Eliezer Alfonzo — OGILVIE

Eliezer AlfonzoC Oklahoma City Comets

Age 26 S/R 5'10" / 155 lbs AAA HR +15%K -3% Svc 0.0 · Ctrl thru 2033 peak 0.8 · 2028

wRC+†75

AVG/OBP/SLG.238 / .279 / .333

PA250

HR4

K%12

BB%5

MLB%10%

Scouting · now → future

HIT

50→50

PWR

30→30

SPD

40→40

EYE

36↘35

trajectory · 10 yrs

0.8peak

2028

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.8	$3M	+$3M
2029	Arb-1	$0.8M	+0.7	$3M	+$2M
2030	Arb-2	$0.9M	+0.6	$3M	+$2M
2031	Arb-3	$0.6M	+0.4	$2M	+$1M
2032	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2033	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$11M	+$7M

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
2017	17	ROK	DSL Tigers	182	162	41	3	1	0	16	26	3	5	1	.253	.331	.284	.615	.031	.299	14	9	.276	69	-6	+1	+0	+3	+5	0.3
2018	18	ROK	GCL Tigers West	216	190	51	9	1	1	18	24	3	6	2	.268	.341	.342	.683	.074	.294	11	8	.298	86	-3	+0	+0	+4	+6	0.7
2021	21	A+	2 teams	403	377	94	15	1	8	20	49	2	3	2	.249	.291	.358	.649	.109	.265	12	5	.280	72	-13	-0	+0	+7	+11	0.6
2022	22	A+	2 teams	86	77	21	2	0	2	5	17	1	0	0	.273	.325	.377	.702	.104	.317	20	6	.300	88	-1	+0	+0	+2	+2	0.3
2023	23	A+	2 teams	468	432	103	14	0	9	24	42	6	0	0	.238	.288	.333	.621	.095	.245	9	5	.271	66	-18	+0	+0	+8	+13	0.3
2024	24	AA	2 teams	580	546	133	17	0	13	20	57	7	3	2	.244	.279	.346	.625	.103	.248	10	3	.272	66	-22	-0	+0	+10	+16	0.5
2025	25	INTL	3 teams	484	451	103	22	0	2	21	75	6	1	0	.228	.272	.290	.562	.062	.266	15	4	.241	42	-32	+0	+0	+9	+14	-0.9
▸ 2026 Season (actual · ROS · total)
2026	26	AAA	Oklahoma City Comets	48	44	12	2	0	0	4	5	0	0	1	.273	.333	.318	.652	.045	.308	10	8	.301	89	-1	-0	+0	+1	+1	0.1
ROS	26	MLB	LAD	202	189	46	8	0	3	10	25	1	1	1	.243	.285	.333	.618	.090	.265	12	5	.280	72	-6	-0	+0	+4	+6	0.3
TOT	26	MLB	LAD	250	233	58	10	0	3	14	30	1	1	2	.249	.294	.330	.625	.082	.274	12	6	.284	75	-7	-1	+0	+4	+7	0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 25%	LAD	295	273	68	12	0	5	18	36	2	1	1	.249	.300	.348	.648	.099	.269	12	6	.290	80	-7	-0	+0	+5	+8	0.7
2028	28	MLB 37%	LAD	334	308	77	13	1	6	21	44	2	1	1	.250	.302	.357	.659	.107	.270	13	6	.292	81	-7	-0	-1	+6	+9	0.8
2029	29	MLB 47%	LAD	349	320	79	14	1	6	23	49	3	0	1	.247	.303	.353	.657	.106	.270	14	7	.291	81	-7	-0	-1	+6	+10	0.7
2030	30	MLB 55%	LAD	360	330	81	14	1	6	24	52	3	0	0	.245	.303	.348	.651	.103	.269	14	7	.289	79	-8	+0	-2	+6	+10	0.6
2031	31	MLB 66%	LAD	340	313	76	13	1	6	22	51	2	0	0	.243	.297	.348	.645	.105	.268	15	6	.285	76	-9	+0	-3	+6	+10	0.4
2032	32	MLB 75%	LAD	315	289	68	12	0	5	21	49	2	0	0	.235	.292	.329	.620	.093	.267	16	7	.280	73	-10	+0	-4	+6	+9	0.1
2033	33	MLB 83%	LAD	279	257	59	10	0	4	18	45	2	0	0	.230	.285	.315	.600	.086	.265	16	6	.275	69	-10	+0	-4	+5	+8	-0.1
2034	34	MLB 89%	LAD	234	216	49	8	0	3	15	40	1	0	0	.227	.280	.306	.586	.079	.264	17	6	.269	64	-10	+0	-5	+4	+7	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			5127	4730	1149	186	7	79	296	681	46	21	11	.243	.294	.335	.629	.092	.267	13	6	.278	71	-169	-0	-20	+92	+145	4.9
/ 162G	—			650	600	146	24	1	10	38	86	6	3	1	.243	.295	.337	.632	.093	.267	13	6	.278	71	-21	+0	-2	+12	+18	0.6

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
2017	17	ROK	DSL Tigers	182	151	46	4	1	0	26	18	3	5	1	.305	.414	.344	.759	.040	.343	10	14	.353	128	+6	+1	—	—	+5	1.2
2018	18	ROK	GCL Tigers West	216	179	58	11	1	1	29	17	3	6	2	.324	.427	.413	.840	.089	.343	8	13	.375	145	+11	+0	—	—	+6	1.8
2021	21	A+	West Michigan Whitecaps	232	213	58	11	0	1	16	24	0	1	2	.272	.323	.338	.661	.066	.298	10	7	.297	86	-4	-1	—	—	+7	0.2
2021	21	A	Lakeland Flying Tigers	171	156	48	7	1	7	12	11	2	2	0	.308	.365	.500	.865	.192	.295	6	7	.379	148	+9	+0	—	—	+5	1.5
2022	22	A+	West Michigan Whitecaps	58	48	17	1	0	2	6	6	1	0	0	.354	.436	.500	.936	.146	.357	10	10	.397	162	+4	+0	—	—	+2	0.6
2022	22	A	Lakeland Flying Tigers	28	27	5	1	0	0	1	6	0	0	0	.185	.214	.222	.437	.037	.238	21	4	.200	11	-3	+0	—	—	+1	-0.2
2023	23	A+	West Michigan Whitecaps	395	356	94	14	0	8	28	28	5	0	0	.264	.326	.371	.696	.107	.266	7	7	.311	96	-2	+0	—	—	+11	1.0
2023	23	INTL	Leones del Caracas	73	61	23	4	1	1	10	4	1	0	0	.377	.472	.525	.997	.148	.393	5	14	.437	193	+8	+0	—	—	+2	1.0
2024	24	AA	Erie SeaWolves	396	364	93	14	0	9	23	31	4	2	2	.255	.306	.368	.674	.113	.256	8	6	.301	88	-5	-0	—	—	+11	0.6
2024	24	INTL	Navegantes del Magallanes	184	157	50	11	0	7	21	9	3	1	0	.318	.409	.522	.931	.204	.299	5	11	.405	168	+14	+0	—	—	+5	2.0
2025	25	AAA	Toledo Mud Hens	33	32	7	1	0	0	0	4	0	0	0	.219	.212	.250	.462	.031	.250	12	0	.203	14	-3	+0	—	—	+1	-0.2
2025	25	AA	Erie SeaWolves	217	195	49	13	0	1	16	28	1	0	0	.251	.308	.333	.642	.082	.286	13	7	.287	78	-5	+0	—	—	+6	0.1
2025	25	INTL	Navegantes del Magallanes	234	205	61	9	0	5	21	19	5	1	0	.298	.377	.415	.791	.117	.304	8	9	.354	129	+8	+0	—	—	+7	1.5

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
Eliezer Alfonzo (OGILVIE)	26	50	30	40	35	.238/.279/.333	.095	.260	4	1	12%	5%	70	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ramón Cabrera 2017 · MLB	27	53→59	39→40	42→40	46	.256/.291/.340	.084	.290	7	4	15%	5%	76	+0.0	.222/.267/.331	.109	.264	11	6	20%	5%	64	-0.8	.179/.228/.290	.111	.210	11	2	21%	5%	33	-1.0
✕Rodrigo Aguirre 2010 · AAA	26	49	43→30	41→45	46	.241/.284/.354	.113	.270	11	7	16%	5%	76	+0.1	.253/.299/.333	.080	.289	5	5	13%	6%	77	+0.1	.275/.304/.332	.057	.316	4	5	14%	4%	76	+0.0
✕Fernando Flores 2017 · AAA	25	51	40	38→40	41	.246/.279/.338	.092	.291	8	5	18%	4%	69	-0.4	.242/.271/.337	.095	.290	8	4	19%	4%	66	-0.6	.242/.266/.320	.078	.286	5	0	17%	3%	59	-0.5
✕Tomás Telis 2017 · MLB	26	55→60	40→45	47→45	44	.263/.296/.355	.092	.295	7	7	14%	4%	81	+0.4	.255/.290/.356	.101	.285	8	6	13%	4%	79	+0.3	.264/.296/.365	.101	.291	8	4	12%	3%	82	+0.3
✕Chace Numata 2019 · AA	26	48	38→40	45→40	47	.227/.276/.313	.086	.268	5	4	17%	6%	62	-0.9	.210/.254/.299	.089	.263	6	5	22%	5%	50	-1.8	.205/.242/.281	.077	.257	6	0	22%	4%	40	-1.1
✕Tyler Heineman 2017 · AAA	26	47→45	38→45	44→50	47	.224/.280/.305	.081	.260	5	5	16%	6%	63	-0.9	.228/.285/.328	.100	.272	8	7	19%	7%	70	-0.3	.226/.321/.329	.103	.279	10	14	21%	10%	84	+0.2
✕Angel Franco 2016 · AAA	26	49→50	39→40	43→50	45	.237/.273/.325	.088	.274	7	8	16%	5%	64	-0.8	.221/.260/.306	.085	.266	5	6	18%	5%	53	-1.5	.210/.245/.274	.064	.259	1	1	19%	4%	34	-0.8
✕Rey Navarro 2016 · MLB	26	48→50	44→45	40→50	45	.238/.272/.354	.117	.262	12	6	15%	4%	72	-0.2	.222/.260/.319	.097	.260	9	6	18%	5%	57	-1.2	.211/.251/.301	.090	.247	9	4	18%	5%	46	-1.1
✕Jorge Jimenez 2011 · AAA	26	50→58	41→40	41→40	47	.241/.292/.336	.095	.272	9	3	15%	6%	76	+0.0	.222/.263/.321	.099	.254	10	6	16%	5%	59	-1.1	.226/.238/.324	.099	.247	11	3	14%	2%	46	-0.5
✕Jason Jaramillo 2009 · AAA	26	50→53	41→45	41→40	45	.240/.291/.334	.095	.290	8	2	20%	6%	75	-0.0	.234/.287/.327	.093	.282	8	4	19%	6%	71	-0.3	.229/.287/.312	.083	.275	6	3	18%	7%	63	-0.3
✕Kenny Perez 2008 · AAA	26	50→55	41→40	46→45	44	.242/.279/.336	.094	.281	8	7	17%	5%	69	-0.4	.248/.291/.347	.099	.292	7	6	17%	6%	77	+0.1	.259/.306/.346	.087	.306	4	3	16%	6%	82	+0.2
✕René García 2016 · AAA	26	52	39→40	42→40	42	.249/.275/.332	.083	.281	7	6	15%	3%	66	-0.6	.246/.273/.322	.076	.282	6	6	15%	3%	63	-0.9	.256/.279/.316	.060	.292	5	2	14%	3%	61	-0.3
✕Juan Graterol 2015 · AAA	26	51	40	45→30	40	.247/.274/.339	.092	.284	8	4	16%	3%	68	-0.5	.234/.264/.313	.079	.273	6	5	16%	3%	56	-1.3	.248/.280/.302	.054	.277	3	1	11%	3%	57	-0.5
✕Luis Sardinas 2019 · MLB	26	50→55	40	44→55	42	.244/.277/.332	.088	.286	9	10	19%	4%	67	-0.5	.222/.264/.311	.089	.269	8	7	20%	5%	57	-1.2	.201/.246/.252	.051	.247	2	2	19%	5%	33	-1.2
✕Sergio Burruel 2017 · AAA	26	50	38→30	39→30	44	.240/.288/.309	.069	.296	7	5	21%	6%	66	-0.6	.243/.300/.331	.088	.296	8	5	19%	7%	77	+0.1	.250/.321/.351	.101	.305	10	0	20%	9%	89	+0.4
✕Chris De La Cruz 2009 · AAA	27	52	37→40	41→45	50	.247/.300/.319	.072	.289	5	6	16%	7%	74	-0.1	.241/.290/.325	.084	.292	5	5	18%	6%	71	-0.3	.243/.288/.324	.081	.292	5	2	18%	6%	67	-0.3
✕P.J. Pilittere 2008 · AA	26	51	39→40	44→30	46	.241/.285/.325	.084	.271	6	4	14%	5%	69	-0.4	.240/.278/.314	.074	.271	5	3	13%	4%	63	-0.9	.242/.274/.301	.060	.266	4	0	10%	3%	55	-0.7
✕Mike Rabelo 2006 · AA	26	51	39→45	45→40	43	.244/.292/.335	.091	.292	6	5	18%	5%	76	+0.0	.239/.291/.348	.109	.297	9	4	22%	5%	79	+0.3	.230/.284/.339	.109	.289	10	2	23%	5%	70	-0.1
✕John Otness 2008 · AA	26	49→54	39→40	43→30	44	.233/.275/.315	.082	.260	6	3	13%	4%	63	-0.9	.221/.278/.298	.077	.257	4	3	15%	5%	59	-1.1	.221/.289/.296	.075	.254	4	0	14%	6%	64	-0.2
✕Clayton Daniel 2021 · AA	26	50	38→40	44→40	50	.235/.292/.317	.082	.273	5	6	16%	7%	70	-0.3	.218/.271/.304	.086	.284	8	7	25%	7%	58	-1.2	.197/.246/.253	.056	.259	6	2	25%	6%	30	-1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)