Christopher Paciolla

Christopher PaciollaSS ACL Cubs

Age 22 R/R 6'1" / 185 lbs ROK BB +5%HR -4% Svc 0.0 · Ctrl thru 2037 peak 0.7 · 2030

wRC+†55

AVG/OBP/SLG.197 / .259 / .303

PA208

HR4

K%32

BB%6

MLB%0%

Scouting · now → future

HIT

20↗25

PWR

32↗37

SPD

47↗52

EYE

33↗38

trajectory · 10 yrs

0.7peak

2030

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
2026	MiLB	still in minors · estimated debut 2032
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	Ext / FA-deal	$0.9M	+0.6	$3M	+$2M
2033	Ext / FA-deal	$1.0M	+0.4	$2M	+$1M
2034	Ext / FA-deal	$1.0M	+0.3	$2M	+$0.5M
2035	Ext / FA-deal	$3M	—	—	—
2036	Ext / FA-deal	$0.4M	—	—	—
2037	Ext / FA-deal	$0.6M	—	—	—
Totals		$7M		$3M	-$4M

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
2022	18	ROK	ACL Cubs	25	22	2	0	0	1	1	10	2	1	0	.091	.200	.227	.427	.136	.091	40	4	.179	-5	-3	+0	+0	+0	+1	-0.2
2023	19	ROK	ACL Cubs	142	130	24	4	0	3	5	45	5	6	3	.185	.243	.285	.527	.100	.250	32	4	.226	31	-11	+0	+0	+2	+4	-0.6
2024	20	A	Myrtle Beach Pelicans	275	267	41	10	0	2	7	111	0	3	1	.154	.175	.213	.389	.060	.252	40	3	.169	-12	-35	+0	+0	+3	+8	-2.4
2025	21	ROK	3 teams	222	199	28	7	0	1	11	83	10	9	4	.141	.223	.191	.414	.050	.231	37	5	.187	2	-25	+0	+0	+2	+6	-1.6
▸ 2026 Season
2026	22	MLB	CHC	208	190	38	8	1	4	13	67	3	4	1	.200	.262	.316	.578	.116	.280	32	6	.257	55	-11	+0	+0	+2	+6	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	CHC	268	244	49	10	1	5	19	82	3	5	1	.201	.267	.311	.578	.111	.282	31	7	.270	64	-11	+1	+0	+3	+8	0.0
2028	24	MLB 26%	CHC	358	323	68	14	1	8	27	106	5	7	2	.211	.282	.334	.616	.124	.284	30	8	.278	71	-12	+1	+0	+4	+10	0.3
2029	25	MLB 43%	CHC	409	370	80	16	2	10	31	119	5	8	2	.216	.286	.351	.637	.135	.285	29	8	.283	75	-12	+1	+0	+4	+12	0.5
2030	26	MLB 58%	CHC	442	398	86	17	2	11	35	128	6	9	2	.216	.289	.352	.641	.136	.285	29	8	.286	77	-11	+1	+0	+5	+13	0.7
2031	27	MLB 76%	CHC	455	410	88	18	2	11	36	132	6	9	2	.215	.288	.349	.636	.134	.285	29	8	.286	77	-12	+1	+0	+5	+13	0.7
2032	28	MLB 84%	CHC	459	413	88	18	2	11	37	134	6	9	2	.213	.287	.346	.634	.133	.285	29	8	.285	76	-12	+1	-1	+5	+13	0.6
2033	29	MLB	CHC	455	409	88	18	2	11	37	134	6	8	2	.215	.290	.350	.639	.134	.284	29	8	.283	75	-13	+1	-1	+5	+13	0.4
2034	30	MLB	CHC	448	403	84	17	2	10	36	134	6	8	1	.208	.283	.335	.618	.127	.283	30	8	.280	72	-14	+1	-2	+5	+13	0.3
2035	31	MLB	CHC	436	393	80	16	1	10	35	132	5	7	1	.204	.277	.326	.603	.122	.281	30	8	.276	69	-15	+1	-3	+5	+12	0.0
2036	32	MLB	CHC	419	377	76	15	1	9	34	129	5	6	0	.202	.276	.318	.595	.117	.279	31	8	.271	66	-16	+1	-4	+4	+12	-0.2
2037	33	MLB	CHC	390	351	70	14	1	8	31	123	5	5	0	.199	.274	.313	.587	.114	.278	32	8	.266	62	-17	+1	-4	+4	+11	-0.5
2038	34	MLB	CHC	346	311	60	12	1	6	28	112	4	5	0	.193	.268	.296	.564	.103	.276	32	8	.259	57	-17	+1	-5	+4	+10	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			5757	5210	1050	214	19	121	423	1781	82	109	24	.202	.272	.320	.592	.118	.278	31	7	.266	62	-246	+12	-20	+62	+163	-3.0
/ 162G	—			650	588	119	24	2	14	48	201	9	12	3	.202	.272	.321	.594	.119	.279	31	7	.266	62	-28	+1	-2	+7	+18	-0.4

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	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2022	18	ROK	ACL Cubs	25	21	3	0	1	2	7	2	1	0	.143	.280	.286	.566	.143	.154	28	8	.270	65	-1	+0	—	—	+1	-0.0
2023	19	ROK	ACL Cubs	142	127	33	6	4	8	31	5	6	3	.260	.329	.402	.730	.142	.309	22	6	.325	107	+1	+0	—	—	+4	0.5
2024	20	A	Myrtle Beach Pelicans	275	263	54	15	2	11	77	0	3	1	.205	.237	.285	.522	.080	.281	28	4	.235	38	-19	+0	—	—	+8	-1.2
2025	21	A+	South Bend Cubs	39	32	6	2	0	5	8	2	1	0	.188	.333	.250	.583	.062	.250	21	13	.286	77	-1	+0	—	—	+1	0.0
2025	21	A	Myrtle Beach Pelicans	76	67	12	6	0	7	17	2	3	2	.179	.276	.269	.545	.090	.240	22	9	.256	54	-4	-0	—	—	+2	-0.2
2025	21	ROK	ACL Cubs	107	93	19	1	1	6	32	6	5	2	.204	.295	.247	.543	.043	.290	30	6	.256	54	-6	+0	—	—	+3	-0.2

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
Christopher Paciolla (OGILVIE)	22	20→25	32→37	47→52	38	.197/.259/.303	.106	.280	4	4	32%	6%	55	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Aaron McKeithan 2022 · A	22	41	39→40	49→40	40	.198/.263/.282	.084	.277	6	7	29%	6%	50	-1.7	.218/.296/.304	.086	.283	8	4	24%	7%	70	-0.3	.219/.302/.289	.070	.280	7	1	22%	7%	69	-0.2
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	40	.203/.258/.301	.098	.286	8	8	31%	6%	52	-1.6	.200/.266/.289	.089	.294	8	9	32%	7%	53	-1.5	.183/.256/.260	.077	.269	7	8	32%	8%	40	-1.1
✕Franklin Tineo 2017 · A	22	36	37→45	45→50	45	.177/.245/.250	.073	.241	5	9	27%	7%	34	-2.8	.198/.276/.297	.099	.276	8	10	29%	8%	60	-1.0	.201/.298/.325	.124	.262	10	12	25%	10%	74	-0.0
✕Tyler Kolodny 2010 · A	22	40→34	44→45	49→50	40	.200/.267/.320	.119	.267	12	8	29%	6%	63	-0.9	.206/.277/.341	.135	.271	14	9	29%	6%	72	-0.2	.206/.284/.354	.148	.258	17	10	26%	5%	76	+0.0
✕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
✕Corey Joyce 2021 · A	22	44	40→45	50	40	.212/.268/.307	.095	.307	8	8	32%	6%	58	-1.2	.203/.290/.313	.110	.295	11	12	32%	9%	70	-0.3	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Fabian Pertuz 2023 · A	22	39→35	41→40	49→55	34	.191/.234/.284	.092	.286	8	9	35%	4%	37	-2.6	.177/.227/.268	.091	.270	9	12	36%	5%	30	-3.1	.148/.203/.232	.084	.229	9	13	38%	5%	9	-2.3
✕Juan Uriarte 2021 · A	23	38	41→45	48→30	32	.190/.229/.285	.095	.284	9	6	36%	4%	36	-2.7	.195/.244/.278	.083	.290	6	6	33%	4%	40	-2.4	.151/.199/.200	.049	.234	0	0	33%	2%	-2	-1.2
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕Marcus Greene Jr. 2017 · A	22	35	46→50	45→40	40	.185/.251/.313	.128	.265	15	5	35%	7%	53	-1.5	.209/.268/.329	.120	.279	13	4	28%	7%	65	-0.7	.211/.271/.321	.110	.275	12	2	27%	7%	61	-0.4
✕Steven Baron 2013 · A	22	39	40→45	49→50	38	.193/.232/.289	.096	.258	8	9	28%	4%	37	-2.6	.196/.234/.287	.091	.275	6	9	30%	5%	38	-2.6	.233/.289/.308	.075	.313	4	8	25%	7%	63	-0.4
✕Chris Roller 2019 · A	22	40	41→45	51→55	43	.194/.269/.295	.102	.283	8	13	32%	8%	56	-1.3	.206/.272/.316	.110	.289	8	12	30%	7%	63	-0.9	.179/.267/.290	.111	.261	11	19	33%	9%	54	-0.8
✕Payton Henry 2018 · A	21	40→31	41→45	46→30	38	.191/.255/.294	.102	.304	8	4	38%	7%	50	-1.7	.187/.253/.289	.102	.316	10	2	41%	6%	48	-1.9	.246/.293/.382	.135	.322	19	1	29%	4%	83	+0.2
✕Dylan Neuse 2023 · A	24	37	39→40	49→50	44	.183/.260/.264	.081	.271	8	14	33%	9%	45	-2.1	.205/.286/.296	.091	.292	7	13	29%	9%	63	-0.8	.211/.301/.305	.094	.293	5	13	27%	10%	72	-0.1
✕Anderson Gomes 2007 · A	22	41→38	43→45	47→50	39	.205/.252/.313	.108	.275	10	9	29%	5%	53	-1.5	.220/.270/.333	.113	.292	11	7	27%	6%	66	-0.6	.223/.275/.335	.112	.290	12	5	26%	6%	67	-0.2
✕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
✕Claudio Finol 2022 · A	22	40	38→40	45	41	.193/.251/.277	.084	.263	5	6	28%	6%	43	-2.2	.195/.252/.280	.085	.275	7	9	30%	6%	45	-2.1	.195/.264/.279	.084	.281	10	12	32%	7%	48	-0.5
✕Alex Todd 2012 · A	22	40	37→40	45	39	.190/.251/.264	.074	.264	4	5	28%	5%	40	-2.4	.220/.285/.306	.086	.297	6	6	26%	5%	66	-0.6	.237/.305/.323	.086	.317	6	5	25%	5%	76	+0.0
✕Juan Zabala 2021 · A	22	39	38→40	47→50	37	.185/.248/.266	.081	.290	6	5	36%	6%	40	-2.4	.211/.273/.305	.094	.302	9	13	31%	7%	60	-1.0	.203/.265/.285	.083	.283	8	16	30%	7%	48	-0.8
✕Riccio Torrez 2012 · A	22	41→34	42→40	47→45	39	.207/.253/.311	.103	.263	10	7	25%	4%	53	-1.5	.192/.247/.283	.091	.244	8	6	24%	4%	43	-2.2	.181/.237/.268	.087	.231	7	4	24%	4%	33	-1.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)