Victor Caratini — OGILVIE

Victor CaratiniC Minnesota Twins

Age 32 S/R 6'0" / 225 lbs MLB BB +3% Svc 8.297 · Ctrl thru 2027 peak 2.0 · 2026

wRC+†vL 116102vR 98

AVG/OBP/SLG.252 / .325 / .397

PA324

HR10

K%18

BB%7

MLB%100%

Scouting · now → future

HIT

55→55

PWR

45→45

SPD

30→30

EYE

47↗55

trajectory · 10 yrs

1.6peak

2026

Contract

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

Status FA

MLB Debut 2017

Service 8.297 yrs.days

Team Control Through 2027

First FA Year 2028

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$7M	+2.0	$16M	+$9M
2027	Ext / FA-deal	$7M	+1.2	$10M	+$3M
Totals		$14M		$26M	+$12M

Options · projected decision
2028	MUTUAL OPT	$2028.0M / $0.0M buyout	DECLINE
2029	MUTUAL OPT	$12.0M / $3.5M buyout	DECLINE

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	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
2013	19	ROK	Danville Braves	246	215	49	18	1	1	24	70	5	0	2	.228	.320	.335	.655	.107	.329	28	10	.285	76	-7	-1	+0	+4	+7	0.4
2014	20	A	Kane County Cougars	423	390	94	20	4	4	24	92	4	1	1	.241	.292	.344	.635	.103	.302	22	6	.277	70	-14	-0	+0	+8	+12	0.5
2015	21	A+	Myrtle Beach Pelicans	453	410	96	26	1	4	32	104	5	0	0	.234	.298	.332	.629	.098	.299	23	7	.277	70	-15	+0	+0	+8	+13	0.6
2016	22	AA	2 teams	555	496	135	29	3	6	42	121	7	2	1	.272	.338	.379	.717	.107	.341	22	8	.316	100	+0	+0	+0	+10	+16	2.6
2017	23	AAA	2 teams	392	360	108	26	3	10	22	71	4	1	0	.300	.347	.472	.819	.172	.344	18	6	.348	124	+11	+0	-0	+7	+11	2.9
2018	24	MLB	3 teams	405	359	88	15	0	7	28	89	12	0	0	.245	.321	.345	.666	.100	.303	22	7	.288	79	-10	+0	+0	+7	+11	0.9
2019	25	MLB	4 teams	367	322	82	14	0	14	37	75	5	1	0	.255	.341	.429	.769	.174	.288	20	10	.331	111	+5	+0	+3	+7	+10	2.5
2020	26	MLB	Chicago Cubs	132	116	29	7	0	1	12	31	4	0	1	.250	.341	.336	.677	.086	.333	23	9	.297	86	-2	-0	+2	+2	+4	0.6
2021	27	MLB	San Diego Padres	356	313	72	9	0	7	35	82	4	2	0	.230	.315	.326	.641	.096	.285	23	10	.269	64	-15	+0	+3	+6	+10	0.5
2022	28	MLB	2 teams	368	318	61	13	0	9	36	79	11	0	0	.192	.296	.318	.614	.126	.224	21	10	.272	66	-14	+0	+11	+7	+10	1.4
2023	29	MLB	Milwaukee Brewers	226	201	50	4	0	7	19	45	3	1	1	.249	.323	.373	.696	.124	.283	20	8	.303	90	-2	-0	+8	+4	+6	1.6
2024	30	MLB	Houston Astros	274	245	66	8	1	8	23	53	3	0	1	.269	.339	.408	.748	.139	.310	19	8	.323	105	+2	-0	+9	+5	+8	2.3
2025	31	MLB	Houston Astros	386	344	86	14	0	12	23	65	13	1	0	.250	.321	.395	.716	.145	.271	17	6	.320	103	+1	+0	-1	+7	+11	1.8
▸ 2026 Season (actual · ROS · total)
2026	32	MLB	Minnesota Twins	80	64	16	1	0	1	8	9	4	0	0	.250	.368	.312	.681	.062	.259	11	10	.304	90	-1	+0	+0	+1	+2	0.3
ROS	32	MLB	MIN	244	216	55	8	0	7	19	42	7	1	0	.255	.335	.389	.724	.134	.282	17	8	.324	106	+2	+0	+4	+4	+7	1.7
TOT	32	MLB	MIN	324	280	71	9	0	8	27	51	11	1	0	.254	.343	.371	.714	.118	.279	16	8	.319	102	+1	+0	+4	+6	+9	2.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	33	MLB	MIN	268	238	58	8	0	7	21	42	7	0	0	.244	.323	.366	.689	.122	.273	16	8	.319	102	+1	+0	-0	+5	+8	1.3
2028	34	MLB	MIN	221	196	48	7	0	6	17	37	6	0	0	.245	.324	.372	.697	.128	.272	17	8	.312	97	-1	+0	-2	+4	+6	0.8
2029	35	MLB	MIN	170	151	36	5	0	4	13	30	4	0	0	.238	.315	.351	.666	.113	.270	18	8	.304	91	-2	+0	-3	+3	+5	0.3
▸ Career Totals (MLE all levels + projections)
Career	—			5486	4890	1213	231	13	114	427	1128	104	10	7	.248	.322	.371	.692	.122	.297	21	8	.303	90	-61	-1	+32	+98	+155	22.9
/ 162G	—			650	579	144	27	2	14	51	134	12	1	1	.249	.322	.375	.697	.126	.297	21	8	.303	90	-7	-0	+4	+12	+18	2.7

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2013	19	ROK	Danville Braves	246	200	58	23	1	1	39	49	5	0	2	.290	.418	.430	.848	.140	.375	20	16	.382	151	+14	-1	—	—	+7	2.1
2014	20	A	Kane County Cougars	423	376	104	22	5	5	38	69	4	1	1	.277	.349	.402	.751	.125	.324	16	9	.334	114	+7	-0	—	—	+12	1.9
2015	21	A+	Myrtle Beach Pelicans	453	393	101	31	1	4	49	75	5	0	0	.257	.347	.372	.718	.115	.303	17	11	.323	106	+3	+0	—	—	+13	1.6
2016	22	AA	Tennessee Smokies	480	412	120	25	2	6	54	80	6	2	1	.291	.381	.405	.787	.114	.341	17	11	.351	127	+15	+0	—	—	+14	2.9
2016	22	INTL	Mesa Solar Sox	75	62	14	3	0	0	10	14	1	0	0	.226	.342	.274	.617	.048	.286	19	13	.287	78	-2	+0	—	—	+2	0.0
2017	23	MLB	Chicago Cubs	66	59	15	3	0	1	4	13	3	0	0	.254	.333	.356	.689	.102	.311	20	6	.316	100	+0	+0	-0	+7	+2	0.9
2017	23	AAA	Iowa Cubs	326	292	100	27	3	10	27	48	1	1	0	.342	.400	.558	.958	.216	.375	15	8	.412	173	+27	+0	—	—	+9	3.7
2018	24	MLB	Chicago Cubs	200	181	42	7	0	2	12	42	4	0	0	.232	.294	.304	.598	.072	.290	21	6	.272	66	-8	+0	+0	+7	+6	0.6
2018	24	AAA	Iowa Cubs	137	115	36	7	0	4	18	25	2	0	0	.313	.415	.478	.893	.165	.364	18	13	.394	160	+9	+0	—	—	+4	1.3
2018	24	INTL	Criollos de Caguas	68	49	14	1	0	2	12	5	6	0	0	.286	.478	.429	.906	.143	.279	7	18	.414	175	+6	+0	—	—	+2	0.8
2019	25	MLB	Chicago Cubs	279	244	65	11	0	11	29	59	3	1	0	.266	.351	.447	.798	.180	.305	21	10	.353	128	+9	+0	+3	+7	+8	2.7
2019	25	AAA	Iowa Cubs	18	18	5	1	0	0	0	1	0	0	0	.278	.278	.333	.611	.056	.294	6	0	.272	67	-1	+0	—	—	+1	-0.0
2019	25	A	South Bend Cubs	15	12	3	1	0	0	3	3	0	0	0	.250	.400	.333	.733	.083	.333	20	20	.346	123	+0	+0	—	—	+0	0.1
2019	25	INTL	Criollos de Caguas	55	41	9	2	0	0	12	5	2	0	0	.220	.418	.268	.686	.049	.250	9	22	.341	119	+1	+0	—	—	+2	0.3
2020	26	MLB	Chicago Cubs	132	116	28	7	0	1	12	31	4	0	1	.241	.333	.328	.661	.086	.321	23	9	.307	93	-1	-0	+2	+2	+4	0.7
2021	27	MLB	San Diego Padres	356	313	71	9	0	7	35	82	4	2	0	.227	.312	.323	.635	.096	.281	23	10	.290	80	-8	+0	+3	+6	+10	1.2
2022	28	MLB	Milwaukee Brewers	314	272	54	12	0	9	31	67	9	0	0	.199	.301	.342	.643	.143	.228	21	10	.294	83	-6	+0	+11	+7	+9	2.1
2022	28	INTL	Leones de Ponce	54	42	8	2	0	1	9	9	2	0	0	.190	.358	.310	.668	.119	.212	17	17	.313	98	-0	+0	—	—	+2	0.1
2023	29	MLB	Milwaukee Brewers	226	201	52	4	0	7	19	45	3	1	1	.259	.332	.383	.715	.124	.296	20	8	.320	103	+1	-0	+8	+4	+6	1.9
2024	30	MLB	Houston Astros	274	245	66	8	1	8	23	53	3	0	1	.269	.339	.408	.748	.139	.310	19	8	.333	113	+4	-0	+9	+5	+8	2.6
2025	31	MLB	Houston Astros	386	344	89	14	0	12	23	65	13	1	0	.259	.329	.404	.733	.145	.282	17	6	.325	107	+3	+0	-1	+7	+11	2.0
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2233	1975	482	75	1	58	188	457	46	5	3	.244	.324	.371	.695	.127	.286	20	8	.313	98	-6	-0	+34	+52	+63	14.6

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 Caratini (OGILVIE)	32	55	45	30	55	.251/.330/.385	.134	.275	9	1	15%	8%	106	+1.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Offerman 2001 · MLB	32	52→55	44→45	32→50	63	.252/.346/.367	.116	.278	12	3	14%	12%	107	+2.2	.253/.335/.364	.111	.288	10	7	15%	11%	101	+1.8	.252/.338/.362	.110	.289	9	8	15%	11%	98	+1.0
✕John Jaso 2017 · MLB	33	54→56	48→50	37→45	56	.267/.347/.424	.157	.308	14	3	18%	10%	122	+3.3	.242/.337/.416	.174	.284	18	5	20%	11%	116	+2.8	.209/.327/.408	.199	.239	21	2	22%	13%	102	+1.0
✕Edgar Gonzalez 2011 · MLB	33	50→57	47→45	37→50	48	.247/.311/.383	.136	.295	15	5	22%	8%	96	+1.5	.256/.305/.371	.115	.302	12	13	18%	6%	90	+1.0	.261/.305/.362	.101	.311	11	15	19%	6%	84	+0.4
✕Luis Antonio Rodriguez 2012 · MLB	32	47→51	46→45	39→45	57	.231/.306/.361	.129	.243	14	6	12%	10%	89	+0.9	.232/.294/.356	.124	.252	13	6	13%	7%	82	+0.5	.236/.294/.348	.112	.257	11	4	13%	7%	77	+0.1
✕Yangervis Solarte 2019 · MLB	32	48→58	51→55	41→45	50	.246/.302/.403	.158	.254	20	3	14%	7%	98	+1.6	.237/.289/.381	.144	.264	17	5	17%	7%	86	+0.8	.233/.268/.346	.112	.279	8	0	19%	4%	62	-0.2
✕Ty Wigginton 2010 · MLB	32	54→55	54→60	37→50	49	.275/.329/.452	.177	.296	22	4	16%	7%	122	+3.3	.247/.312/.403	.156	.277	19	4	18%	8%	102	+1.9	.234/.308/.385	.151	.267	18	4	19%	9%	91	+0.9
✕Iker Franco 2013 · AAA	32	47	49→50	39→40	48	.242/.300/.383	.141	.278	18	3	20%	7%	92	+1.2	.237/.292/.345	.108	.285	13	3	21%	7%	78	+0.2	.256/.311/.344	.088	.308	10	1	20%	7%	83	+0.2
✕Humberto Cota 2012 · AAA	33	54	47→50	35→30	51	.266/.333/.399	.133	.314	14	3	20%	9%	109	+2.4	.248/.312/.371	.123	.310	14	5	23%	8%	94	+1.3	.215/.285/.334	.120	.268	16	1	25%	8%	71	-0.1
✕Dioner Navarro 2016 · MLB	32	53→61	48→50	46→45	51	.263/.319/.398	.135	.287	17	4	15%	8%	103	+1.9	.226/.286/.351	.125	.265	14	5	20%	7%	77	+0.1	.193/.260/.287	.094	.235	10	1	21%	8%	47	-0.7
✕Tommy La Stella 2020 · MLB	31	53→55	50→55	40→50	53	.266/.329/.412	.146	.277	19	3	13%	8%	111	+2.5	.260/.328/.415	.155	.268	17	3	11%	9%	111	+2.5	.248/.320/.390	.142	.262	13	1	11%	9%	98	+0.7
✕Aledmys Díaz 2023 · MLB	32	48→58	51→55	41→45	46	.244/.296/.400	.156	.270	19	3	18%	6%	95	+1.4	.226/.281/.346	.120	.264	12	4	19%	6%	74	-0.1	.223/.277/.321	.098	.270	7	2	19%	5%	62	-0.5
✕John Buck 2012 · MLB	32	47→53	52→55	41→30	47	.244/.308/.411	.166	.292	20	2	24%	7%	102	+1.9	.223/.301/.370	.147	.271	18	3	24%	9%	89	+1.0	.212/.292/.346	.133	.260	17	1	25%	9%	71	-0.1
●Todd Walker 2004 · MLB	31	58→61	47→55	39→45	54	.286/.341/.431	.145	.304	13	4	11%	8%	121	+3.2	.279/.342/.435	.156	.293	15	3	10%	9%	122	+3.3	.279/.349/.433	.154	.290	15	1	10%	9%	118	+2.3
✕Elias Díaz 2023 · MLB	32	44→54	49→50	42→45	49	.224/.284/.371	.147	.253	17	2	19%	7%	82	+0.5	.245/.299/.378	.133	.297	14	2	22%	7%	89	+1.0	.247/.301/.371	.124	.303	14	1	22%	6%	86	+0.5
✕Andrés Blanco 2017 · MLB	33	53→47	47→50	41→50	48	.259/.320/.410	.152	.302	12	7	18%	7%	107	+2.2	.228/.299/.364	.136	.273	14	7	21%	7%	87	+0.8	.206/.283/.335	.129	.247	16	5	23%	7%	70	-0.2
✕Alberto Callaspo 2015 · MLB	32	51→61	42→45	37→45	58	.245/.319/.348	.102	.260	11	3	11%	10%	90	+1.0	.240/.309/.324	.084	.268	8	3	13%	9%	79	+0.3	.248/.311/.303	.055	.283	5	1	13%	8%	75	-0.0
✕Neil Walker 2019 · MLB	33	50→57	51→55	42→45	56	.252/.335/.412	.160	.286	19	3	19%	10%	114	+2.7	.248/.327/.385	.137	.302	14	5	21%	10%	104	+2.0	.261/.344/.390	.129	.317	12	5	20%	11%	104	+1.3
●Aaron Guiel 2004 · MLB	31	51→53	51→60	35→45	49	.256/.325/.425	.170	.289	18	6	18%	7%	114	+2.7	.234/.313/.415	.181	.269	21	6	21%	8%	106	+2.2	.219/.307/.407	.189	.249	24	4	23%	8%	101	+1.3
✕Jose Amador 2012 · AAA	32	53→63	48→55	39→45	48	.266/.319/.400	.135	.289	16	4	15%	6%	105	+2.1	.257/.309/.415	.158	.293	21	5	20%	5%	105	+2.1	.252/.329/.391	.140	.275	18	3	15%	8%	104	+1.4
✕Geoff Blum 2005 · MLB	32	50→58	47→50	42→45	51	.247/.302/.382	.135	.269	14	4	15%	7%	92	+1.2	.237/.293/.360	.123	.264	11	4	15%	7%	82	+0.5	.242/.306/.376	.135	.263	15	1	14%	7%	86	+0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)