Erasmi Rodriguez

C Kannapolis Cannon Ballers

Age 23 R/R 5'8" / 180 lbs A HR +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1973ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ROKCWS	99	.289/.404/.458	2	1	47	—	.172/.273/.264
2026	22	ACWS	21	.143/.143/.286	1	0	-25	—	.143/.143/.286
2027PROJMLE	23	MLBCWS	131	.209/.274/.302	2	2	63	0.0
2028PROJ30% MLB	24	MLBCWS	28	.213/.278/.313	0	0	67	0.0
2029PROJ44% MLB	25	MLBCWS	69	.215/.281/.321	1	1	70	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2025 Rk

wOBA85

ISO84

wRC+78

K%57

Whiff%41

Z-Con%37

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

CompsBrian Ruggiano (age 23) · Nick Lorusso (age 23) · Dylan Neuse (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 33 proj PA

wRC+†63

AVG/OBP/SLG.208 / .272 / .300

PA33

HR0

K%29

BB%7

ISO93

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$0M 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
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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	21	ROK	DSL White Sox	—	99	83	24	6	1	2	11	20	5	1	0	289	404	458	862	169	361	20	11	388	47	—	—	—	—	—	—
2026	22	A	Kannapolis Cannon Ballers	—	21	21	3	0	0	1	0	6	0	0	0	143	143	286	429	143	143	29	0	185	-25	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	ROK MLE	DSL White Sox	—	99	87	15	3	1	1	7	24	5	1	0	172	273	264	537	92	226	24	7	238	47	—	—	—	—	—	—
2026	22	A MLE	Kannapolis Cannon Ballers	—	21	21	3	0	0	1	0	8	0	0	0	143	143	286	429	143	130	38	0	131	-25	—	—	—	—	—	—
2025	21	ROK MLE	DSL White Sox	—	99	87	15	3	1	1	7	24	5	1	0	172	273	264	537	92	226	24	7	238	47	—	—	—	—	—	—
2025	21	ROK RAW	DSL White Sox	—	99	83	24	6	1	2	11	20	5	1	0	289	404	458	862	169	361	20	11	388	47	—	—	—	—	—	—
2026	22	A MLE	Kannapolis Cannon Ballers	—	21	21	3	0	0	1	0	8	0	0	0	143	143	286	429	143	167	38	0	131	-25	—	—	—	—	—	—
2026	22	A RAW	Kannapolis Cannon Ballers	—	21	21	3	0	0	1	0	6	0	0	0	143	143	286	429	143	143	29	0	185	-25	—	—	—	—	—	—
2025	21	ROK MLE	DSL White Sox	—	99	87	15	3	1	1	7	24	5	1	0	172	273	264	537	92	226	24	7	238	47	—	—	—	—	—	—
2026	22	A MLE	Kannapolis Cannon Ballers	—	21	21	3	0	0	1	0	8	0	0	0	143	143	286	429	143	130	38	0	131	-25	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	ROK MLE	DSL White Sox	—	99	87	15	3	1	1	7	24	5	1	0	172	273	264	537	92	226	24	7	238	47	—	—	—	—	—	—
2026	22	A MLE	Kannapolis Cannon Ballers	—	21	21	3	0	0	1	0	8	0	0	0	143	143	286	429	143	130	38	0	131	-25	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	CWS	0%	131	119	25	4	1	2	9	38	2	2	1	209	274	302	576	93	289	29	7	262	63	-6	+0	+0	+2	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	CWS	30%	92	85	18	3	1	1	6	26	1	2	1	213	278	311	589	99	290	28	7	267	67	-4	+0	+0	+2	+2	0.0
2029	25	MLB MLE	CWS	44%	157	143	30	5	1	2	11	44	2	3	1	215	280	319	599	104	290	28	7	271	70	-6	+0	+0	+3	+3	0.1
2030	26	MLB MLE	CWS	51%	215	195	43	8	2	3	15	60	3	4	1	217	283	325	608	109	290	28	7	275	72	-7	+0	+0	+4	+5	0.2
2031	27	MLB MLE	CWS	52%	254	230	50	9	2	4	18	70	4	4	2	217	283	327	610	110	290	28	7	276	73	-8	+0	+0	+5	+6	0.2
2032	28	MLB MLE	CWS	53%	283	257	56	10	2	5	20	78	4	5	2	217	283	326	609	109	289	28	7	275	72	-9	+0	-1	+5	+6	0.1
2033	29	MLB MLE	CWS	57%	292	266	57	10	2	5	20	81	4	5	2	214	280	320	600	106	287	28	7	272	70	-10	+0	-1	+5	+6	-0.0
2034	30	MLB MLE	CWS	60%	295	269	56	10	2	4	20	83	4	5	3	211	277	312	589	101	285	28	7	267	67	-12	-0	-2	+5	+6	-0.2
2028	24	MLB CTX	CWS	30%	28	26	5	1	0	0	2	8	0	0	0	213	278	313	592	100	291	29	7	268	67	-1	+0	+0	+0	+1	0.0
2029	25	MLB CTX	CWS	44%	69	63	14	2	1	1	5	19	1	1	0	215	281	321	602	105	291	28	7	272	70	-2	+0	+0	+1	+1	0.0
2030	26	MLB CTX	CWS	51%	109	99	22	4	1	2	7	30	2	2	1	217	283	327	610	110	291	28	6	276	72	-4	+0	+0	+2	+2	0.1
2031	27	MLB CTX	CWS	52%	133	121	26	5	1	2	9	37	2	2	1	218	284	329	613	111	290	28	7	277	73	-4	+0	+0	+2	+3	0.1
2032	28	MLB CTX	CWS	53%	151	137	30	5	1	3	11	42	2	3	1	217	284	328	612	111	289	28	7	276	72	-5	+0	-0	+3	+3	0.1
2033	29	MLB CTX	CWS	57%	166	151	33	6	1	3	12	46	2	3	1	215	281	322	603	107	288	28	7	273	70	-6	+0	-1	+3	+4	0.0
2034	30	MLB CTX	CWS	60%	176	160	34	6	1	3	12	50	2	3	2	212	277	314	591	102	286	28	7	268	67	-7	-0	-1	+3	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	832	757	164	29	6	14	58	232	11	14	6	217	282	326	608	110	291	28	7	273	68	-29	+0	-2	+15	+18	0.1
/ 162G	—	A+C		—	650	591	129	23	5	11	45	181	9	11	5	218	284	330	614	112	293	28	7	273	68	-23	+0	-2	+12	+14	0.1
Career	—	MLE		—	1741	1583	334	59	13	26	119	483	28	30	12	211	278	314	592	103	285	28	7	268	68	-58	+1	-4	+29	+35	0.3
/ 162G	—	MLE		—	650	591	125	22	5	10	44	180	10	11	4	212	277	316	594	105	285	28	7	268	68	-23	+0	-2	+12	+14	0.1

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 AKannapolis Cannon Ballers · 21 PAwOBA .179 → .131 (−48)K% 28.6% → 38.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.000	×1.360	—	—	38.86%
BB% (unintentional) /PA	0.00%	÷1.000	×0.690	—	—	0.00%
HBP% /PA	0.00%	—	×0.780	—	—	0.00%
Singles /BIP	13.33%	÷1.000	×0.920	—	—	12.27%
Doubles /BIP	0.00%	÷1.000	×0.830	—	—	0.00%
Triples /BIP	0.00%	÷1.000	×0.910	—	—	0.00%
Home runs /BIP	6.67%	÷1.000	×0.800	—	—	5.33%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).

Result: wOBA .179 → .131; ISO .143 → .098; BABIP .143 → .130. 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 DSLDSL White Sox · 99 PAwOBA .378 → .238 (−140)K% 20.2% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.20%	÷1.004	×1.220	—	—	24.54%
BB% (unintentional) /PA	11.11%	÷1.005	×0.700	—	×0.975	7.54%
HBP% /PA	5.05%	—	×0.700	—	×0.975	3.45%
Singles /BIP	23.81%	÷1.021	×0.680	×1.030	×0.975	15.92%
Doubles /BIP	9.52%	÷1.070	×0.600	×1.030	×0.975	5.36%
Triples /BIP	1.59%	÷0.927	×0.600	×1.030	×0.975	1.03%
Home runs /BIP	3.17%	÷1.102	×0.470	—	×0.975	1.32%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 104, 2B 114, 3B 85, K 101, BB 101 — applied at half strength. Age: age 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.

Result: wOBA .378 → .238; ISO .169 → .088; BABIP .361 → .226. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
#4Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.3	865	14	14	215	278	321	+15	+16	0.9	0.9
/162	664	10	11	+11.9	+12.3	0.7	pk7: 1
#5Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	pk7: 1
#6Joel Skinner'83-'91 * career totals — 8 seasons, 1,551 PA	2.3	1,551	17	3	227*	270*	327*	+27	-0	-0.6	0.2
/162	664	7	1	+11.7	-0.1	-0.3	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
Erasmi Rodriguez (OGILVIE)	23	—	—	—	—	208/272/300	92	289	0	1	29%	7%	63	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brian Ruggiano 2009 · A	23	39→42	38→45	54→55	37	188/242/272	84	288	5	10	35%	6%	45	-2.7	210/263/316	106	300	8	14	31%	5%	63	-1.4	210/264/322	112	293	9	15	30%	5%	62	-0.8
✕Nick Lorusso 2024 · A	23	39→44	38→50	49→50	38	185/243/272	87	294	5	9	37%	6%	46	-2.6	202/265/325	123	271	12	10	29%	7%	66	-1.1	197/261/329	132	257	14	11	29%	7%	64	-0.9
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	178/253/255	77	262	8	14	33%	8%	47	-2.6	205/278/293	88	286	6	12	28%	9%	64	-1.3	205/285/293	88	279	5	13	26%	9%	65	-0.6
✕Nick Quintana 2021 · A	23	39→40	39→45	49→45	36	186/240/271	86	298	6	9	38%	6%	44	-2.8	181/264/286	105	253	11	5	31%	9%	58	-1.7	163/255/263	100	223	10	3	30%	9%	47	-1.3
✕Jack Winkler 2022 · A	23	40→41	38→40	48→55	40	193/248/273	79	268	4	10	28%	6%	47	-2.5	205/268/294	89	269	7	14	25%	6%	60	-1.6	190/257/276	86	252	7	18	26%	6%	49	-1.7
✕Raul Siri 2018 · A	23	39	38→40	51→50	42	190/248/269	79	262	6	11	29%	7%	47	-2.6	198/262/281	83	345	5	9	41%	6%	55	-1.9	143/230/226	84	291	4	14	47%	8%	31	-0.7
✕Jared Foster 2016 · A	23	39→46	41→45	48→50	40	194/233/285	92	245	9	12	25%	5%	44	-2.8	210/246/309	99	273	9	8	26%	4%	55	-2.0	207/240/304	97	267	9	8	26%	3%	49	-1.0
✕Zane Gurwitz 2019 · A	24	40	39→45	48→45	39	196/240/286	90	264	6	7	28%	5%	47	-2.5	203/259/305	102	293	9	6	32%	6%	59	-1.7	193/254/293	100	279	11	4	33%	7%	53	-1.4
✕Trey Amburgey 2018 · A	23	40→45	42→50	51→50	37	200/246/305	105	276	10	12	31%	4%	54	-2.0	220/261/355	135	283	15	9	27%	4%	72	-0.7	224/264/367	142	289	15	7	28%	4%	73	-0.5
✕J.C. Millan 2018 · A	22	40	37→40	45→30	36	195/236/271	76	279	4	8	31%	4%	42	-2.9	220/267/316	96	272	9	6	22%	6%	64	-1.3	226/273/320	94	265	9	4	18%	6%	64	-0.5
✕Jiandido Tromp 2016 · A	22	36→46	42→50	49→45	33	183/223/290	107	272	10	8	36%	4%	42	-2.9	214/256/355	141	285	14	9	29%	5%	70	-0.9	217/262/357	140	284	14	8	28%	5%	69	-0.7
✕Pedruin Bautista 2006 · A	22	39	38→40	50→60	33	191/224/270	79	281	4	10	33%	4%	36	-3.3	181/266/248	67	242	2	17	24%	9%	50	-2.3	158/266/216	57	204	1	25	20%	11%	42	-1.2
✕Bobby Wernes 2017 · A	23	40	35→45	46→40	45	191/247/249	59	252	2	6	24%	7%	41	-3.0	212/269/305	93	273	6	6	23%	6%	63	-1.4	216/282/321	105	262	7	3	19%	7%	69	-0.5
✕Narciso Crook 2018 · A	23	39→43	43→50	48→50	34	195/240/306	111	295	11	9	37%	5%	53	-2.1	220/271/346	126	319	11	11	33%	5%	73	-0.6	211/273/363	152	309	16	14	35%	6%	75	-0.3
✕Fabian Pertuz 2024 · AA	23	35→36	40	51→55	36	179/227/266	87	258	7	13	33%	5%	38	-3.2	186/239/281	95	297	9	11	38%	6%	46	-2.6	156/208/244	89	265	10	7	43%	5%	24	-2.2
✕Patrick Brady 2011 · A	23	39	39→45	44→45	43	192/238/277	86	232	7	7	21%	5%	45	-2.7	215/265/314	99	266	7	8	21%	6%	63	-1.4	209/251/340	130	269	15	11	28%	5%	60	-0.6
✕Johan Cruz 2019 · A	23	39	37→40	46→45	39	191/234/263	72	261	5	6	28%	5%	39	-3.1	202/252/297	95	295	9	5	33%	6%	55	-2.0	189/242/290	100	284	11	1	36%	6%	47	-1.0
✕Chris Hess 2018 · A	23	39→34	37→45	48→30	39	186/244/267	82	276	3	5	32%	6%	45	-2.7	189/248/290	101	279	9	4	34%	5%	53	-2.1	174/235/282	108	252	11	1	34%	4%	43	-2.2
✕Ariel Montesino 2019 · A	23	39	37→40	47→50	41	189/237/261	72	256	4	9	27%	6%	40	-3.1	187/238/270	83	284	5	10	34%	5%	43	-2.8	131/180/196	65	213	3	13	38%	4%	5	-1.5
✕Jack López 2016 · A	23	42→45	38→45	47→55	39	206/245/278	72	262	6	15	24%	4%	47	-2.5	202/237/279	77	269	7	15	27%	4%	44	-2.8	219/256/315	96	299	10	18	29%	3%	57	-1.1

Erasmi Rodriguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps