Nick Rodriguez

2B Rocket City Trash Pandas

Age 24 L/R 5'10" / 185 lbs AA K +5%HR +4% Svc 0.0 · Ctrl thru 2035

Overview

AAPROSPECTMiLBFA 2036

ETA2029MLB%2%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	ASEA	108	.281/.396/.371	1	8	76	—	.232/.311/.305
2026	23	AALAA	546	.255/.333/.349	4	14	68	—	.236/.294/.320
2027PROJMLE	24	MLBLAA	4	.212/.272/.292	0	0	61	-0.0
2028PROJ31% MLB	25	MLBLAA	81	.216/.277/.308	1	2	67	-0.1
2029PROJ45% MLB	26	MLBLAA	136	.219/.280/.319	2	3	71	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Ext$0.9M2032Ext$0.9M2033Ext$3M2034Ext$5M+1

Skills · percentileMiLB Statcast 2026 AA

Whiff%84

Z-Con%80

K%66

Chase%51

BB%42

wRC+40

Career WAR0.0 WAR median (P10 -0.2 / P90 0.7, comp-based) · star 0% · didn't stick 94%

CompsPatrick Biondi (age 24) · Carlos Sepulveda (age 24) · Emmanuel Garcia (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†61

AVG/OBP/SLG.212 / .272 / .292

PA4

HR0

K%25

BB%7

BABIP289

ISO94

MLB%2%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 44 / POW 32

Toolsscout grade

CONTACT44

scouting grade only

POWER32

scouting grade only

EYE47

scouting grade only

SPEED52

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.8M	—	—	—
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.6M	+$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. 2027 = full-season projection (no games played yet). 2028+ 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	76	—	—	—	—	—	—
2026	23	AA	Rocket City Trash Pandas	—	546	475	121	31	1	4	52	118	4	14	10	255	333	349	683	95	325	22	10	304	68	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Inland Empire 66ers	—	108	95	22	2	1	1	11	20	0	8	0	232	311	305	617	74	288	19	10	280	76	—	—	—	—	—	—
2026	23	AA MLE	Rocket City Trash Pandas	—	546	491	116	30	1	3	36	144	4	14	10	236	294	320	614	84	308	26	7	268	68	—	—	—	—	—	—
2025	22	A MLE	Inland Empire 66ers	—	108	95	22	2	1	1	11	20	0	8	0	232	311	305	617	74	284	19	10	280	76	—	—	—	—	—	—
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	76	—	—	—	—	—	—
2026	23	AA MLE	Rocket City Trash Pandas	—	546	491	116	30	1	3	36	144	4	14	10	236	294	320	614	84	322	26	7	268	68	—	—	—	—	—	—
2026	23	AA RAW	Rocket City Trash Pandas	—	546	475	121	31	1	4	52	118	4	14	10	255	333	349	683	95	325	22	10	304	68	—	—	—	—	—	—
2025	22	A MLE	Inland Empire 66ers	—	108	96	22	2	1	1	11	20	0	8	0	229	311	302	613	73	288	19	10	280	76	—	—	—	—	—	—
2026	23	AA MLE	Rocket City Trash Pandas	—	546	501	116	30	1	3	36	144	4	14	10	232	294	313	607	82	308	26	7	268	68	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A MLE	Inland Empire 66ers	—	108	96	22	2	1	1	11	20	0	8	0	229	311	302	613	73	288	19	10	280	76	—	—	—	—	—	—
2026	23	AA MLE	Rocket City Trash Pandas	—	546	501	116	30	1	3	36	144	4	14	10	232	294	313	607	82	308	26	7	268	68	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	LAA	2%	380	348	74	17	1	3	26	102	3	7	4	214	273	295	569	81	291	27	7	259	61	-18	-0	+0	+1	+8	-0.3
▸ 2027 — real world (MLB)
2027	24	MLB CTX	LAA	2%	4	4	1	0	0	0	0	1	0	0	0	212	272	292	564	80	289	25	0	256	61	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	LAA	31%	260	238	52	12	1	3	18	69	2	5	2	218	279	312	590	94	292	27	7	267	67	-10	+0	+0	+1	+6	-0.4
2029	26	MLB MLE	LAA	45%	305	278	61	14	1	4	22	80	2	6	3	221	282	322	604	101	292	26	7	273	71	-11	+0	+0	+1	+7	-0.3
2030	27	MLB MLE	LAA	49%	321	293	64	14	1	4	23	84	2	6	3	221	283	324	607	103	291	26	7	274	71	-11	+0	+0	+1	+7	-0.3
2028	25	MLB CTX	LAA	31%	81	74	16	4	0	1	6	22	1	2	1	216	277	308	585	92	289	27	7	265	67	-3	+0	+0	+0	+2	-0.1
2029	26	MLB CTX	LAA	45%	136	124	27	6	0	2	10	36	1	3	1	219	280	319	599	100	289	26	7	271	71	-5	+0	+0	+0	+3	-0.1
2030	27	MLB CTX	LAA	49%	158	145	32	7	1	2	11	42	1	3	2	219	281	321	602	102	289	27	7	272	71	-5	-0	+0	+1	+3	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	375	343	75	17	1	5	27	100	3	8	4	219	282	318	599	99	292	27	7	270	68	-13	+0	+0	+1	+8	-0.4
/ 162G	—	A+C		—	650	595	130	29	2	9	47	173	5	14	7	218	281	319	601	101	291	27	7	270	68	-23	+0	+0	+2	+14	-0.7
Career	—	MLE		—	1750	1587	357	82	6	17	124	453	12	43	20	225	286	316	602	91	301	26	7	269	68	-41	+0	+0	+4	+24	-1.4
/ 162G	—	MLE		—	650	589	132	30	2	6	46	168	4	16	7	224	284	312	597	88	300	26	7	269	68	-25	+0	+0	+2	+14	-0.8

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 AARocket City Trash Pandas · 546 PAwOBA .300 → .268 (−32)K% 21.6% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.61%	÷1.000	×1.220	—	—	26.37%
BB% (unintentional) /PA	9.52%	÷1.000	×0.680	—	×1.012	6.55%
HBP% /PA	0.73%	—	×0.840	—	×1.012	0.62%
Singles /BIP	23.81%	÷1.000	×0.920	×1.024	×1.012	22.69%
Doubles /BIP	8.68%	÷1.000	×0.910	×1.024	×1.012	8.19%
Triples /BIP	0.28%	÷1.000	×0.880	×1.024	×1.012	0.26%
Home runs /BIP	1.12%	÷1.000	×0.800	—	×1.012	0.91%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .300 → .268; ISO .095 → .087; BABIP .325 → .308. 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 AInland Empire 66ers · 108 PAwOBA .339 → .280 (−59)K% 13.9% → 18.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.89%	÷1.008	×1.360	—	—	18.73%
BB% (unintentional) /PA	15.74%	÷1.011	×0.690	—	×0.990	10.64%
HBP% /PA	0.00%	—	×0.780	—	×0.990	0.00%
Singles /BIP	27.03%	÷1.066	×0.920	×1.040	×0.990	24.01%
Doubles /BIP	4.05%	÷1.065	×0.830	×1.040	×0.990	3.25%
Triples /BIP	1.35%	÷0.997	×0.910	×1.040	×0.990	1.27%
Home runs /BIP	1.35%	÷1.036	×0.800	—	×0.990	1.03%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 113, 2B 113, 3B 99, K 102, BB 102 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .339 → .280; ISO .090 → .076; BABIP .329 → .288. 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
#1Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#2Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
#3Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	3.1	2,067	31	14	225*	286*	340*	+5	-0	-1.5	0.0
/162	664	10	4	+1.6	-0.1	-0.5	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.6	379	5	7	221	279	322	+1	+1	-0.2	-0.1
/162	664	9	13	+2.4	+1.8	-0.3	pk7: 0
#4Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#5Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1
#6Enrique Wilson'97-'05 * career totals — 7 seasons, 1,537 PA	2.3	1,537	22	14	233*	276*	337*	+8	+1	-2.5	-1.4
/162	664	10	6	+3.4	+0.4	-1.1	pk7: -0

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)	24	44	32	52	47	212/271/293	81	291	2	4	27%	7%	61	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Patrick Biondi 2015 · A	24	44	36→30	50→60	45	210/268/277	67	279	3	15	25%	7%	55	-1.9	229/282/293	64	305	3	25	24%	6%	64	-1.3	235/292/289	54	313	2	32	24%	7%	64	-0.8
✕Carlos Sepulveda 2021 · A	24	45	34→30	49→45	47	210/273/263	53	280	2	12	24%	8%	55	-2.0	210/278/281	71	273	4	7	23%	8%	61	-1.5	191/263/253	62	247	4	3	23%	8%	46	-1.3
✕Emmanuel Garcia 2010 · AA	24	50→51	36→30	49→55	42	234/280/299	65	310	4	17	25%	6%	65	-1.2	216/263/290	74	309	5	19	30%	6%	57	-1.8	181/225/217	35	284	0	35	34%	5%	22	-1.5
✕Jordan Cowan 2019 · A	24	50→51	36→30	48→50	44	237/286/298	61	309	3	10	24%	6%	66	-1.1	231/291/293	62	298	4	15	22%	7%	68	-1.0	223/289/279	56	287	3	17	22%	8%	61	-0.9
✕Damon Dues 2022 · A	24	45	36→30	44→60	43	204/281/269	65	308	3	7	32%	8%	59	-1.6	226/318/291	65	328	2	23	28%	11%	78	-0.3	239/341/300	61	339	1	37	26%	13%	86	+0.1
✕Tim Arakawa 2017 · AAA	24	44→42	36→30	48→50	49	206/276/275	68	269	4	10	24%	9%	59	-1.7	214/279/294	80	299	7	12	28%	8%	63	-1.3	210/277/273	63	306	8	13	32%	8%	59	-0.8
✕Darren Baker 2023 · AA	24	52→58	37→30	49→60	44	245/289/320	75	312	4	12	22%	6%	72	-0.7	253/302/313	60	329	2	25	22%	7%	76	-0.4	258/312/308	50	335	1	32	22%	7%	75	-0.4
✕Branden Cogswell 2017 · A	24	46	35→30	48→45	46	213/278/274	61	295	3	7	27%	8%	59	-1.7	225/282/291	66	300	2	8	24%	7%	63	-1.3	232/287/280	47	306	0	5	22%	7%	60	-1.0
✕Sergio Burruel 2014 · AAA	23	45	36→30	50→30	44	212/270/278	67	290	3	8	27%	7%	57	-1.8	243/291/312	69	318	5	5	24%	6%	72	-0.7	247/310/316	70	302	6	1	19%	7%	78	-0.1
✕Evan Marzilli 2015 · AA	24	44→46	39→40	48→50	42	209/272/298	89	301	5	10	31%	7%	62	-1.4	206/280/290	84	296	4	13	29%	8%	63	-1.3	201/283/278	77	286	4	15	28%	9%	60	-1.0
✕Frainyer Chavez 2023 · AAA	24	46→47	36→40	50	45	215/279/279	64	294	3	14	26%	7%	60	-1.6	209/270/284	75	286	6	12	27%	7%	58	-1.7	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Stephen Gaylor 2017 · AA	25	48	34→30	49→55	43	225/276/274	49	292	2	18	23%	6%	57	-1.8	216/268/284	68	288	4	15	25%	6%	57	-1.8	202/252/252	49	269	0	18	23%	5%	40	-0.9
✕Forrestt Allday 2015 · A	24	49→47	37→30	44→50	44	226/296/305	79	310	3	8	26%	7%	73	-0.6	230/306/289	59	296	3	10	21%	8%	74	-0.6	235/316/274	39	292	2	12	18%	9%	72	-0.3
✕Jake Thomas 2017 · A	24	42	37→30	48→50	44	199/266/270	71	279	4	7	28%	8%	54	-2.0	212/299/285	73	320	3	9	31%	11%	70	-0.8	207/318/264	57	323	1	10	31%	14%	71	-0.4
✕Junior Sosa 2015 · AA	24	47	36→30	47→55	44	221/267/288	67	278	3	13	21%	6%	57	-1.8	224/283/292	68	294	4	10	23%	7%	65	-1.2	222/291/248	26	301	0	9	24%	8%	55	-1.2
✕Adam Melker 2012 · A	24	46	35→40	46→50	44	214/279/276	62	303	2	11	28%	7%	60	-1.6	230/279/318	88	296	8	10	24%	6%	69	-0.9	235/279/323	87	292	9	11	22%	5%	68	-0.6
✕Wyatt Young 2024 · AAA	24	47→57	38→40	50	48	223/289/299	76	293	6	10	25%	8%	69	-0.9	229/302/293	64	310	4	15	25%	9%	72	-0.7	229/306/276	47	312	3	18	25%	9%	68	-0.6
✕John Mora 2018 · AAA	25	47→50	38→40	47→50	45	222/280/307	85	289	4	11	24%	7%	67	-1.1	214/268/307	93	293	6	9	27%	6%	63	-1.4	203/257/306	102	277	6	5	27%	6%	57	-1.2
✕Collin Burns 2024 · AA	24	44	39→45	55	42	214/269/299	85	280	6	17	25%	6%	61	-1.5	205/262/287	82	281	6	16	28%	6%	56	-1.9	192/249/262	70	263	5	18	27%	5%	42	-1.8
✕Dallas Poulk 2012 · A	24	47	35→30	45→50	47	219/280/285	66	292	1	10	24%	8%	62	-1.4	202/271/274	72	295	3	8	30%	8%	57	-1.8	174/253/234	59	265	3	6	32%	9%	39	-2.0

Nick Rodriguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps