Edwin Arroyo

SS Louisville Bats

Age 23 S/R 5'11" / 173 lbs AAA HR +16%BB +6% Svc 0.401 · Ctrl thru 2032

Overview

AAA40-MANPre-ArbFA 2033

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	INTLGlendale Dese…	81	.253/.309/.333	0	7	83	—
2025	21	AA/INTL2 orgs	591	.293/.360/.382	3	13	96	—	.278/.325/.351
2026	22	AAACIN	354	.301/.368/.524	15	13	106	—	.265/.316/.436
2026	22	MLBCIN	160	.223/.268/.264	0	1	48	-0.1
2027PROJ49% MLB	23	MLBCIN	76	.253/.302/.374	2	3	87	0.2
2028PROJ61% MLB	24	MLBCIN	326	.257/.307/.388	8	15	92	1.2
2029PROJ66% MLB	25	MLBCIN	377	.258/.310/.397	10	17	95	1.5

Last 3 seasons WAR -0.1 · Next 3 projected WAR 2.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.401First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$7M2031Arb-2$11M2032Arb-3$15M

Skills · percentileStatcast 2026

Speed84

xwOBA35

Avg EV35

Barrel%10

CompsAlen Hanson (age 24) · Brayan Rocchio (age 23) · Masyn Winn (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†87

AVG/OBP/SLG.253 / .302 / .374

PA76

HR2

K%21

BB%5

BABIP302

ISO141

MLB%49%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$26M ctrl surplus

Tools · Contract

ToolsStatcast %ile · 2026

CONTACT

xAVG

710.268

POWER

Barrel%

102.7

Avg EV

3588.0

SPEED

Sprint

8428.8

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

Status Pre-Arb

MLB Debut 2026

Service 0.401 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.3	$1M	+$0.4M
2028	Pre-Arb	$0.8M	+1.2	$9M	+$8M
2029	Pre-Arb	$0.8M	+1.5	$10M	+$10M
2030	Arb-1	$7M	+1.6	$10M	+$5M
2031	Arb-2	$11M	+1.6	$9M	+$2M
2032	Arb-3	$15M	+1.4	$8M	+$0.0M (cut)
Totals		$20M		$48M	+$26M

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)
2021	17	ROK	ACL Mariners	—	86	71	15	2	0	2	10	26	4	4	1	211	341	324	665	113	295	30	12	309	30	—	—	—	—	—	—
2021	17	INTL	RA12	—	65	56	14	3	0	0	6	14	1	1	0	250	333	304	637	54	333	22	9	288	81	—	—	—	—	—	—
2022	18	A	Daytona Tortugas	—	519	461	137	25	10	14	44	121	10	25	6	297	371	486	857	189	373	23	8	376	90	—	—	—	—	—	—
2022	18	INTL	Indios de Mayaguez	—	37	27	4	0	0	0	9	9	1	0	0	148	378	148	527		222	24	24	287	81	—	—	—	—	—	—
2023	19	AA	Chattanooga Lookouts	—	20	17	6	2	1	0	1	6	1	1	0	353	421	588	1.009	235	500	30	5	417	143	—	—	—	—	—	—
2023	19	A+	Dayton Dragons	—	534	475	118	26	10	13	48	112	5	28	7	248	323	427	751	179	297	21	9	330	71	—	—	—	—	—	—
2024	20	INTL	Glendale Desert Dogs	—	81	75	19	4	1	0	6	19	0	7	0	253	309	333	642	80	339	23	7	291	83	—	—	—	—	—	—
2025	21	AA	Chattanooga Lookouts	—	521	464	132	23	4	3	40	88	7	12	7	284	350	371	721	86	339	17	8	322	87	—	—	—	—	—	—
2025	21	INTL	Cangrejeros de Santurce	—	70	62	22	5	1	0	4	9	4	1	0	355	429	468	896	113	415	13	6	404	159	—	—	—	—	—	—
2026	22	MLB	Cincinnati Reds	—	160	148	33	4	1	0	6	38	3	1	1	223	268	264	531	41	297	24	4	241	48	-10	-0	+0	+6	+3	-0.1
2026	22	AAA	Louisville Bats	—	354	309	93	14	5	15	29	68	5	13	0	301	368	524	892	223	341	19	8	380	106	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	160	148	33	4	1	0	6	38	3	1	1	223	268	264	531	41	297	24	4	241	49	-10	-0	+0	+6	+3	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	ACL Mariners	—	86	75	11	1	0	2	6	38	4	4	1	147	247	240	487	93	238	44	7	212	30	—	—	—	—	—	—
2022	18	A MLE	Daytona Tortugas	—	519	473	113	19	8	12	32	161	10	25	6	239	301	389	690	150	329	31	6	301	90	—	—	—	—	—	—
2023	19	AA MLE	Chattanooga Lookouts	—	20	17	6	2	1	0	1	8	1	1	0	353	421	588	1.009	235	470	40	5	380	143	—	—	—	—	—	—
2023	19	A+ MLE	Dayton Dragons	—	534	490	104	20	9	11	34	146	5	28	7	212	270	357	627	145	273	27	6	273	71	—	—	—	—	—	—
2025	21	AA MLE	Chattanooga Lookouts	—	521	478	133	21	4	2	26	106	7	12	7	278	325	351	676	73	337	20	5	297	87	—	—	—	—	—	—
2026	22	MLB MLE	Cincinnati Reds	—	160	148	33	4	1	0	6	38	3	1	1	223	268	264	531	41	297	24	4	239	48	-10	-0	+0	+6	+3	-0.1
2026	22	AAA MLE	Louisville Bats	—	354	321	85	12	5	11	19	82	5	13	0	265	316	436	752	171	312	23	5	325	106	—	—	—	—	—	—
2021	17	ROK MLE	2 teams	—	151	132	19	2	0	3	11	66	5	5	1	144	236	227	464	83	250	44	7	212	30	—	—	—	—	—	—
2021	17	ROK RAW	2 teams	—	151	127	29	5	0	2	16	40	5	5	1	228	338	315	653	87	314	26	11	300	30	—	—	—	—	—	—
2022	18	A MLE	2 teams	—	556	507	122	20	9	13	34	173	11	25	6	241	303	393	695	152	335	31	6	301	90	—	—	—	—	—	—
2022	18	A RAW	2 teams	—	556	488	141	25	10	14	53	130	11	25	6	289	371	467	839	178	365	23	10	370	90	—	—	—	—	—	—
2023	19	A+ MLE	2 teams	—	554	507	110	22	10	11	35	153	6	29	7	217	276	365	640	148	284	28	6	277	74	—	—	—	—	—	—
2023	19	A+ RAW	2 teams	—	554	492	124	28	11	13	49	118	6	29	7	252	327	433	760	181	303	21	9	333	74	—	—	—	—	—	—
2024	20	INTL MLE	Glendale Desert Dogs	—	81	75	19	4	1	0	6	19	0	7	0	253	309	333	642	80	339	23	7	—	—	—	—	—	—	—	—
2024	20	INTL RAW	Glendale Desert Dogs	—	81	75	19	4	1	0	6	19	0	7	0	253	309	333	642	80	339	23	7	291	83	—	—	—	—	—	—
2025	21	AA MLE	2 teams	—	591	540	151	24	4	3	30	121	11	13	7	280	330	356	686	76	349	20	5	297	87	—	—	—	—	—	—
2025	21	AA RAW	2 teams	—	591	526	154	28	5	3	44	97	11	13	7	293	360	382	742	89	348	16	7	331	87	—	—	—	—	—	—
2026	22	AAA MLE	2 teams	—	514	469	118	16	6	11	25	120	8	14	1	252	301	382	682	130	313	23	5	298	88	—	—	—	—	—	—
2026	22	AAA RAW	2 teams	—	514	457	126	18	6	15	35	106	8	14	1	276	337	440	776	164	326	21	7	337	88	—	—	—	—	—	—
2021	17	ROK MLE	2 teams	—	151	134	19	2	0	3	11	66	5	5	1	142	236	224	460	82	238	44	7	212	30	—	—	—	—	—	—
2022	18	A MLE	2 teams	—	556	506	122	20	9	13	34	173	11	25	6	241	303	393	696	152	329	31	6	301	90	—	—	—	—	—	—
2023	19	A+ MLE	2 teams	—	554	508	110	22	10	11	35	153	6	29	7	217	276	364	640	148	280	28	6	277	74	—	—	—	—	—	—
2025	21	AA MLE	2 teams	—	591	545	151	24	4	3	30	121	11	13	7	277	330	352	683	75	337	20	5	297	87	—	—	—	—	—	—
2026	22	AAA MLE	2 teams	—	514	476	118	16	6	11	25	120	8	14	1	248	301	376	677	128	307	23	5	298	88	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	AA MLE	2 teams	—	591	545	151	24	4	3	30	121	11	13	7	277	330	352	683	75	337	20	5	297	87	—	—	—	—	—	—
2026	22	AAA MLE	2 teams	—	514	476	118	16	6	11	25	120	8	14	1	248	301	376	677	128	307	23	5	298	88	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	CIN	49%	606	562	141	20	6	11	30	124	9	28	6	251	300	367	667	116	301	20	5	297	87	-9	+3	+4	+6	+13	0.6
▸ 2027 — real world (MLB)
2027	23	MLB CTX	CIN	49%	76	71	18	2	1	2	4	16	1	3	1	253	302	374	675	121	302	21	5	301	87	-1	+0	+1	+1	+2	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	CIN	61%	538	497	127	18	5	12	28	109	8	25	5	254	305	381	685	127	302	20	5	305	92	-5	+3	+4	+6	+12	2.0
2029	25	MLB MLE	CIN	66%	571	526	134	20	5	13	32	116	8	26	5	255	307	388	696	133	301	20	6	309	95	-3	+3	+4	+6	+12	2.3
2030	26	MLB MLE	CIN	69%	571	525	134	20	5	14	33	117	8	26	5	255	309	392	700	137	301	20	6	311	97	-2	+3	+4	+6	+12	2.4
2031	27	MLB MLE	CIN	68%	564	518	132	20	5	14	33	116	8	25	5	254	308	390	699	136	300	21	6	310	96	-3	+3	+4	+6	+12	2.3
2032	28	MLB MLE	CIN	68%	553	508	128	19	5	13	33	116	7	22	5	252	307	387	694	135	299	21	6	308	95	-3	+2	+3	+6	+12	2.1
2033	29	MLB MLE	CIN	67%	538	494	124	19	4	13	32	114	7	18	4	250	304	381	685	131	298	21	6	305	93	-5	+2	+3	+6	+12	1.8
2034	30	MLB MLE	CIN	66%	523	481	119	18	4	12	31	113	6	15	3	247	301	374	675	127	297	22	6	301	90	-6	+2	+2	+6	+11	1.4
2035	31	MLB MLE	CIN	65%	505	465	114	17	4	11	29	111	6	10	3	243	296	365	661	122	294	22	6	295	86	-9	+1	+1	+5	+11	1.0
2036	32	MLB MLE	CIN	65%	482	447	106	15	4	10	27	108	5	5	2	238	290	353	643	115	291	22	6	287	81	-11	+0	+0	+5	+10	0.5
2037	33	MLB MLE	CIN	65%	447	414	96	14	3	8	25	103	5	1	1	232	283	339	622	107	287	23	6	279	75	-13	-0	-1	+5	+10	-0.0
2028	24	MLB CTX	CIN	61%	326	301	78	11	3	8	17	66	5	15	3	257	307	388	695	132	303	20	5	309	92	-3	+2	+2	+3	+7	1.2
2029	25	MLB CTX	CIN	66%	377	348	90	13	3	10	21	77	5	17	3	258	310	397	706	139	303	20	6	313	95	-2	+2	+3	+4	+8	1.5
2030	26	MLB CTX	CIN	69%	392	362	93	13	4	10	22	80	5	18	4	258	311	400	711	143	302	20	6	315	97	-2	+2	+3	+4	+8	1.6
2031	27	MLB CTX	CIN	68%	385	354	90	13	3	10	23	79	5	17	3	256	311	399	709	142	301	21	6	315	96	-2	+2	+3	+4	+8	1.6
2032	28	MLB CTX	CIN	68%	377	346	88	13	3	10	23	79	5	15	3	254	309	395	704	141	300	21	6	313	95	-2	+2	+2	+4	+8	1.4
2033	29	MLB CTX	CIN	67%	358	329	83	12	3	9	21	76	5	12	3	252	306	389	696	137	299	21	6	309	93	-3	+1	+2	+4	+8	1.2
2034	30	MLB CTX	CIN	66%	343	316	78	11	3	8	20	74	4	10	2	249	303	382	685	132	298	22	6	304	90	-4	+1	+1	+4	+7	0.9
2035	31	MLB CTX	CIN	65%	329	303	76	11	3	8	19	72	4	6	2	245	298	372	670	127	295	22	6	298	86	-6	+0	+1	+4	+7	0.6
2036	32	MLB CTX	CIN	65%	312	287	69	10	2	7	18	70	4	3	1	240	292	360	652	120	292	22	6	291	81	-7	+0	+0	+3	+7	0.3
2037	33	MLB CTX	CIN	65%	289	268	63	9	2	6	16	66	3	1	1	234	285	345	630	111	288	23	6	282	75	-9	-0	-1	+3	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3648	3362	841	120	30	86	206	777	48	115	26	250	303	380	683	130	300	21	6	303	85	-49	+13	+16	+43	+79	10.3
/ 162G	—	A+C		—	650	599	149	21	5	15	37	138	9	20	5	249	303	376	678	127	298	21	6	303	85	-9	+2	+3	+8	+14	1.8
Career	—	MLE		—	7894	7249	1789	273	75	164	452	1807	111	273	61	247	301	373	674	126	305	23	6	294	85	-73	+20	+25	+64	+121	16.1
/ 162G	—	MLE		—	650	597	147	22	6	14	37	149	9	22	5	246	300	374	674	127	304	23	6	294	85	-8	+2	+3	+7	+14	1.9

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 AAALouisville Bats · 354 PAwOBA .371 → .325 (−46)K% 19.2% → 23.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.21%	÷1.000	×1.200	—	—	23.05%
BB% (unintentional) /PA	7.63%	÷1.000	×0.690	—	×1.050	5.53%
HBP% /PA	1.41%	—	×0.940	—	×1.050	1.39%
Singles /BIP	24.48%	÷1.000	×0.930	×0.970	×1.050	23.18%
Doubles /BIP	5.81%	÷1.000	×0.830	×0.970	×1.050	4.91%
Triples /BIP	2.07%	÷1.000	×0.970	×0.970	×1.050	2.05%
Home runs /BIP	6.22%	÷1.000	×0.700	—	×1.050	4.57%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.970.

Result: wOBA .371 → .325; ISO .223 → .182; BABIP .341 → .312. 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 AAChattanooga Lookouts · 521 PAwOBA .318 → .297 (−21)K% 16.9% → 20.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.89%	÷1.010	×1.220	—	—	20.41%
BB% (unintentional) /PA	7.68%	÷1.087	×0.680	—	×1.042	5.00%
HBP% /PA	1.34%	—	×0.840	—	×1.042	1.18%
Singles /BIP	27.13%	÷0.963	×0.920	×1.026	×1.042	27.69%
Doubles /BIP	6.12%	÷1.092	×0.910	×1.026	×1.042	5.45%
Triples /BIP	1.06%	÷1.001	×0.880	×1.026	×1.042	1.00%
Home runs /BIP	0.80%	÷1.021	×0.800	—	×1.042	0.65%

Factors used: league row SL. Park (home-season share, regressed): HR 104, 1B 93, 2B 118, 3B 100, K 102, BB 117 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .318 → .297; ISO .086 → .078; BABIP .339 → .337. 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).

2023 A+Dayton Dragons · 534 PAwOBA .323 → .273 (−50)K% 21.0% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.97%	÷0.975	×1.270	—	—	27.31%
BB% (unintentional) /PA	8.80%	÷1.020	×0.710	—	×1.042	6.38%
HBP% /PA	0.94%	—	×0.790	—	×1.042	0.77%
Singles /BIP	19.01%	÷0.979	×0.920	×0.985	×1.042	18.32%
Doubles /BIP	7.16%	÷1.027	×0.810	×0.985	×1.042	5.80%
Triples /BIP	2.75%	÷0.916	×0.850	×0.985	×1.042	2.62%
Home runs /BIP	3.58%	÷0.951	×0.800	—	×1.042	3.14%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 90, 1B 96, 2B 105, 3B 83, K 95, BB 104 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .323 → .273; ISO .179 → .151; BABIP .297 → .273. 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).

2023 AAChattanooga Lookouts · 20 PAwOBA .427 → .380 (−47)K% 30.0% → 38.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷0.961	×1.220	—	—	38.10%
BB% (unintentional) /PA	5.00%	÷1.069	×0.680	—	×1.050	3.34%
HBP% /PA	5.00%	—	×0.840	—	×1.050	4.41%
Singles /BIP	27.27%	÷0.986	×0.920	—	×1.050	26.73%
Doubles /BIP	18.18%	÷1.004	×0.910	—	×1.050	17.31%
Triples /BIP	9.09%	÷1.150	×0.880	—	×1.050	7.30%
Home runs /BIP	0.00%	÷1.017	×0.800	—	×1.050	0.00%

Factors used: league row SL. Park (home-season share, regressed): HR 103, 1B 97, 2B 101, 3B 130, K 92, BB 114 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average).

Result: wOBA .427 → .380; ISO .235 → .203; BABIP .500 → .470. 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).

2022 ADaytona Tortugas · 519 PAwOBA .369 → .301 (−68)K% 23.3% → 31.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.31%	÷1.021	×1.360	—	—	31.07%
BB% (unintentional) /PA	8.48%	÷0.986	×0.690	—	×1.045	6.20%
HBP% /PA	1.93%	—	×0.780	—	×1.045	1.57%
Singles /BIP	25.88%	÷1.016	×0.920	×0.957	×1.045	23.45%
Doubles /BIP	7.35%	÷1.028	×0.830	×0.957	×1.045	5.94%
Triples /BIP	2.94%	÷1.016	×0.910	×0.957	×1.045	2.64%
Home runs /BIP	4.12%	÷0.883	×0.800	—	×1.045	3.90%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 77, 1B 103, 2B 106, 3B 103, K 104, BB 97 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.957.

Result: wOBA .369 → .301; ISO .189 → .158; BABIP .373 → .329. 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).

2021 ROKACL Mariners · 86 PAwOBA .305 → .212 (−93)K% 30.2% → 43.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.23%	÷0.996	×1.440	—	—	43.70%
BB% (unintentional) /PA	11.63%	÷1.024	×0.620	—	×1.022	7.20%
HBP% /PA	4.65%	—	×0.720	—	×1.022	3.42%
Singles /BIP	24.44%	÷0.992	×0.820	×0.983	×1.022	20.32%
Doubles /BIP	4.44%	÷1.030	×0.720	×0.983	×1.022	3.12%
Triples /BIP	0.00%	÷0.904	×0.720	×0.983	×1.022	0.00%
Home runs /BIP	4.44%	÷0.904	×0.780	—	×1.022	3.92%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 98, 2B 106, 3B 81, K 99, BB 105 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .305 → .212; ISO .113 → .082; BABIP .295 → .238. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Erick Aybarlast yr '17 career totals — 11 seasons, 5,588 PA	8.4	5,588	58	154	271	314	372	+58	+49	22.0	21.3
/162	664	7	18	+6.9	+5.8	2.6	pk7: 21
#2Freddy Galvislast yr '21 career totals — 10 seasons, 4,238 PA	6.4	4,238	109	57	246	292	387	+42	+68	18.0	17.6
/162	664	17	9	+6.6	+10.6	2.8	pk7: 17
#3Ivan de Jesus'74-'88 * career totals — 10 seasons, 5,193 PA	7.8	5,193	21	194	248*	320*	350*	+55	+68	16.1	16.8
/162	664	3	25	+7.0	+8.7	2.1	pk7: 18
#4Horace Clarke'65-'74 * career totals — 10 seasons, 5,242 PA	7.9	5,242	27	151	264*	314*	351*	+20	+26	13.3	13.4
/162	664	3	19	+2.6	+3.3	1.7	pk7: 14
#5Greg Gagne'83-'97 * career totals — 13 seasons, 6,207 PA	9.3	6,207	111	108	249*	297*	394*	+65	+26	13.2	13.0
/162	664	12	12	+6.9	+2.8	1.4	pk7: 13
#6Bobby 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	5.6	3,723	80	118	249	298	373	+40	+28	10.5	10.0
/162	664	14	21	+7.1	+4.9	1.9	pk7: 9

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
Edwin Arroyo (OGILVIE)	23	—	—	—	—	249/297/364	115	301	3	7	20%	5%	87	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alen Hanson 2017 · MLB	24	51→53	43→50	61→60	42	249/284/368	119	299	9	31	20%	5%	82	-0.0	237/275/368	131	290	12	24	22%	5%	79	-0.2	232/269/369	137	288	12	18	23%	4%	75	-0.2
✕Brayan Rocchio 2024 · MLB	23	51→56	43→45	51→50	48	246/307/368	123	297	10	16	20%	7%	92	+0.7	231/300/353	122	273	11	16	19%	8%	86	+0.3	225/297/350	125	260	12	16	18%	7%	85	+0.2
✕Masyn Winn 2024 · MLB	22	47→53	46→50	59→55	46	231/290/362	131	284	12	21	23%	7%	84	+0.1	247/304/374	127	293	12	12	19%	7%	92	+0.7	248/309/365	117	296	11	11	19%	7%	93	+0.8
✕Everth Cabrera 2010 · MLB	23	53→60	39→40	61→65	48	247/313/346	99	317	5	34	22%	8%	88	+0.5	241/304/328	87	315	4	37	23%	8%	80	-0.1	266/331/350	84	338	3	54	21%	8%	94	+0.7
●CJ Abrams 2024 · MLB	23	50→53	47→60	62→60	43	250/298/393	143	290	14	34	19%	4%	94	+0.9	251/312/436	185	291	20	30	21%	6%	109	+2.0	252/319/452	200	292	23	30	22%	7%	117	+2.7
✕Dalton Pompey 2016 · MLB	23	55→60	42→45	59→55	48	264/322/376	112	330	8	26	22%	8%	98	+1.2	245/303/341	96	316	8	21	23%	7%	84	+0.1	238/298/327	89	312	8	20	25%	7%	76	-0.2
●Erick Aybar 2007 · MLB	23	55→63	42→45	57→60	45	263/300/378	115	289	8	35	13%	4%	91	+0.6	262/301/361	99	295	6	19	13%	4%	86	+0.3	276/312/401	125	300	8	21	11%	4%	101	+1.3
✕Ryan Kalish 2011 · MLB	23	51→53	48→50	57→55	49	254/316/397	143	308	15	23	22%	8%	101	+1.4	234/291/348	114	301	11	21	25%	7%	81	-0.1	217/264/312	94	293	8	20	27%	6%	59	-0.9
✕Luis Rivas 2004 · MLB	24	53→55	43→50	55	48	254/303/375	121	283	9	19	14%	6%	91	+0.7	240/279/364	124	267	11	16	14%	5%	80	-0.2	230/262/343	113	257	10	15	15%	4%	68	-0.5
✕Ramon Santiago 2003 · MLB	23	49→52	45	52→50	46	238/304/366	128	281	12	16	20%	6%	91	+0.6	223/288/310	87	254	7	13	15%	6%	72	-0.7	256/332/354	98	297	10	3	16%	8%	98	+0.6
✕Dustin Fowler 2019 · MLB	24	51→54	48→55	57→55	39	254/281/404	150	305	14	20	22%	4%	90	+0.6	226/270/367	141	306	16	13	31%	5%	78	-0.3	211/259/349	138	294	17	9	34%	5%	67	-0.8
✕Ji Hwan Bae 2023 · MLB	24	52→55	42→45	58→60	46	250/307/366	116	317	8	27	23%	7%	91	+0.6	247/311/349	102	333	7	31	25%	8%	88	+0.4	246/318/343	97	336	6	39	26%	9%	87	+0.2
✕Roman Quinn 2016 · AA	23	53→57	42→45	59→65	44	253/307/356	103	328	9	34	25%	6%	88	+0.5	254/308/361	107	345	7	35	26%	7%	89	+0.5	258/314/371	113	353	6	42	27%	7%	91	+0.3
●Cristian Guzman 2001 · MLB	23	50→60	44→50	62→55	50	242/294/379	137	273	8	22	15%	7%	88	+0.5	269/305/404	135	303	9	20	14%	5%	98	+1.2	301/331/418	117	331	7	5	11%	4%	112	+1.6
✕Arismendy Alcántara 2015 · MLB	23	47→51	49→55	57→55	40	237/279/392	156	310	15	23	28%	6%	86	+0.3	212/254/352	140	300	13	22	32%	5%	68	-1.0	211/258/373	162	290	17	14	32%	6%	72	-0.4
●Maikel Garcia 2023 · MLB	23	52→58	41→45	57→60	48	250/309/356	106	315	8	27	22%	8%	88	+0.5	254/311/364	110	310	8	26	19%	8%	92	+0.7	260/322/390	130	293	10	24	14%	8%	102	+1.4
✕Cole Tucker 2020 · MLB	24	48→51	42→45	55	46	230/289/344	114	294	8	20	24%	7%	79	-0.2	215/276/321	106	289	9	13	27%	7%	69	-0.9	208/281/299	91	291	7	13	29%	9%	64	-0.7
●Andrés Giménez 2022 · MLB	23	48→58	47→50	55	40	240/296/380	140	304	15	23	26%	5%	91	+0.6	261/321/406	145	308	15	24	20%	5%	106	+1.8	260/319/392	131	301	14	27	18%	5%	103	+1.6
✕Elliot Johnson 2007 · AA	23	50→57	46→50	54→60	40	243/284/376	133	319	12	21	28%	5%	84	+0.2	223/270/353	130	303	12	16	29%	5%	74	-0.5	249/292/381	132	322	13	22	26%	5%	85	+0.1
✕José Rodríguez 2024 · AAA	23	47→54	47→50	56→55	40	240/272/375	134	290	15	28	23%	4%	80	-0.2	238/276/350	112	288	11	22	21%	5%	75	-0.5	255/293/345	89	297	7	25	16%	4%	78	-0.1

Edwin Arroyo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps