	7	0	0	26	35	0	4	0	220	330	262	592	42	268	18	13	275	72	—	—	—	—	—	—
2025	21	A MLE	Jupiter Hammerheads	—	256	223	44	9	1	1	25	68	6	4	0	197	294	260	554	63	276	27	10	254	58	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	250	206	52	15	1	3	35	46	7	0	1	252	381	379	759	126	314	18	14	345	120	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	MIA	0%	360	306	65	16	1	3	45	74	6	3	1	212	325	303	628	91	267	21	12	292	84	-7	+0	-1	+6	+8	0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	MIA	38%	178	151	33	8	1	2	22	37	3	1	0	217	328	321	649	104	269	21	12	300	89	-2	+0	-0	+3	+4	0.5
2029	25	MLB MLE	MIA	55%	242	207	46	11	1	4	29	50	4	2	1	220	329	332	662	112	270	21	12	304	92	-2	+0	+0	+4	+5	0.8
2030	26	MLB MLE	MIA	64%	295	253	56	13	1	5	35	61	5	2	1	222	329	340	669	117	271	21	12	307	94	-2	+0	+0	+5	+6	1.0
2031	27	MLB MLE	MIA	66%	321	275	61	14	1	5	38	67	5	2	1	223	328	341	669	118	272	21	12	306	93	-3	+0	+0	+6	+7	1.1
2032	28	MLB MLE	MIA	67%	334	287	64	14	1	6	39	71	5	1	1	222	326	339	665	117	272	21	12	304	92	-3	-0	-0	+6	+7	1.0
2033	29	MLB MLE	MIA	66%	333	286	62	14	1	5	39	71	5	0	0	219	323	333	656	113	271	21	12	301	90	-4	+0	-1	+6	+7	0.8
2034	30	MLB MLE	MIA	65%	328	282	61	14	1	5	38	71	5	0	0	216	319	325	644	108	269	22	12	296	86	-5	+0	-2	+6	+7	0.6
2035	31	MLB MLE	MIA	65%	298	258	54	12	1	4	34	66	4	0	0	212	314	314	629	102	266	22	11	290	82	-6	+0	-3	+5	+6	0.3
2036	32	MLB MLE	MIA	65%	265	229	47	10	1	3	30	60	4	0	0	206	308	301	610	95	262	23	11	282	77	-7	+0	-3	+5	+6	-0.0
2028	24	MLB CTX	MIA	38%	67	58	12	3	0	1	8	14	1	1	0	210	322	306	628	97	260	21	12	292	89	-1	+0	-0	+1	+1	0.2
2029	25	MLB CTX	MIA	55%	134	115	24	5	0	2	16	28	2	1	0	213	323	317	640	105	261	21	12	296	92	-1	+0	+0	+2	+3	0.4
2030	26	MLB CTX	MIA	64%	188	160	35	8	1	3	23	39	3	1	0	215	323	324	647	109	262	21	12	298	94	-1	+0	+0	+3	+4	0.6
2031	27	MLB CTX	MIA	66%	211	181	38	8	1	3	25	44	3	1	0	215	321	325	646	110	263	21	12	297	93	-2	+0	+0	+4	+5	0.7
2032	28	MLB CTX	MIA	67%	223	192	42	9	1	4	26	47	3	1	0	214	319	324	643	110	263	21	12	296	92	-2	+0	-0	+4	+5	0.7
2033	29	MLB CTX	MIA	66%	219	189	40	9	1	3	25	47	3	0	0	212	316	318	634	106	261	21	11	292	90	-3	+0	-1	+4	+5	0.5
2034	30	MLB CTX	MIA	65%	214	184	39	8	1	3	25	47	3	0	0	209	313	310	623	101	260	22	12	288	86	-3	+0	-1	+4	+5	0.4
2035	31	MLB CTX	MIA	65%	193	166	34	7	0	3	22	43	3	0	0	205	308	300	608	96	257	22	11	282	82	-4	+0	-2	+3	+4	0.2
2036	32	MLB CTX	MIA	65%	171	148	29	6	0	2	19	39	2	0	0	200	302	288	590	88	253	23	11	275	77	-5	+0	-2	+3	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1620	1393	293	63	5	24	189	348	23	5	0	210	315	314	629	104	261	21	12	291	87	-22	+1	-6	+29	+35	3.8
/ 162G	—	A+C		—	650	559	118	25	2	10	76	140	9	2	0	211	315	317	632	106	262	22	12	291	87	-9	+0	-2	+12	+14	1.5
Career	—	MLE		—	3574	3052	663	150	12	44	432	749	58	20	7	217	326	317	643	100	271	21	12	297	87	-38	+0	-10	+49	+59	6.2
/ 162G	—	MLE		—	650	555	120	27	2	8	79	136	11	4	1	216	326	315	641	99	270	21	12	297	87	-9	+0	-2	+12	+14	1.5

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 AJupiter Hammerheads · 201 PAwOBA .417 → .344 (−72)K% 10.9% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.95%	÷1.000	×1.360	—	—	14.89%
BB% (unintentional) /PA	18.91%	÷1.000	×0.690	—	—	13.04%
HBP% /PA	3.48%	—	×0.780	—	—	2.72%
Singles /BIP	21.21%	÷1.000	×0.920	×0.975	—	19.02%
Doubles /BIP	10.61%	÷1.000	×0.830	×0.975	—	8.58%
Triples /BIP	0.76%	÷1.000	×0.910	×0.975	—	0.67%
Home runs /BIP	3.03%	÷1.000	×0.800	—	—	2.42%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .417 → .344; ISO .182 → .156; BABIP .331 → .286. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 A+Beloit Sky Carp · 49 PAwOBA .419 → .349 (−69)K% 26.5% → 33.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.53%	÷1.000	×1.270	—	—	33.69%
BB% (unintentional) /PA	26.53%	÷1.000	×0.710	—	×1.012	19.06%
HBP% /PA	0.00%	—	×0.790	—	×1.012	0.00%
Singles /BIP	31.82%	÷1.000	×0.920	—	×1.012	29.62%
Doubles /BIP	18.18%	÷1.000	×0.810	—	×1.012	14.90%
Triples /BIP	0.00%	÷1.000	×0.850	—	×1.012	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.012	0.00%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).

Result: wOBA .419 → .349; ISO .114 → .099; BABIP .478 → .427. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AJupiter Hammerheads · 256 PAwOBA .316 → .254 (−62)K% 19.9% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.92%	÷1.014	×1.360	—	—	26.71%
BB% (unintentional) /PA	14.45%	÷1.018	×0.690	—	×1.015	9.94%
HBP% /PA	2.34%	—	×0.780	—	×1.015	1.86%
Singles /BIP	23.60%	÷1.019	×0.920	×0.975	×1.015	21.09%
Doubles /BIP	6.83%	÷0.947	×0.830	×0.975	×1.015	5.93%
Triples /BIP	0.62%	÷0.900	×0.910	×0.975	×1.015	0.62%
Home runs /BIP	0.62%	÷1.035	×0.800	—	×1.015	0.49%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 104, 2B 89, 3B 80, K 103, BB 104 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.975.

Result: wOBA .316 → .254; ISO .075 → .064; BABIP .311 → .276. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ROKFCL Marlins · 141 PAwOBA .351 → .280 (−71)K% 11.3% → 16.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.35%	÷0.987	×1.440	—	—	16.56%
BB% (unintentional) /PA	19.15%	÷0.970	×0.620	—	×0.995	12.17%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	25.81%	÷0.985	×0.820	×1.050	×0.995	22.44%
Doubles /BIP	7.53%	÷1.014	×0.720	×1.050	×0.995	5.58%
Triples /BIP	0.00%	÷1.004	×0.720	×1.050	×0.995	0.00%
Home runs /BIP	0.00%	÷0.898	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 97, 2B 103, 3B 101, K 97, BB 94 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .351 → .280; ISO .064 → .051; BABIP .323 → .272. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AJupiter Hammerheads · 55 PAwOBA .324 → .261 (−62)K% 16.4% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.36%	÷1.029	×1.360	—	—	21.63%
BB% (unintentional) /PA	21.82%	÷0.993	×0.690	—	×1.030	15.61%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	23.53%	÷1.065	×0.920	—	×1.030	20.93%
Doubles /BIP	5.88%	÷1.032	×0.830	—	×1.030	4.87%
Triples /BIP	0.00%	÷0.960	×0.910	—	×1.030	0.00%
Home runs /BIP	0.00%	÷0.888	×0.800	—	×1.030	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 113, 2B 106, 3B 92, K 106, BB 99 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).

Result: wOBA .324 → .261; ISO .047 → .039; BABIP .294 → .258. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL Miami · 97 PAwOBA .374 → .273 (−101)K% 9.3% → 11.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.28%	÷0.992	×1.220	—	—	11.41%
BB% (unintentional) /PA	27.84%	÷1.030	×0.700	—	×0.995	18.81%
HBP% /PA	1.03%	—	×0.700	—	×0.995	0.72%
Singles /BIP	25.00%	÷0.957	×0.680	×1.043	×0.995	18.43%
Doubles /BIP	5.00%	÷1.039	×0.600	×1.043	×0.995	3.00%
Triples /BIP	0.00%	÷1.150	×0.600	×1.043	×0.995	0.00%
Home runs /BIP	0.00%	÷0.948	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 91, 2B 108, 3B 130, K 98, BB 106 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .374 → .273; ISO .043 → .029; BABIP .300 → .214. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 DSLDSL Miami · 34 PAwOBA .401 → .288 (−113)K% 11.8% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷0.982	×1.220	—	—	14.61%
BB% (unintentional) /PA	23.53%	÷0.963	×0.700	—	×1.008	17.23%
HBP% /PA	2.94%	—	×0.700	—	×1.008	2.07%
Singles /BIP	33.33%	÷1.021	×0.680	—	×1.008	22.36%
Doubles /BIP	4.76%	÷0.963	×0.600	—	×1.008	2.99%
Triples /BIP	0.00%	÷1.036	×0.600	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.249	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 150, 1B 104, 2B 93, 3B 107, K 96, BB 93 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).

Result: wOBA .401 → .288; ISO .040 → .027; BABIP .381 → .254. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Mike Fitzgerald'83-'92 * career totals — 9 seasons, 2,667 PA	4.0	2,667	48	31	234*	320*	372*	+43	-1	9.5	9.3
/162	664	12	8	+10.8	-0.3	2.4	pk7: 9
#2A.J. Ellislast yr '18 career totals — 9 seasons, 2,290 PA	3.4	2,290	44	2	240	342	354	+41	-16	8.9	9.1
/162	664	13	1	+11.9	-4.7	2.6	pk7: 9
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#4Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#5Jerry May'64-'73 * career totals — 7 seasons, 1,716 PA	2.6	1,716	15	1	236*	314*	355*	+31	+0	5.6	5.6
/162	664	6	0	+11.8	+0.0	2.2	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	2.7	1,766	26	6	218	320	328	+32	+0	5.5	5.1
/162	664	10	2	+11.9	+0.0	2.1	pk7: 5
#6Glenn Borgmann'72-'80 * career totals — 8 seasons, 1,526 PA	2.3	1,526	16	4	229*	328*	338*	+27	+0	4.5	4.4
/162	664	7	2	+11.8	+0.0	2.0	pk7: 4

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Victor Ortega (OGILVIE)	23	—	—	—	—	210/322/301	90	267	1	1	21%	12%	84	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Scott Campbell 2008 · A	23	50→59	41→40	43→40	54	237/313/336	98	278	8	5	17%	9%	86	+0.3	256/323/350	94	299	8	5	16%	9%	93	+0.8	268/336/357	88	309	7	3	15%	9%	97	+0.8
✕Noah Mendlinger 2024 · AA	23	54→59	38→30	43→45	56	254/351/337	83	299	5	8	16%	10%	101	+1.4	259/338/331	72	304	3	8	14%	8%	95	+1.0	263/343/330	67	307	2	7	13%	8%	94	+0.7
✕Tucker Barnhart 2014 · AA	23	49→53	39→45	43→40	49	232/294/319	87	286	5	3	20%	8%	75	-0.5	232/288/316	84	277	6	3	17%	7%	72	-0.7	241/315/366	125	285	12	2	19%	9%	93	+0.6
✕Matthew Wood 2024 · A	23	45	37→45	46→45	54	214/299/282	68	265	5	5	20%	10%	70	-0.9	211/297/307	96	251	9	6	19%	10%	75	-0.5	205/299/321	116	233	13	6	17%	10%	78	-0.2
✕Anthony Dimino 2017 · A	23	50	36→40	48→50	50	233/300/299	66	295	3	9	21%	8%	73	-0.6	240/299/308	68	305	3	13	21%	7%	74	-0.5	249/306/310	61	313	3	17	20%	7%	74	-0.2
✕Carlos Mendoza 2024 · A	24	51→56	36→40	46→55	59	234/337/298	64	297	3	12	20%	12%	88	+0.4	244/331/331	87	301	6	17	19%	9%	93	+0.8	246/335/334	88	300	7	18	19%	10%	93	+0.6
●Justin Yurchak 2019 · A	22	49→59	39→40	41→40	51	234/299/318	84	286	6	2	20%	9%	77	-0.3	247/306/351	104	315	8	3	23%	8%	87	+0.4	272/336/375	103	335	10	2	20%	8%	101	+0.8
✕Cam Maron 2014 · A	23	50→58	37→40	47→40	50	235/306/312	77	303	4	3	22%	9%	78	-0.3	236/304/309	73	307	4	3	22%	9%	76	-0.4	247/317/312	65	316	4	2	21%	9%	79	-0.1
✕Jamie Johnson 2011 · A	24	49→56	38→40	47→50	59	230/324/313	83	288	4	7	20%	12%	85	+0.2	248/323/322	74	302	3	12	17%	10%	86	+0.3	255/332/321	66	308	2	15	16%	10%	88	+0.5
✕Greg Garcia 2013 · AA	23	52→55	40	46→50	51	247/324/346	99	306	7	9	20%	9%	93	+0.8	244/319/337	93	315	6	12	23%	8%	89	+0.5	240/347/331	91	307	6	3	21%	12%	100	+0.7
✕Rossmel Perez 2013 · AA	23	54→56	36→30	46→45	54	251/311/309	58	277	4	6	11%	8%	79	-0.2	252/301/319	67	274	4	6	9%	6%	77	-0.3	260/303/320	60	280	4	3	8%	5%	76	-0.2
✕Nick Haley 2008 · A	24	53→46	36→30	43→50	55	244/324/312	68	303	2	8	19%	10%	85	+0.2	220/293/286	66	299	3	12	25%	8%	68	-1.0	209/284/258	49	289	1	13	26%	8%	57	-1.2
✕Greg Cullen 2021 · A	24	45→44	41→40	43→40	48	218/299/320	102	275	8	3	23%	8%	78	-0.3	229/320/333	104	307	10	5	26%	10%	89	+0.5	229/333/321	92	311	9	4	26%	12%	89	+0.2
✕Jamie Ritchie 2016 · A	23	52→53	39→40	45	57	240/337/331	91	317	6	8	24%	12%	95	+0.9	235/319/321	86	314	6	6	25%	10%	86	+0.3	247/328/340	93	319	6	3	22%	9%	90	+0.3
✕Bruce Maxwell 2014 · A	23	48	41→45	46→30	47	232/286/328	95	283	8	3	20%	7%	74	-0.5	225/282/313	88	288	8	2	23%	7%	69	-0.9	237/303/355	118	312	11	1	26%	9%	86	+0.1
✕Brian Jeroloman 2008 · A	23	50→39	38→40	46→40	65	229/346/309	80	296	5	3	22%	15%	94	+0.9	220/316/315	95	307	8	2	27%	12%	84	+0.1	210/310/309	99	304	9	0	30%	12%	78	-0.2
✕Kawika Emsley-Pai 2012 · A	23	48	36→30	43→40	54	219/308/293	74	290	3	6	23%	11%	75	-0.5	189/289/261	72	273	4	7	29%	12%	62	-1.4	150/266/207	57	222	4	5	30%	13%	41	-0.8
✕Reese McGuire 2018 · AA	23	52→54	39→45	44→45	50	248/301/338	90	281	6	9	14%	7%	82	-0.0	231/287/349	118	281	12	7	22%	7%	80	-0.2	245/296/356	111	296	9	3	20%	6%	85	+0.1
✕Brett Pope 2019 · A	23	47	38→40	39→50	48	223/296/304	81	295	5	8	25%	8%	73	-0.6	220/281/301	81	290	5	10	24%	7%	67	-1.1	216/273/283	66	282	4	10	23%	6%	56	-1.0
✕Phil Clarke 2022 · A	24	45	41→40	44→45	46	219/293/320	101	273	8	4	22%	7%	76	-0.4	223/305/310	87	267	8	6	18%	9%	78	-0.3	232/316/308	77	265	7	7	15%	9%	78	-0.1

Victor Ortega

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps