Newremberg Rondon

Newremberg RondonC Lakeland Flying Tigers

Age 23 R/R 5'11" / 170 lbs A HR +5%H +3% Svc 0.0 · Ctrl thru 2036 peak 1.3 · 2030

wRC+†43

AVG/OBP/SLG.218 / .283 / .334

PA100

HR2

K%27

BB%7

MLB%0%

Scouting · now → future

HIT

44↗49

PWR

32↗37

SPD

43↗48

EYE

38↗43

trajectory · 10 yrs

1.3peak

2030

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+1.2	$11M	+$10M
2032	Ext / FA-deal	$0.9M	+1.1	$11M	+$10M
2033	Ext / FA-deal	$1.0M	+0.9	$4M	+$3M
2034	Ext / FA-deal	$1M	+0.7	$4M	+$2M
2035	Ext / FA-deal	$1M	+0.4	$2M	+$1M
2036	Ext / FA-deal	$7M	+0.1	$0.5M	-$7M
Totals		$12M		$32M	+$20M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2021	18	ROK	DSL Tigers	102	92	18	5	0	0	5	33	1	2	0	.196	.245	.250	.495	.054	.286	32	5	.224	30	-8	+0	+0	+2	+3	-0.3
2022	19	ROK	DSL Tigers 2	128	116	23	4	0	1	8	32	4	1	0	.198	.273	.259	.532	.060	.265	25	6	.234	37	-9	+0	+0	+2	+4	-0.3
2023	20	ROK	DSL Tigers 2	50	45	7	2	0	2	3	15	1	0	0	.156	.224	.333	.558	.178	.172	30	6	.246	46	-3	+0	+0	+1	+1	-0.1
2024	21	ROK	DSL Tigers 2	177	167	38	8	1	1	7	41	1	1	0	.228	.263	.305	.568	.078	.294	23	4	.250	50	-10	+0	+0	+3	+5	-0.2
2025	22	ROK	FCL Tigers	96	89	12	1	0	0	6	27	0	0	1	.135	.189	.146	.336	.011	.190	28	6	.160	-19	-13	-0	+0	+2	+3	-0.9
▸ 2026 Season (actual · ROS · total)
2026	23	A	Lakeland Flying Tigers	23	21	1	0	0	0	2	14	0	0	0	.048	.130	.048	.178	.000	.143	61	9	.114	-55	-4	+0	+0	+0	+1	-0.3
ROS	23	MLB	DET	77	70	15	3	0	1	6	21	1	1	0	.214	.286	.300	.586	.086	.287	27	8	.280	72	-2	+0	+0	+1	+2	0.1
TOT	23	MLB	DET	100	91	16	3	0	1	8	35	1	1	0	.176	.250	.242	.492	.066	.273	35	8	.242	43	-6	+0	+0	+2	+3	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 10%	DET	184	166	37	7	1	4	14	48	2	3	1	.223	.291	.349	.641	.127	.288	26	8	.288	79	-4	+0	+0	+3	+5	0.4
2028	25	MLB 25%	DET	279	252	58	11	2	6	22	71	3	5	1	.230	.300	.361	.661	.131	.289	25	8	.294	83	-5	+1	+0	+5	+8	0.8
2029	26	MLB 42%	DET	345	311	71	13	2	8	28	88	3	6	1	.228	.298	.360	.658	.132	.290	26	8	.297	86	-6	+1	+0	+6	+10	1.1
2030	27	MLB 58%	DET	379	340	77	14	2	9	32	97	4	7	1	.226	.301	.359	.659	.132	.290	26	8	.298	86	-6	+1	+0	+7	+11	1.3
2031	28	MLB 68%	DET	399	358	81	15	2	9	34	102	4	7	1	.226	.301	.355	.655	.128	.290	26	9	.297	86	-7	+1	-1	+7	+11	1.2
2032	29	MLB 77%	DET	403	362	81	15	2	9	34	105	4	6	1	.224	.297	.351	.648	.127	.289	26	8	.295	84	-7	+1	-1	+7	+11	1.1
2033	30	MLB 84%	DET	404	363	81	15	2	9	34	106	4	6	1	.223	.297	.350	.647	.127	.288	26	8	.292	82	-8	+1	-2	+7	+11	0.9
2034	31	MLB 91%	DET	383	344	76	14	2	8	32	102	4	5	0	.221	.295	.343	.638	.122	.286	27	8	.288	79	-9	+1	-3	+7	+11	0.7
2035	32	MLB	DET	357	321	70	13	2	7	30	97	3	4	0	.218	.291	.336	.627	.118	.285	27	8	.283	75	-10	+1	-4	+6	+10	0.4
2036	33	MLB	DET	320	287	61	11	2	6	27	89	3	4	0	.213	.287	.328	.615	.115	.283	28	8	.278	71	-11	+1	-4	+6	+9	0.1
2037	34	MLB	DET	273	246	51	9	1	5	23	79	2	3	0	.207	.280	.313	.593	.106	.281	29	8	.272	66	-10	+1	-5	+5	+8	-0.2
2038	35	MLB	DET	219	197	40	7	1	4	18	65	2	3	0	.203	.276	.310	.586	.107	.279	30	8	.264	60	-10	+1	-6	+4	+6	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			4575	4126	897	167	22	89	363	1218	46	64	8	.217	.288	.333	.621	.116	.284	27	8	.281	73	-139	+10	-25	+82	+130	5.8
/ 162G	—			650	586	128	24	3	13	52	173	7	9	1	.218	.290	.336	.627	.118	.285	27	8	.281	73	-20	+1	-4	+12	+18	0.8

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
2021	18	ROK	DSL Tigers	102	89	27	9	0	0	8	23	1	2	0	.303	.367	.404	.772	.101	.386	23	8	.335	114	+2	+0	—	—	+3	0.5
2022	19	ROK	DSL Tigers 2	128	111	30	6	0	1	13	22	4	1	0	.270	.367	.351	.719	.081	.330	17	10	.333	113	+2	+0	—	—	+4	0.6
2023	20	ROK	DSL Tigers 2	50	43	10	3	0	3	5	10	1	0	0	.233	.327	.512	.838	.279	.226	20	10	.359	133	+2	+0	—	—	+1	0.3
2024	21	ROK	DSL Tigers 2	177	163	51	11	1	2	11	28	1	1	0	.313	.360	.429	.789	.117	.366	16	6	.349	125	+5	+0	—	—	+5	1.0
2025	22	ROK	FCL Tigers	96	86	16	2	0	0	9	19	0	0	1	.186	.263	.209	.472	.023	.235	20	9	.224	30	-8	-0	—	—	+3	-0.5

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
Newremberg Rondon (OGILVIE)	23	44→49	32→37	43→48	43	.218/.283/.334	.116	.287	2	2	27%	7%	72	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕P.J. Higgins 2016 · A	23	44→54	41→45	54→40	42	.215/.265/.321	.106	.286	8	8	27%	6%	59	-1.1	.230/.300/.300	.070	.287	3	4	19%	8%	69	-0.4	.241/.304/.366	.126	.307	13	3	24%	8%	87	+0.5
✕Aaron McKeithan 2023 · A	23	45	40	45→40	44	.215/.290/.307	.093	.291	8	4	28%	7%	69	-0.4	.217/.295/.297	.080	.272	8	4	22%	7%	69	-0.4	.202/.287/.263	.061	.244	8	1	19%	7%	57	-0.4
✕Luis Perez 2014 · A	23	45	43→30	50	40	.222/.267/.338	.116	.279	10	9	24%	5%	66	-0.6	.219/.258/.331	.112	.307	10	6	30%	5%	59	-1.1	.217/.244/.347	.129	.299	11	2	31%	3%	54	-0.4
✕Taylor Krick 2011 · A	23	43	39→30	48→40	49	.206/.285/.289	.084	.266	7	7	24%	9%	62	-0.9	.224/.308/.287	.063	.307	4	5	26%	8%	71	-0.3	.233/.323/.283	.051	.326	2	2	26%	8%	73	-0.0
●Eduardo Valencia 2023 · A	23	44→54	42→50	49→30	45	.215/.282/.315	.100	.276	10	5	25%	7%	67	-0.5	.222/.280/.345	.123	.283	14	4	26%	7%	73	-0.1	.250/.305/.416	.166	.304	22	0	25%	6%	100	+1.0
✕Alexander Campos 2022 · A	22	43	42→40	46→45	48	.209/.289/.317	.108	.281	9	6	28%	9%	70	-0.3	.221/.304/.311	.090	.312	8	6	29%	9%	75	-0.0	.236/.329/.308	.072	.330	7	6	28%	11%	83	+0.2
✕Chris Denove 2006 · A	23	44	40	47→40	46	.212/.286/.304	.092	.282	7	6	26%	8%	66	-0.6	.200/.260/.271	.071	.268	4	4	25%	7%	46	-2.0	.245/.301/.340	.096	.298	7	3	19%	6%	79	+0.1
✕Paul Vasquez 2008 · A	23	47	43→45	52→30	39	.231/.271/.342	.111	.307	10	9	28%	5%	68	-0.5	.234/.273/.339	.105	.293	8	5	22%	3%	68	-0.5	.235/.269/.339	.104	.292	8	2	22%	2%	63	-0.3
✕Juan Mora 2023 · A	23	48	44→45	49→55	40	.233/.292/.354	.121	.319	11	9	29%	6%	81	+0.4	.222/.278/.329	.107	.294	10	10	27%	5%	69	-0.4	.201/.257/.290	.089	.256	9	14	24%	4%	50	-0.6
✕Chuckie Robinson 2018 · A	23	45→54	46→45	50→45	40	.224/.267/.354	.130	.282	13	7	26%	5%	69	-0.4	.198/.241/.306	.108	.279	11	7	32%	5%	46	-2.0	.236/.288/.362	.127	.293	16	7	24%	5%	78	+0.1
✕Jeferson Morales 2022 · A	23	41→46	47→45	48→50	48	.209/.291/.351	.142	.259	14	9	25%	8%	81	+0.4	.205/.282/.337	.132	.267	13	9	27%	7%	73	-0.1	.223/.298/.355	.132	.277	12	8	23%	7%	81	+0.2
✕Michael Garciaparra 2006 · A	23	52	41→40	45	45	.248/.315/.347	.099	.313	8	10	23%	7%	89	+0.9	.248/.315/.329	.081	.317	7	9	22%	7%	84	+0.6	.253/.319/.323	.070	.324	6	8	22%	7%	81	+0.2
✕Wilver Perez 2007 · A	23	48	41→45	45	44	.230/.290/.327	.097	.310	8	9	27%	7%	72	-0.2	.222/.278/.322	.100	.318	7	14	30%	7%	66	-0.6	.210/.261/.319	.108	.313	7	21	33%	6%	56	-0.3
✕Carter Jurica 2012 · A	23	44→54	42→40	48→45	46	.211/.288/.316	.105	.282	9	11	27%	8%	69	-0.4	.232/.291/.318	.086	.306	6	7	25%	7%	70	-0.3	.237/.294/.312	.075	.312	5	4	24%	7%	68	-0.4
✕Leo Jiménez 2023 · A	22	47→49	40→45	48→45	51	.222/.330/.318	.096	.290	7	9	24%	9%	90	+1.0	.229/.317/.341	.112	.289	10	7	23%	7%	89	+1.0	.230/.322/.343	.112	.289	11	5	22%	7%	88	+0.5
✕Justin Miller 2012 · A	23	50→53	40→45	50	44	.237/.297/.334	.097	.312	7	8	25%	7%	77	+0.1	.241/.299/.348	.107	.320	11	14	26%	7%	82	+0.5	.241/.302/.344	.103	.319	11	16	26%	7%	79	+0.2
✕José Caballero 2019 · A	22	48→45	43→45	48→70	45	.232/.292/.346	.114	.280	10	9	21%	6%	79	+0.3	.220/.293/.329	.109	.282	9	25	24%	7%	76	+0.0	.229/.321/.344	.115	.305	10	63	26%	9%	87	+0.6
✕Luis Martinez 2008 · A	23	46→56	41→40	49→40	40	.217/.271/.312	.095	.316	8	7	32%	7%	60	-1.0	.223/.292/.299	.076	.294	5	4	24%	8%	66	-0.6	.255/.318/.331	.076	.333	4	4	23%	8%	80	+0.2
✕Ramon Santana 2009 · A	23	43→53	44→45	49→45	39	.208/.278/.329	.120	.301	12	9	33%	6%	69	-0.4	.217/.280/.327	.110	.323	9	7	33%	6%	69	-0.4	.212/.276/.321	.109	.318	8	4	33%	6%	62	-0.4
✕Eric Fryer 2009 · A	23	51→59	44→45	51→50	43	.246/.297/.369	.123	.309	11	10	24%	6%	86	+0.8	.238/.302/.351	.113	.306	9	10	24%	7%	84	+0.6	.235/.309/.346	.111	.303	9	10	24%	8%	82	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)