Aeverson Arteaga

Aeverson ArteagaSS Richmond Flying Squirrels

Age 23 R/R 5'11" / 201 lbs AA BB -3% Svc 0.0 · Ctrl thru 2034

wRC+†44

AVG/OBP/SLG.180 / .227 / .268

PA320

HR5

K%33

BB%5

MLB%2%

Scouting · now → future

HIT

30→30

PWR

30→30

SPD

45→45

EYE

40↘30

trajectory · 10 yrs

0.0peak

2030

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$0.4M		$-9M	-$9M

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	ACL Giants Orange	226	206	35	4	0	5	14	99	2	8	0	.170	.230	.262	.492	.092	.283	44	6	.230	34	-17	+2	+0	+2	+6	-0.7
2022	19	A	San Jose Giants	565	519	102	25	2	10	33	222	10	11	6	.197	.258	.310	.568	.114	.317	39	6	.249	49	-33	-0	+0	+6	+16	-1.1
2023	20	A+	Eugene Emeralds	546	507	83	19	2	12	26	182	7	8	2	.164	.215	.280	.495	.116	.223	33	5	.218	25	-46	+1	+0	+6	+15	-2.5
2024	21	A+	2 teams	115	105	13	2	1	0	9	46	0	2	0	.124	.193	.162	.355	.038	.220	40	8	.165	-15	-15	+0	+0	+1	+3	-1.0
2025	22	AA	2 teams	522	490	77	13	1	5	23	171	2	5	1	.157	.198	.218	.416	.061	.226	33	4	.182	-2	-60	+1	+0	+6	+15	-4.0
▸ 2026 Season (actual · ROS · total)
2026	23	AA	Richmond Flying Squirrels	37	30	8	0	0	0	3	12	3	1	0	.267	.389	.267	.656	.000	.421	32	8	.305	92	-0	+0	+0	+0	+1	0.1
ROS	23	MLB	SF	283	263	50	9	1	4	15	93	3	3	1	.190	.242	.278	.520	.087	.274	33	5	.234	38	-20	+0	+0	+3	+8	-0.9
TOT	23	MLB	SF	320	293	58	9	1	4	18	105	6	4	1	.198	.259	.276	.535	.078	.290	33	6	.243	44	-20	+0	+0	+3	+9	-0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 11%	SF	478	438	87	16	2	8	31	140	6	6	1	.199	.261	.299	.560	.100	.267	29	6	.252	51	-26	+1	+0	+5	+14	-0.7
2028	25	MLB 26%	SF	505	460	94	17	2	10	34	144	6	6	1	.204	.268	.315	.583	.111	.270	29	7	.262	58	-24	+1	+0	+5	+14	-0.3
2029	26	MLB 44%	SF	520	472	97	18	2	10	37	147	6	7	1	.206	.272	.316	.588	.110	.272	28	7	.267	62	-22	+1	+0	+6	+15	-0.1
2030	27	MLB 59%	SF	525	476	99	18	2	11	38	148	6	6	1	.208	.275	.324	.599	.116	.272	28	7	.268	63	-22	+1	+0	+6	+15	-0.0
2031	28	MLB 69%	SF	524	475	99	18	2	11	38	149	6	6	0	.208	.276	.324	.600	.116	.272	28	7	.267	62	-22	+1	-1	+6	+15	-0.1
2032	29	MLB 77%	SF	516	467	95	17	2	10	38	148	6	5	0	.203	.272	.313	.585	.109	.271	29	7	.265	61	-23	+1	-1	+6	+15	-0.3
2033	30	MLB 85%	SF	506	458	93	17	2	10	37	147	6	4	0	.203	.271	.314	.586	.111	.270	29	7	.262	58	-24	+1	-2	+5	+14	-0.5
2034	31	MLB 91%	SF	493	449	88	16	1	9	36	145	5	1	0	.196	.263	.296	.559	.100	.268	29	7	.258	56	-25	+0	-3	+5	+14	-0.8
2035	32	MLB	SF	475	432	83	15	1	8	35	142	5	0	0	.192	.261	.287	.548	.095	.266	30	7	.253	52	-26	+0	-4	+5	+13	-1.1
2036	33	MLB	SF	446	405	77	14	1	7	33	137	5	0	0	.190	.260	.281	.541	.091	.265	31	7	.248	48	-26	+0	-4	+5	+13	-1.3
2037	34	MLB	SF	400	364	68	12	1	6	29	126	4	0	0	.187	.254	.275	.529	.088	.263	32	7	.242	43	-26	+0	-5	+4	+11	-1.5
▸ Career Totals (MLE all levels + projections)
Career	—			7645	6986	1340	250	25	136	506	2386	85	78	14	.192	.255	.293	.548	.101	.267	31	7	.247	47	-456	+10	-20	+82	+217	-17.1
/ 162G	—			650	594	114	21	2	12	43	203	7	7	1	.192	.255	.295	.549	.103	.266	31	7	.247	47	-39	+1	-2	+7	+18	-1.4

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	ACL Giants Orange	226	197	58	12	1	9	23	69	2	8	0	.294	.374	.503	.876	.208	.398	31	10	.380	149	+12	+2	—	—	+6	2.1
2022	19	A	San Jose Giants	565	503	136	35	2	14	49	155	10	11	6	.270	.347	.431	.778	.161	.362	27	9	.346	123	+15	-0	—	—	+16	3.1
2023	20	A+	Eugene Emeralds	546	493	116	29	3	17	40	132	7	8	2	.235	.302	.410	.712	.174	.283	24	7	.313	98	-1	+1	—	—	+15	1.5
2024	21	A+	Eugene Emeralds	94	82	15	3	1	0	12	26	0	2	0	.183	.287	.244	.531	.061	.268	28	13	.253	52	-5	+0	—	—	+3	-0.2
2024	21	INTL	Navegantes del Magallanes	21	20	5	0	0	0	0	6	0	0	0	.250	.250	.250	.500	.000	.357	29	0	.215	23	-2	+0	—	—	+1	-0.1
2025	22	AA	Richmond Flying Squirrels	474	435	82	15	1	6	29	124	1	5	1	.189	.240	.269	.509	.080	.246	26	6	.229	34	-36	+1	—	—	+13	-2.2
2025	22	INTL	Aguilas del Zulia	48	42	6	2	0	0	5	13	1	0	0	.143	.250	.190	.440	.048	.207	27	10	.217	24	-4	+0	—	—	+1	-0.3

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
Aeverson Arteaga (OGILVIE)	23	30	30	45	30	.180/.227/.268	.088	.261	5	4	33%	5%	31	-1.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Claudio Finol 2023 · AA	23	39	38→40	49→45	40	.187/.243/.265	.078	.259	5	8	29%	6%	37	-2.7	.205/.266/.297	.092	.292	8	10	31%	7%	55	-1.4	.195/.264/.279	.084	.281	10	12	32%	7%	48	-0.5
✕Alejandro Torres 2012 · A	23	38	37→40	45→40	35	.185/.221/.256	.071	.265	5	5	32%	4%	24	-3.6	.204/.259/.277	.073	.307	4	6	33%	6%	46	-2.0	.207/.273/.237	.030	.325	0	0	33%	7%	41	-0.4
✕Carlos Torres 2016 · A	23	37	38→30	46→50	37	.183/.223/.260	.077	.251	6	7	30%	4%	26	-3.4	.210/.250/.280	.070	.281	4	6	25%	5%	42	-2.3	.223/.254/.275	.051	.289	2	3	22%	3%	38	-0.9
✕Justin Twine 2019 · AA	23	42→30	39→40	48→50	32	.202/.241/.290	.087	.299	7	10	34%	3%	41	-2.3	.208/.247/.294	.086	.309	6	11	33%	4%	45	-2.1	.192/.230/.271	.079	.306	5	14	37%	3%	29	-1.7
✕Grayson Greiner 2016 · A	23	38	38→45	46→30	37	.185/.238/.260	.075	.283	6	3	35%	6%	33	-2.9	.212/.264/.314	.102	.298	9	3	30%	6%	58	-1.2	.218/.278/.331	.113	.293	11	0	28%	7%	66	-0.4
✕Steven Baron 2014 · A	23	36	40→45	52→50	36	.183/.218/.281	.098	.255	7	9	31%	4%	30	-3.1	.212/.258/.297	.085	.293	5	9	28%	6%	50	-1.7	.233/.289/.308	.075	.313	4	8	25%	7%	63	-0.4
✕Alex Lavisky 2014 · AA	23	38	43→45	46→30	37	.194/.241/.300	.106	.270	11	3	32%	5%	45	-2.1	.210/.255/.303	.093	.269	10	4	25%	5%	52	-1.6	.203/.246/.281	.078	.250	9	1	22%	5%	38	-0.9
✕Juan Zabala 2022 · AA	23	40	43→40	46→50	37	.196/.253/.305	.109	.301	11	7	37%	6%	52	-1.6	.215/.278/.307	.092	.296	9	16	28%	7%	63	-0.9	.203/.265/.285	.083	.283	8	16	30%	7%	48	-0.8
✕Daniel Berg 2008 · A	23	37	39→40	44→40	40	.183/.248/.267	.084	.269	7	4	33%	6%	40	-2.4	.204/.274/.291	.087	.309	7	4	34%	7%	57	-1.2	.202/.278/.286	.084	.311	6	2	34%	7%	54	-0.6
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	.177/.225/.258	.082	.279	7	4	38%	5%	27	-3.3	.181/.235/.260	.079	.301	7	5	40%	6%	32	-3.0	.113/.162/.125	.012	.213	0	0	44%	5%	-37	-1.5
✕Nick Quintana 2021 · A	23	39→40	39→45	49→45	37	.187/.241/.273	.085	.291	6	9	36%	6%	37	-2.6	.183/.266/.292	.109	.257	11	5	31%	9%	55	-1.4	.165/.258/.271	.106	.227	11	3	31%	10%	44	-1.1
✕Blake Hunt 2022 · AA	23	36	43→50	49→40	40	.184/.244/.291	.107	.270	10	4	35%	7%	44	-2.1	.200/.256/.326	.126	.277	13	4	32%	6%	59	-1.1	.206/.268/.347	.141	.262	15	2	27%	6%	67	-0.3
✕Edgardo Fermin 2021 · AA	23	38→29	40	49→45	34	.188/.230/.286	.098	.278	7	10	34%	4%	36	-2.7	.207/.272/.314	.107	.341	10	10	39%	7%	62	-0.9	.169/.246/.264	.095	.283	12	7	41%	8%	35	-0.8
✕Riccio Torrez 2013 · A	23	37→34	41→40	47→45	40	.188/.242/.282	.095	.235	9	7	24%	4%	41	-2.3	.197/.252/.289	.092	.254	7	6	25%	4%	47	-1.9	.191/.244/.275	.085	.248	6	3	25%	3%	38	-1.0
✕Jon Murphy 2013 · A	23	39	38→30	47→50	39	.188/.240/.266	.078	.269	5	13	31%	6%	35	-2.8	.202/.255/.266	.064	.303	4	10	32%	6%	41	-2.3	.197/.253/.251	.053	.301	3	10	33%	6%	33	-1.5
✕Matt Pagnozzi 2006 · AA	23	38	37→45	45→40	41	.184/.246/.257	.073	.269	4	7	31%	7%	37	-2.7	.188/.241/.268	.080	.270	5	4	31%	5%	37	-2.7	.210/.275/.291	.081	.289	7	0	28%	7%	55	-0.6
✕Ryan Dent 2012 · AA	23	39→42	40	46→50	38	.190/.242/.279	.089	.275	7	12	32%	6%	40	-2.4	.205/.258/.279	.074	.285	6	12	28%	6%	46	-2.0	.207/.258/.294	.088	.289	6	12	29%	5%	48	-1.0
✕Braulio Vasquez 2021 · A	22	40	39→40	44→65	37	.193/.250/.274	.080	.298	7	7	36%	6%	42	-2.3	.205/.278/.298	.093	.301	7	29	32%	7%	61	-1.0	.200/.277/.293	.093	.287	7	42	30%	7%	55	-0.6
✕Max Burt 2021 · AA	24	39	39→45	44→55	35	.194/.241/.275	.081	.273	8	6	31%	4%	38	-2.6	.201/.251/.316	.115	.288	13	15	33%	5%	53	-1.5	.192/.248/.313	.122	.271	15	21	34%	6%	49	-1.0
✕Bubba Hollins 2019 · A	23	39	39→30	45	43	.191/.259/.274	.083	.248	7	7	25%	6%	46	-2.0	.209/.267/.288	.079	.268	5	4	23%	6%	53	-1.5	.203/.266/.277	.074	.270	5	3	25%	6%	48	-0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)