Nieves Izaguirre

Nieves IzaguirreSS DSL Phillies

Age 18 R/R 5'9" / 160 lbs ROK HR +14% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION48 act + 7 ros · stats below = ROS only

showingROS

wRC+†60

AVG/OBP/SLG.167 / .286 / .167

PA7

HR0

K%29

BB%14

BABIP286

ISO86

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$16M ctrl surplus

Tools · 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
2026	MiLB	still in minors · estimated debut 2032
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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.1M
2036	Arb-2	$5M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$6M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$7M	+$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. 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	17	ROK	DSL Phillies Red	—	87	68	16	2	1	0	15	24	3	7	2	235	395	294	689	59	356	28	17	329	109	+1	+1	—	—	+2	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Phillies Red	—	87	74	11	1	1	0	9	35	3	7	2	149	267	189	457	41	274	40	10	222	36	-7	+1	—	—	+2	-0.4
2025	17	ROK MLE	DSL Phillies Red	—	87	74	11	1	1	0	9	35	3	7	2	149	267	189	457	41	275	40	10	222	36	—	—	—	—	—	—
2025	17	ROK RAW	DSL Phillies Red	—	87	68	16	2	1	0	15	24	3	7	2	235	395	294	689	59	356	28	17	329	36	—	—	—	—	—	—
2025	17	ROK MLE	DSL Phillies Red	—	87	75	11	1	1	0	9	35	3	7	2	147	267	187	454	40	274	40	10	222	36	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Phillies Red	—	87	75	11	1	1	0	9	35	3	7	2	147	267	187	454	40	274	40	10	222	36	—	—	—	—	—	—
YTD	18	ROK MLE	PHI	—	48	43	7	3	1	0	3	14	2	2	3	163	250	279	529	116	241	29	6	237	47	-3	-1	+0	+1	+1	-0.2
▸ 2026 season
YTD	18	ROK RAW	PHI	—	48	41	10	4	2	0	5	10	2	2	3	244	354	439	793	195	323	21	10	353	47	—	—	—	—	—	—
ROS	18	ROK MLE	PHI	0%	7	6	1	0	0	0	1	2	0	0	0	167	286	167	452		284	29	14	257	60	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	PHI	—	55	49	8	3	1	0	4	16	2	2	3	163	255	265	520	102	242	29	7	240	48	-3	-1	+0	+1	+1	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	PHI	34%	171	153	31	6	2	2	13	49	3	3	1	203	278	307	585	105	287	29	8	268	68	-7	+0	+0	+2	+4	-0.1
2028	20	MLB MLE	PHI	48%	314	280	60	12	4	4	25	89	6	6	2	214	293	329	621	114	289	28	8	277	74	-10	+0	+0	+3	+7	0.1
2029	21	MLB MLE	PHI	54%	424	379	81	16	5	6	34	118	8	8	3	214	292	330	622	116	290	28	8	283	78	-11	+0	+0	+5	+9	0.3
2030	22	MLB MLE	PHI	57%	502	447	97	19	6	8	41	138	9	10	3	217	296	340	636	123	291	27	8	287	80	-12	+1	+0	+5	+11	0.6
2031	23	MLB MLE	PHI	58%	555	494	108	21	6	10	45	152	11	11	3	219	298	346	644	128	292	27	8	290	82	-12	+1	+0	+6	+12	0.7
2032	24	MLB MLE	PHI	57%	590	526	116	22	7	11	48	161	11	11	4	221	299	352	651	131	293	27	8	292	84	-12	+1	+0	+6	+13	0.8
2033	25	MLB MLE	PHI	57%	610	543	120	23	7	11	50	166	12	12	4	221	301	350	651	129	293	27	8	293	85	-11	+1	+0	+7	+13	1.0
2034	26	MLB MLE	PHI	57%	620	552	122	23	7	12	51	169	12	12	4	221	301	353	654	132	293	27	8	294	85	-11	+1	+0	+7	+13	1.0
2035	27	MLB MLE	PHI	55%	622	553	122	23	7	12	52	170	12	12	4	221	301	353	654	132	293	27	8	294	85	-11	+1	+0	+7	+13	1.0
2036	28	MLB MLE	PHI	55%	618	549	121	23	7	12	52	170	12	11	4	220	302	353	655	133	292	28	8	293	85	-11	+1	-1	+7	+13	0.9
2037	29	MLB MLE	PHI	58%	609	541	118	23	7	11	51	169	12	10	3	218	300	348	647	129	292	28	8	292	84	-12	+1	-1	+7	+13	0.7
2038	30	MLB MLE	PHI	60%	599	532	115	22	6	11	51	167	11	9	3	216	298	342	640	126	291	28	9	289	82	-13	+1	-2	+6	+13	0.5
2039	31	MLB MLE	PHI	62%	585	520	110	21	6	10	49	165	11	8	2	212	293	333	626	121	288	28	8	285	79	-14	+1	-3	+6	+13	0.3
2027	19	MLB CTX	PHI	34%	59	53	11	2	1	1	5	17	1	1	0	208	288	340	628	132	289	29	8	258	68	-2	+0	+0	+1	+1	-0.0
2028	20	MLB CTX	PHI	48%	152	136	29	6	2	2	12	43	3	3	1	213	291	331	622	118	291	28	8	266	74	-5	+0	+0	+2	+3	0.0
2029	21	MLB CTX	PHI	54%	230	206	45	9	3	4	18	64	4	4	1	218	294	350	643	131	292	28	8	273	78	-6	+0	+0	+2	+5	0.2
2030	22	MLB CTX	PHI	57%	284	254	56	11	3	5	23	78	5	5	2	220	298	346	644	126	293	27	8	277	80	-7	+0	+0	+3	+6	0.3
2031	23	MLB CTX	PHI	58%	320	285	63	12	4	6	26	88	6	6	2	221	300	354	654	133	294	28	8	279	82	-7	+0	+0	+3	+7	0.4
2032	24	MLB CTX	PHI	57%	336	300	67	13	4	7	27	92	6	6	2	223	300	363	664	140	295	27	8	282	84	-7	+0	+0	+4	+7	0.5
2033	25	MLB CTX	PHI	57%	346	308	69	13	4	7	28	94	7	7	2	224	303	360	664	136	295	27	8	283	85	-6	+1	+0	+4	+7	0.6
2034	26	MLB CTX	PHI	57%	351	312	69	13	4	7	29	96	7	7	2	221	302	356	657	135	295	27	8	284	85	-6	+1	+0	+4	+8	0.6
2035	27	MLB CTX	PHI	55%	345	306	68	13	4	7	29	94	7	7	2	222	304	359	664	137	295	27	8	284	85	-6	+1	+0	+4	+7	0.6
2036	28	MLB CTX	PHI	55%	339	302	68	13	4	7	28	93	6	6	2	225	304	364	668	139	295	27	8	283	85	-6	+0	-0	+4	+7	0.5
2037	29	MLB CTX	PHI	58%	354	314	69	13	4	7	30	98	7	6	2	220	302	354	655	134	294	28	8	282	84	-7	+0	-1	+4	+8	0.4
2038	30	MLB CTX	PHI	60%	361	321	70	13	4	7	30	101	7	5	2	218	299	349	648	131	293	28	8	279	82	-8	+0	-1	+4	+8	0.3
2039	31	MLB CTX	PHI	62%	361	321	70	13	4	7	30	102	7	5	2	218	299	349	648	131	291	28	8	275	79	-9	+0	-2	+4	+8	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3838	3418	754	144	45	74	315	1060	73	68	22	221	300	354	654	133	295	28	8	279	81	-81	+5	-4	+41	+83	4.4
/ 162G	—	A+C		—	650	579	128	24	8	13	53	180	12	12	4	221	300	358	657	136	295	28	8	279	81	-14	+1	-1	+7	+14	0.8
Career	—	MLE		—	6913	6149	1333	255	78	120	572	1920	133	130	42	217	297	342	640	125	293	28	8	289	81	-146	+9	-7	+73	+148	7.8
/ 162G	—	MLE		—	650	578	125	24	7	11	54	181	13	12	4	216	298	339	637	123	293	28	8	289	81	-14	+1	-1	+7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny 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
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.9	3,916	68	70	218	295	345	+42	+24	7.2	6.2
/162	664	12	12	+7.1	+4.1	1.2	pk7: 5
#5Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#6Yolmer 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

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
Nieves Izaguirre (OGILVIE)	18	—	—	—	—	196/272/285	89	284	0	2	30%	8%	60	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Joey Curletta 2013 · A	19	39→48	36→50	48→45	35	180/239/242	62	304	3	5	40%	6%	37	-3.3	213/263/301	88	293	7	5	28%	6%	59	-1.6	207/272/364	156	289	20	4	34%	8%	77	-0.3
✕Mario Gonzalez 2010 · A	18	42	34→40	46→40	41	197/238/251	54	258	2	7	24%	5%	38	-3.2	203/281/267	64	256	3	5	20%	9%	59	-1.6	192/291/251	59	236	4	3	18%	10%	61	-0.5
✕Erick Gonzalez 2011 · A	20	38	34→40	43→50	42	182/243/237	55	268	2	7	31%	7%	37	-3.3	210/295/284	74	272	3	10	22%	10%	68	-1.0	214/322/287	73	261	2	14	16%	13%	77	-0.1
✕Reymond Nunez 2009 · A	18	39→42	36→45	40→30	34	185/231/246	61	294	4	3	37%	5%	34	-3.5	204/253/310	106	284	11	4	31%	5%	58	-1.7	198/239/291	92	284	10	2	33%	4%	46	-1.1
✕Derlin Figueroa 2022 · A	18	36→37	35→45	42→50	43	169/245/226	57	268	2	6	35%	8%	36	-3.3	199/267/319	120	277	13	9	31%	8%	66	-1.1	186/250/312	126	247	16	11	31%	7%	56	-0.9
✕Telvin Nash 2010 · A	19	39→23	37→55	44→30	34	183/231/257	75	305	4	5	40%	6%	37	-3.3	190/252/331	141	328	17	3	44%	7%	63	-1.3	171/258/352	181	270	27	1	45%	9%	69	-0.3
✕Jimmy Paredes 2008 · A	19	41→51	37→45	46→55	36	198/228/273	75	253	4	6	24%	3%	39	-3.1	217/248/300	83	275	4	12	22%	3%	53	-2.1	251/280/375	124	344	12	15	30%	4%	80	-0.1
✕Matt Dean 2013 · A	20	40→49	38→45	48→40	31	181/228/264	83	330	5	6	44%	5%	38	-3.2	218/260/327	109	337	9	5	36%	4%	64	-1.3	216/260/330	114	328	10	3	36%	4%	61	-1.0
✕Griffin Benson 2017 · A	19	39→25	36→45	47→30	38	188/238/247	58	273	3	4	31%	5%	37	-3.3	181/243/262	81	296	7	4	38%	6%	44	-2.8	154/228/257	103	263	11	2	43%	7%	35	-1.4
✕Henry Garcia 2013 · A	19	37	38→40	50→45	33	182/222/261	79	266	5	7	33%	3%	34	-3.5	192/231/269	77	285	5	5	33%	4%	40	-3.1	184/216/250	66	277	4	3	34%	3%	28	-1.0
✕Ramy Perez 2015 · A	20	37	35→30	47→50	40	177/236/235	58	246	3	6	28%	6%	34	-3.5	194/241/256	62	251	2	8	23%	5%	40	-3.0	190/232/242	52	239	1	9	20%	4%	31	-1.2
✕Raynay Guerrero 2013 · A	20	36	38→40	48→40	35	179/229/260	81	264	6	4	34%	5%	38	-3.2	190/235/264	74	255	5	4	27%	4%	40	-3.0	176/218/238	61	230	5	3	25%	3%	28	-1.2
✕Dalton Smith 2014 · A	20	38	37→40	44→30	36	183/231/255	71	277	5	5	34%	5%	36	-3.3	193/250/279	86	277	7	5	31%	6%	50	-2.3	164/225/246	82	226	8	1	30%	6%	32	-1.3
✕Luis Paz 2016 · A	20	38→33	36→45	45→40	41	182/234/243	62	253	3	6	28%	6%	35	-3.4	194/238/319	125	289	13	4	36%	5%	55	-2.0	180/222/332	151	262	18	2	38%	5%	49	-1.2
✕Joel Diaz 2015 · A	19	43	33→40	43→40	41	201/240/243	42	243	1	4	18%	3%	37	-3.3	207/247/288	81	261	6	5	22%	4%	50	-2.3	205/244/286	82	259	6	4	23%	4%	46	-1.0
✕Marcos Vargas 2006 · A	20	41	35→45	43→45	33	188/232/250	62	311	2	6	39%	5%	36	-3.4	198/249/298	100	287	9	6	33%	5%	54	-2.0	178/228/291	113	240	13	6	31%	4%	43	-1.1
✕Jonas Lantigua 2014 · A	19	40	35→30	43→45	36	189/234/253	63	281	2	3	32%	5%	37	-3.3	191/237/276	85	299	6	4	36%	5%	44	-2.8	165/205/254	89	260	8	3	39%	5%	25	-1.0
✕Robinson Arno 2012 · A	19	40	36→30	49→45	31	183/233/249	66	322	4	7	42%	5%	36	-3.4	178/238/268	90	318	7	6	43%	6%	43	-2.8	128/198/227	99	228	10	3	46%	6%	17	-0.9
✕Felix Lucas 2015 · A	18	40	38→40	49→30	31	159/240/234	75	367	6	5	53%	7%	38	-3.2	168/231/245	77	344	7	4	50%	6%	36	-3.4	120/181/184	65	236	9	0	50%	5%	2	-2.0
✕Hector Roa 2014 · A	19	35	42→45	43→40	31	182/214/286	104	271	11	5	37%	3%	37	-3.3	187/216/306	119	305	12	4	41%	3%	43	-2.8	168/190/300	131	273	14	1	44%	2%	28	-1.2

Career Stats + Projections

Career Comps

Career Path Comps