Jadher Areinamo — OGILVIE

Jadher Areinamo2B Montgomery Biscuits

Age 22 R/R 5'9" / 160 lbs AA HR +6%H +4% Svc 0.0 · Ctrl thru 2034 ILReassigned to Minors (RM)

2026 ROS PROJECTION329 act + 10 ros · stats below = ROS only

showingROS

wRC+†73

AVG/OBP/SLG—

PA1

HR0

K%20

BB%5

BABIP266

ISO121

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$20M ctrl surplus

Tools · ContractCON 57 / POW 42

Toolsscout grade

CONTACT57

scouting grade only

POWER42

scouting grade only

EYE45

scouting grade only

SPEED45

scouting grade only

DEFENSE57

scouting grade only

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	+0.6	$2M	+$1M
2030	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Arb-1	$3M	+0.7	$2M	+$0.3M
2033	Arb-2	$4M	+0.5	$1M	+$0.0M (cut)
2034	Arb-3	$5M	+0.4	$0.9M	+$0.0M (cut)
Totals		$5M		$10M	+$5M

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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

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)
2021	17	ROK	DSL Brewers 2	—	175	152	42	7	2	0	17	22	5	5	4	276	368	349	717	72	321	13	10	329	109	+2	-1	—	—	+4	0.5
2022	18	A+	Wisconsin Timber Rattlers	—	26	26	2	1	0	0	0	8	0	0	0	77	77	115	192	38	111	31	0	84	-57	-5	+0	—	—	+1	-0.4
2022	18	A	Carolina Mudcats	—	110	97	29	2	0	0	9	14	3	2	1	299	376	320	696	21	345	13	8	323	104	+1	+0	—	—	+2	0.3
2022	18	ROK	ACL Brewers Gold	—	149	127	41	10	3	1	19	19	2	4	4	323	419	472	891	150	370	13	13	395	154	+10	-1	—	—	+3	1.2
2023	19	A	Carolina Mudcats	—	420	396	121	26	1	4	17	52	2	16	5	306	337	407	744	101	339	12	4	329	109	+4	+1	—	—	+9	1.5
2024	20	A+	Wisconsin Timber Rattlers	—	467	425	128	30	0	10	33	52	2	32	8	301	354	442	797	141	319	11	7	350	123	+13	+3	—	—	+10	2.7
2025	21	AA	Montgomery Biscuits	—	159	141	36	8	0	4	12	19	2	6	0	255	321	397	718	142	264	12	8	315	100	-0	+1	—	—	+3	0.5
2025	21	A+	Wisconsin Timber Rattlers	—	415	367	109	24	2	11	34	48	4	15	8	297	362	463	825	166	309	12	8	358	129	+14	-0	—	—	+9	2.3
2025	21	INTL	Tiburones de La Guaira	—	163	143	52	6	1	13	14	20	2	5	1	364	425	692	1.117	329	345	12	9	470	204	+20	+1	—	—	+4	2.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Brewers 2	—	175	158	32	5	1	0	10	33	5	5	4	203	270	247	517	44	248	19	6	234	45	-12	-1	—	—	+4	-0.9
2022	18	A+ MLE	Wisconsin Timber Rattlers	—	26	26	2	1	0	0	0	11	0	0	0	77	77	115	192	38	91	42	0	55	-77	-5	+0	—	—	+1	-0.5
2022	18	A MLE	Carolina Mudcats	—	110	100	27	2	0	0	6	20	3	2	1	270	330	290	620	20	327	18	5	276	73	-4	+0	—	—	+2	-0.1
2022	18	ROK MLE	ACL Brewers Gold	—	149	135	32	7	2	1	11	28	2	4	4	237	304	341	645	104	291	19	7	287	80	-3	-1	—	—	+3	-0.1
2023	19	A MLE	Carolina Mudcats	—	420	402	99	19	1	3	10	75	2	16	5	246	267	321	588	75	285	18	2	256	59	-20	+1	—	—	+9	-1.0
2024	20	A+ MLE	Wisconsin Timber Rattlers	—	467	435	112	25	0	8	23	71	2	32	8	257	298	370	668	113	283	15	5	295	86	-8	+3	—	—	+10	0.6
2025	21	AA MLE	Montgomery Biscuits	—	159	146	32	7	0	3	8	23	2	6	0	219	269	329	598	110	230	14	5	270	69	-6	+1	—	—	+3	-0.1
2025	21	A+ MLE	Wisconsin Timber Rattlers	—	415	378	89	19	2	7	24	69	4	15	8	235	288	352	640	116	256	17	6	282	77	-11	-0	—	—	+9	-0.3
2021	17	ROK MLE	DSL Brewers 2	—	175	159	32	5	1	0	10	33	5	5	4	201	270	245	515	44	252	19	6	234	45	—	—	—	—	—	—
2021	17	ROK RAW	DSL Brewers 2	—	175	152	42	7	2	0	17	22	5	5	4	276	368	349	717	72	321	13	10	329	45	—	—	—	—	—	—
2022	18	ROK MLE	3 teams	—	285	261	60	9	2	1	17	59	5	6	5	230	290	291	581	61	291	21	6	262	63	—	—	—	—	—	—
2022	18	ROK RAW	3 teams	—	285	250	72	13	3	1	28	41	5	6	5	288	371	376	747	88	338	14	10	339	63	—	—	—	—	—	—
2023	19	A MLE	Carolina Mudcats	—	420	403	99	19	1	3	10	75	2	16	5	246	267	320	588	74	291	18	2	256	59	—	—	—	—	—	—
2023	19	A RAW	Carolina Mudcats	—	420	396	121	26	1	4	17	52	2	16	5	306	337	407	744	101	339	12	4	329	59	—	—	—	—	—	—
2024	20	A+ MLE	Wisconsin Timber Rattlers	—	467	435	112	25	0	8	23	71	2	32	8	257	298	370	668	113	287	15	5	295	86	—	—	—	—	—	—
2024	20	A+ RAW	Wisconsin Timber Rattlers	—	467	425	128	30	0	10	33	52	2	32	8	301	354	442	797	141	319	11	7	350	86	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	737	672	156	33	2	14	42	118	8	26	9	232	285	350	635	118	256	16	6	279	75	—	—	—	—	—	—
2025	21	A+ RAW	3 teams	—	737	651	197	38	3	28	60	87	8	26	9	303	367	499	866	197	307	12	8	374	75	—	—	—	—	—	—
2021	17	ROK MLE	DSL Brewers 2	—	175	158	32	5	1	0	10	33	5	5	4	203	270	247	517	44	248	19	6	234	45	—	—	—	—	—	—
2022	18	ROK MLE	3 teams	—	285	261	60	9	2	1	17	59	5	6	5	230	290	291	581	61	287	21	6	262	63	—	—	—	—	—	—
2023	19	A MLE	Carolina Mudcats	—	420	405	99	19	1	3	10	75	2	16	5	244	267	319	586	74	285	18	2	256	59	—	—	—	—	—	—
2024	20	A+ MLE	Wisconsin Timber Rattlers	—	467	439	112	25	0	8	23	71	2	32	8	255	298	367	665	112	283	15	5	295	86	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	737	681	156	33	2	14	42	118	8	26	9	229	285	345	630	116	249	16	6	279	75	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	A MLE	Carolina Mudcats	—	420	405	99	19	1	3	10	75	2	16	5	244	267	319	586	74	285	18	2	256	59	—	—	—	—	—	—
2024	20	A+ MLE	Wisconsin Timber Rattlers	—	467	439	112	25	0	8	23	71	2	32	8	255	298	367	665	112	283	15	5	295	86	—	—	—	—	—	—
2025	21	A+ MLE	3 teams	—	737	681	156	33	2	14	42	118	8	26	9	229	285	345	630	116	249	16	6	279	75	—	—	—	—	—	—
YTD	22	AA MLE	TB	—	329	310	66	12	0	10	13	71	1	9	3	213	247	348	595	135	241	22	4	254	58	-16	+1	+0	+1	+7	-0.8
▸ 2026 season
YTD	22	AA RAW	TB	—	303	280	72	13	0	13	18	58	1	9	3	257	304	443	747	186	280	19	6	326	58	—	—	—	—	—	—
YTD	22	AAA RAW	TB	—	26	24	3	1	0	0	1	0	0	0	0	125	160	167	327	42	120	0	4	146	58	—	—	—	—	—	—
ROS	22	AA MLE	TB	10%	10	10	1	0	0	0	0	2	0	0	0	100	100	100	200		258	20	0	276	73	-0	+0	+0	+0	+0	-0.0
▸ 2026 season — projected rest
ROS	22	MLB CTX	TB	10%	1	1	0	0	0	0	0	0	0	0	0						266	0	0	280	73	-0	+0	+0	+0	+0	-0.0
FULL	22	MLB A+C	TB	—	1	1	0	0	0	0	0	0	0	0	0							0	0	280	59	-0	+0	+0	+0	+0	-0.0
TOT	22	AA MLE	TB	—	339	320	67	12	0	10	13	73	1	9	3	209	243	341	583	131	237	22	4	255	59	-17	+1	+0	+1	+7	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TB	47%	570	533	125	25	1	15	29	105	3	9	3	235	278	370	647	135	262	18	5	287	80	-13	+1	+2	+2	+12	0.4
2028	24	MLB MLE	TB	60%	597	555	132	26	1	17	33	110	4	8	3	238	285	380	666	142	265	18	6	294	85	-11	+0	+3	+2	+13	0.8
2029	25	MLB MLE	TB	66%	615	570	136	27	1	18	36	113	4	8	3	239	289	384	673	146	266	18	6	298	88	-9	+0	+3	+2	+13	1.0
2030	26	MLB MLE	TB	68%	627	581	139	27	1	19	37	116	4	8	3	239	289	387	677	148	267	19	6	300	89	-8	+0	+3	+2	+14	1.1
2031	27	MLB MLE	TB	68%	629	582	139	27	1	19	38	117	4	8	3	239	290	387	677	148	267	19	6	300	89	-8	+0	+3	+2	+14	1.1
2032	28	MLB MLE	TB	68%	626	579	137	27	1	18	38	117	4	8	3	237	288	380	668	143	266	19	6	299	88	-9	+0	+2	+2	+14	1.0
2033	29	MLB MLE	TB	67%	617	570	135	26	1	18	38	116	4	8	2	237	289	381	670	144	266	19	6	297	87	-9	+1	+1	+2	+13	0.8
2034	30	MLB MLE	TB	66%	607	560	132	26	1	17	38	116	4	8	2	236	289	377	666	141	265	19	6	294	85	-11	+1	+1	+2	+13	0.6
2035	31	MLB MLE	TB	65%	594	548	127	25	1	16	37	115	4	7	2	232	285	369	654	137	262	19	6	290	82	-12	+1	-0	+2	+13	0.3
2036	32	MLB MLE	TB	65%	576	533	121	23	1	15	35	114	3	7	2	227	278	358	637	131	259	20	6	284	79	-15	+1	-1	+2	+12	-0.1
2027	23	MLB CTX	TB	47%	269	252	60	12	1	7	14	49	1	4	1	238	281	377	658	139	270	18	5	291	80	-6	+0	+1	+1	+6	0.2
2028	24	MLB CTX	TB	60%	357	332	81	16	1	10	20	66	2	5	2	244	291	389	680	145	273	18	6	297	85	-6	+0	+2	+1	+8	0.4
2029	25	MLB CTX	TB	66%	404	375	93	19	1	12	23	74	3	5	2	248	297	400	697	152	274	18	6	301	88	-6	+0	+2	+1	+9	0.6
2030	26	MLB CTX	TB	68%	429	398	98	20	1	13	25	79	3	6	2	246	296	399	695	153	275	18	6	303	89	-6	+0	+2	+2	+9	0.8
2031	27	MLB CTX	TB	68%	429	397	98	20	1	13	26	80	3	6	2	247	298	401	699	154	275	19	6	303	89	-6	+0	+2	+2	+9	0.8
2032	28	MLB CTX	TB	68%	426	394	96	19	1	13	26	80	3	5	2	244	296	396	691	152	274	19	6	302	88	-6	+0	+1	+2	+9	0.7
2033	29	MLB CTX	TB	67%	410	379	92	18	1	12	25	77	3	5	2	243	295	391	685	148	274	19	6	300	87	-6	+0	+1	+1	+9	0.5
2034	30	MLB CTX	TB	66%	398	368	90	18	1	12	25	76	2	5	2	245	296	397	693	152	272	19	6	297	85	-7	+0	+0	+1	+9	0.4
2035	31	MLB CTX	TB	65%	386	357	86	17	1	11	24	75	2	5	2	241	292	387	679	146	270	19	6	293	82	-8	+0	-0	+1	+8	0.2
2036	32	MLB CTX	TB	65%	373	345	80	16	0	10	23	74	2	4	1	232	284	365	649	133	267	20	6	287	79	-10	+0	-1	+1	+8	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3882	3598	874	175	9	113	231	730	24	50	18	243	293	391	684	148	274	19	6	298	81	-67	+3	+10	+14	+84	4.5
/ 162G	—	A+C		—	650	602	147	29	2	19	39	122	4	8	3	244	295	394	688	150	276	19	6	298	81	-11	+0	+2	+2	+14	0.8
Career	—	MLE		—	8152	7551	1783	350	16	198	461	1497	60	164	57	236	285	365	651	129	268	18	6	289	81	-106	+5	+16	+22	+131	7.0
/ 162G	—	MLE		—	650	602	142	28	1	16	37	119	5	13	5	236	286	365	652	130	267	18	6	289	81	-11	+1	+2	+2	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#2Kevin Pillarlast yr '24 career totals — 11 seasons, 4,353 PA	6.6	4,353	114	108	256	294	407	+9	+16	12.6	12.4
/162	664	17	16	+1.4	+2.5	1.9	pk7: 12
#3Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#4Jose Lopezlast yr '12 career totals — 9 seasons, 4,089 PA	6.2	4,089	92	25	262	292	395	+16	+24	10.7	10.7
/162	664	15	4	+2.6	+3.9	1.7	pk7: 11
#5Maikel Francolast yr '22 career totals — 9 seasons, 3,573 PA	5.4	3,573	130	5	244	293	414	+13	-5	9.3	9.6
/162	664	24	1	+2.4	-1.0	1.7	pk7: 10
#6Trevor Plouffelast yr '17 career totals — 7 seasons, 3,178 PA	4.8	3,178	103	12	243	306	411	+14	-18	8.4	8.4
/162	664	22	3	+2.8	-3.8	1.8	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	5.9	3,914	111	51	237	284	379	+14	+18	5.7	5.3
/162	664	19	9	+2.4	+3.1	1.0	pk7: 5

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
Jadher Areinamo (OGILVIE)	22	57	42	45	45	227/266/351	124	258	8	7	18%	5%	73	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Juarez 2012 · AAA	22	48→57	47→45	46→40	44	241/282/371	130	269	15	9	17%	5%	83	+0.1	241/282/355	114	278	11	7	17%	5%	79	-0.2	262/309/380	118	281	13	3	12%	6%	93	+0.5
✕Brandon Douglas 2009 · AA	23	51→55	45→40	49→50	45	253/293/375	122	278	13	11	15%	5%	88	+0.4	269/312/342	73	311	2	11	14%	5%	86	+0.3	275/315/345	70	318	1	14	13%	4%	85	+0.1
✕Alberto Carreon 2010 · AAA	22	45→55	45	43→50	47	223/293/345	122	251	13	10	17%	6%	82	-0.0	236/287/316	80	290	5	9	19%	5%	72	-0.7	266/322/370	104	333	7	11	21%	5%	94	+0.6
✕Jamie Westbrook 2017 · AA	22	48→52	42→50	47→45	42	233/270/338	105	271	10	9	18%	4%	70	-0.8	237/277/358	121	270	13	5	17%	4%	78	-0.3	240/311/368	128	286	13	4	20%	8%	91	+0.5
✕Jose Martinez 2008 · AA	22	50→54	44→45	42→40	45	245/281/359	114	260	12	6	12%	4%	79	-0.2	234/270/327	93	254	9	4	12%	3%	68	-1.0	254/298/347	93	278	8	4	12%	5%	81	-0.0
✕Gavin Cecchini 2016 · AA	22	50→57	41→45	45	48	241/292/346	104	284	7	6	18%	6%	80	-0.1	244/292/337	93	287	7	5	17%	6%	78	-0.3	244/291/331	87	285	6	4	16%	6%	72	-0.5
✕Yamaico Navarro 2010 · AA	22	49→55	44→50	48→50	42	238/284/359	120	296	11	8	23%	5%	80	-0.1	225/282/342	117	272	11	13	21%	7%	76	-0.4	225/294/367	142	260	18	11	21%	9%	86	+0.2
✕Ramón Urías 2016 · AAA	22	54→61	42→50	45→50	43	263/313/369	106	307	10	12	18%	4%	94	+0.9	261/327/387	126	314	12	12	20%	5%	104	+1.6	259/331/402	142	315	14	10	21%	6%	106	+0.9
✕Austin Romine 2011 · AA	22	48→53	44→45	46→45	41	239/276/358	120	290	11	5	22%	5%	77	-0.3	232/278/330	98	288	10	4	22%	6%	72	-0.7	252/290/393	141	316	18	2	26%	5%	90	+0.2
✕James Tomlin 2006 · AA	23	51→61	41→40	47→50	45	246/285/346	99	286	7	12	17%	5%	77	-0.3	251/288/344	93	295	5	13	16%	5%	78	-0.3	272/323/354	82	329	2	16	17%	6%	90	+0.4
✕Taylor Lindsey 2014 · AA	22	50→52	46→50	45	43	248/285/377	129	287	13	5	19%	4%	85	+0.2	205/257/314	109	242	11	6	20%	6%	60	-1.6	182/239/282	100	215	10	6	21%	6%	44	-1.9
✕Johnny Giavotella 2009 · A	22	51→60	41→45	46→50	47	243/288/343	100	281	7	10	16%	6%	78	-0.3	253/303/356	103	292	7	13	15%	6%	86	+0.3	277/324/382	105	319	7	10	15%	6%	97	+1.2
✕Chin-Lung Hu 2007 · AA	23	53→61	39→45	48→50	47	254/296/342	87	284	6	12	13%	5%	80	-0.1	259/293/366	107	292	8	11	14%	4%	84	+0.2	267/297/374	108	298	8	11	13%	4%	84	+0.1
✕Luis Santana 2021 · AA	22	50	39→45	48→50	48	236/306/325	89	282	6	8	18%	7%	82	-0.0	216/274/336	120	286	13	9	28%	6%	72	-0.7	215/272/344	129	278	15	8	27%	5%	70	-0.4
✕José Caballero 2019 · A	22	48→46	43→45	47→70	45	232/293/349	117	280	10	9	21%	6%	82	-0.0	219/293/329	110	283	9	26	25%	8%	78	-0.3	225/318/339	113	300	10	63	26%	9%	88	+0.3
✕Jose Lopez 2006 · MLB	22	50→59	45→55	41→45	43	247/282/384	137	274	11	8	15%	4%	86	+0.3	265/300/390	125	288	11	5	12%	4%	93	+0.8	270/301/415	146	279	17	3	11%	4%	96	+1.1
✕José Fermín 2022 · AA	23	47→51	41→45	46→55	47	225/282/323	98	250	9	10	14%	5%	72	-0.7	215/296/320	105	240	10	14	15%	8%	78	-0.3	244/330/367	123	265	11	26	12%	10%	98	+0.7
✕Gilberto Galaviz 2014 · AAA	22	50	42→40	46→30	41	246/281/347	101	288	10	6	19%	4%	76	-0.4	243/280/332	89	287	7	5	17%	4%	72	-0.7	257/294/301	45	287	3	1	11%	3%	68	-0.4
✕Matt Reynolds 2013 · A	22	46→56	42→45	50	43	227/282/329	102	274	9	10	21%	5%	74	-0.6	230/284/320	90	301	5	12	24%	6%	72	-0.7	231/309/364	132	313	10	6	27%	9%	88	+0.3
✕Brad Emaus 2010 · AA	24	49→54	43→45	48→50	50	238/297/353	115	266	10	9	15%	7%	84	+0.1	229/297/355	126	262	12	9	17%	8%	85	+0.2	223/295/350	127	252	13	9	17%	9%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps