Nick Rodriguez — OGILVIE

Nick Rodriguez2B Rocket City Trash Pandas

Age 23 L/R 5'10" / 185 lbs AA K +5%HR +4% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION546 act + 10 ros · stats below = ROS only

showingROS

wRC+†66

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP302

ISO82

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$1M ctrl surplus

Tools · ContractCON 49 / POW 37

Toolsscout grade

CONTACT49

scouting grade only

POWER37

scouting grade only

EYE52

scouting grade only

SPEED57

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	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Arb-1	$0.6M	—	—	—
2033	Arb-2	$0.4M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.7M	+$0.0M

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)
2025	22	A	Inland Empire 66ers	—	108	89	25	3	1	1	17	15	0	8	0	281	396	371	767	90	329	14	16	347	121	+3	+2	—	—	+2	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Inland Empire 66ers	—	108	94	22	2	1	1	12	20	0	8	0	234	321	309	629	74	286	19	11	282	77	-3	+2	—	—	+2	0.1
2025	22	A MLE	Inland Empire 66ers	—	108	94	22	2	1	1	12	20	0	8	0	234	321	309	629	74	288	19	11	282	77	—	—	—	—	—	—
2025	22	A RAW	Inland Empire 66ers	—	108	89	25	3	1	1	17	15	0	8	0	281	396	371	767	90	329	14	16	347	77	—	—	—	—	—	—
2025	22	A MLE	Inland Empire 66ers	—	108	95	22	2	1	1	12	20	0	8	0	232	321	305	626	74	286	19	11	282	77	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A MLE	Inland Empire 66ers	—	108	95	22	2	1	1	12	20	0	8	0	232	321	305	626	74	286	19	11	282	77	—	—	—	—	—	—
YTD	23	AA MLE	LAA	—	546	491	115	28	1	3	36	144	4	14	10	234	292	314	606	79	319	26	7	266	66	-22	-1	+0	+2	+12	-1.0
▸ 2026 season
YTD	23	AA RAW	LAA	—	546	475	121	31	1	4	52	118	4	14	10	255	333	349	683	95	325	22	10	304	66	—	—	—	—	—	—
ROS	23	AA MLE	LAA	2%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		303	30	10	266	66	-0	+0	+0	+0	+0	-0.0
TOT	23	AA MLE	LAA	—	556	500	116	28	1	3	37	147	4	14	10	232	290	310	600	78	317	26	7	266	66	-22	-1	+0	+2	+12	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	LAA	31%	335	306	70	16	1	4	24	86	2	7	4	229	289	327	616	98	303	26	7	280	75	-10	-0	+0	+1	+7	-0.2
2028	25	MLB MLE	LAA	45%	387	353	82	18	1	6	28	97	3	8	5	232	294	340	634	108	302	25	7	288	81	-9	-0	+0	+1	+8	0.0
2029	26	MLB MLE	LAA	51%	419	382	89	20	1	7	31	105	3	9	5	233	296	346	641	113	302	25	7	292	84	-8	-0	+0	+1	+9	0.2
2030	27	MLB MLE	LAA	53%	427	388	91	20	1	8	33	107	3	10	6	235	300	353	653	119	301	25	8	293	84	-8	-0	+0	+2	+9	0.2
2031	28	MLB MLE	LAA	53%	430	391	91	20	1	8	33	108	3	9	6	233	297	350	648	118	301	25	8	291	83	-8	-1	-1	+2	+9	0.1
2032	29	MLB MLE	LAA	53%	423	384	88	19	1	7	33	107	3	9	5	229	295	339	634	109	300	25	8	290	82	-9	-0	-1	+2	+9	0.0
2033	30	MLB MLE	LAA	52%	416	378	87	19	1	7	32	106	3	8	5	230	295	341	637	111	299	25	8	287	80	-10	-0	-2	+1	+9	-0.2
2027	24	MLB CTX	LAA	31%	104	95	21	5	0	1	7	27	1	2	1	221	282	305	587	84	302	26	7	274	75	-3	+0	+0	+0	+2	-0.0
2028	25	MLB CTX	LAA	45%	172	156	37	8	1	3	13	43	1	4	2	237	300	359	659	122	301	25	8	282	81	-4	+0	+0	+1	+4	0.0
2029	26	MLB CTX	LAA	51%	213	193	46	10	1	4	16	53	2	5	3	238	303	363	666	124	301	25	8	286	84	-4	-0	+0	+1	+5	0.1
2030	27	MLB CTX	LAA	53%	224	203	48	10	1	4	17	56	2	5	3	236	302	355	656	118	300	25	8	287	84	-4	-0	+0	+1	+5	0.1
2031	28	MLB CTX	LAA	53%	229	207	48	10	1	4	18	58	2	5	3	232	300	348	647	116	300	25	8	286	83	-5	-0	-0	+1	+5	0.1
2032	29	MLB CTX	LAA	53%	222	201	47	10	1	4	17	56	2	5	3	234	300	353	653	119	299	25	8	284	82	-5	-0	-1	+1	+5	-0.0
2033	30	MLB CTX	LAA	52%	217	196	46	10	1	4	17	56	2	4	3	235	302	357	659	122	298	26	8	281	80	-5	-0	-1	+1	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1381	1251	293	63	6	24	105	349	12	30	18	234	300	352	651	118	304	25	8	284	81	-30	-1	-2	+5	+30	0.2
/ 162G	—	A+C		—	650	589	138	30	3	11	49	164	6	14	8	234	300	351	651	117	305	25	8	284	81	-14	-1	-1	+2	+14	0.1
Career	—	MLE		—	2955	2685	621	134	8	48	227	739	20	68	36	231	296	341	637	109	300	25	8	288	81	-63	-2	-4	+10	+62	0.3
/ 162G	—	MLE		—	650	591	137	29	2	11	50	163	4	15	8	232	296	343	640	112	300	25	8	288	81	-14	-1	-1	+2	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#2Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#5Jose Castillolast yr '08 career totals — 5 seasons, 2,059 PA	3.1	2,059	39	13	254	296	379	+7	-14	1.9	1.9
/162	664	13	4	+2.4	-4.5	0.6	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.1	1,386	23	30	234	295	347	+5	+3	1.2	1.2
/162	664	11	14	+2.4	+1.4	0.6	pk7: 1
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1

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
Nick Rodriguez (OGILVIE)	23	44→49	32→37	52→57	52	222/281/301	79	303	1	5	26%	7%	66	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hoy Park 2019 · A	23	46→49	39→45	55	51	217/298/301	85	285	6	17	25%	9%	74	-0.6	228/306/324	96	300	7	16	24%	9%	81	-0.1	215/302/326	111	288	12	18	27%	10%	79	-0.2
✕Chandler Simpson 2023 · A	22	49→59	38→30	56→70	48	228/294/313	86	300	4	17	24%	8%	74	-0.5	270/314/320	50	311	1	59	13%	6%	82	-0.0	303/337/348	46	336	0	63	10%	5%	93	+0.8
✕Braiden Ward 2022 · A	23	49→47	37→40	47→70	47	224/312/299	75	314	4	10	28%	8%	79	-0.2	215/306/296	81	310	5	44	30%	6%	76	-0.4	224/314/320	95	301	5	64	25%	6%	81	-0.1
✕Nate Sutton 2006 · A	23	46→56	37→40	51→50	47	216/279/292	75	281	3	12	23%	7%	63	-1.4	239/287/335	96	295	8	16	21%	6%	76	-0.4	253/299/329	76	307	4	17	18%	6%	76	-0.4
✕Jake Peter 2016 · A	23	48→55	37→40	54→50	43	228/272/302	73	290	3	12	22%	5%	62	-1.4	234/282/319	85	314	7	9	26%	6%	70	-0.8	231/282/318	87	316	8	8	28%	6%	68	-0.8
✕Nate Mondou 2018 · A	23	49→54	36→45	49→50	45	227/282/301	74	302	3	11	25%	7%	66	-1.1	221/285/301	80	283	5	8	22%	7%	68	-1.0	226/302/321	95	291	7	9	23%	8%	77	-0.3
✕Davis Bradshaw 2021 · A	23	46	36→40	52→50	39	219/261/285	66	286	3	12	24%	4%	55	-2.0	252/305/325	73	319	4	11	21%	5%	80	-0.1	271/324/338	67	344	3	10	21%	5%	87	+0.2
✕Alvaro Ramirez 2009 · A	23	45	38→40	49→55	46	213/277/299	86	263	5	15	20%	6%	65	-1.2	238/293/315	77	287	5	16	18%	5%	74	-0.6	298/358/375	77	330	4	27	10%	5%	110	+0.8
✕Cody Milligan 2022 · A	23	43→53	35→40	46→60	43	199/271/261	62	305	2	13	33%	8%	54	-2.0	236/303/320	84	328	4	21	27%	8%	78	-0.3	242/306/333	92	329	4	28	26%	8%	81	-0.1
✕Chris Pieters 2018 · A	23	45	40→45	51→55	44	215/280/315	101	289	7	13	27%	7%	69	-0.9	208/260/300	92	298	6	11	30%	6%	58	-1.7	173/207/222	50	261	0	15	32%	4%	18	-0.8
✕James Ramsey 2013 · A	23	44→52	38→45	53→45	44	203/275/284	81	314	4	14	34%	9%	60	-1.6	227/296/345	118	320	12	8	30%	8%	82	+0.0	225/292/343	118	312	12	6	30%	8%	78	-0.2
✕Ryan Boldt 2018 · A	23	49→50	40→45	53→55	43	233/288/327	94	308	6	16	26%	6%	75	-0.5	234/290/353	119	307	9	16	25%	6%	82	-0.0	219/272/345	127	307	12	18	31%	6%	71	-0.4
✕Nathan Church 2023 · A	23	42→52	37→45	50→55	45	200/272/272	72	251	5	10	21%	6%	57	-1.8	234/288/317	83	274	6	16	16%	6%	72	-0.7	253/302/366	112	285	12	18	15%	6%	86	+0.3
✕Stephen Gaylor 2015 · A	23	47	37→30	52→55	39	219/266/296	77	308	4	9	29%	5%	59	-1.7	229/281/281	52	297	1	16	22%	6%	61	-1.5	228/281/269	40	297	1	19	22%	6%	54	-0.9
✕Logan Watkins 2012 · A	22	50→53	37→40	55	44	231/289/314	83	312	3	14	26%	7%	72	-0.7	227/290/323	96	300	6	17	25%	7%	74	-0.5	222/279/293	70	285	3	17	22%	6%	61	-0.7
✕Brad Coon 2006 · A	23	48→57	34→40	51→60	43	223/277/279	56	311	1	15	27%	7%	59	-1.6	244/306/310	66	311	2	28	20%	7%	77	-0.3	253/317/318	65	314	3	32	19%	7%	80	-0.1
✕Julio Gonzalez 2018 · A	23	48	35→30	55→50	50	223/288/289	66	286	2	12	22%	8%	66	-1.1	206/269/276	70	268	2	8	22%	8%	56	-1.9	173/238/228	55	217	0	5	19%	8%	31	-1.0
✕River Town 2022 · A	23	43→38	37→40	54→50	43	203/281/276	74	285	3	12	28%	7%	61	-1.5	210/295/314	104	266	10	15	23%	8%	76	-0.4	205/297/303	98	254	9	15	22%	9%	73	-0.4
✕Blake Rambusch 2023 · A	23	48	37→30	52→65	43	220/289/294	74	319	4	14	30%	7%	68	-1.0	230/314/295	65	316	3	29	25%	9%	78	-0.3	249/326/297	48	311	1	47	18%	9%	80	-0.1
✕John Schultz 2012 · A	23	47	36→40	50→45	48	216/290/285	69	295	2	7	26%	9%	66	-1.1	233/295/312	79	305	4	6	23%	8%	74	-0.6	261/321/336	74	327	5	5	20%	8%	85	+0.1

Career Stats + Projections

Career Comps

Career Path Comps