Charlie Tilson

PosLF

B/TL/L

Born1992-12-02

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2021

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	25	AAACWS	292	.244/.289/.289	0	10	40	—	.225/.258/.262
2018	25	MLBCWS	121	.264/.331/.292	0	2	77	-1.0
2019	26	AAACWS	258	.288/.346/.398	3	4	66	—	.235/.276/.321
2019	26	MLBCWS	157	.229/.293/.285	1	4	64	-0.8
2021	28	AAAPHI	232	.296/.363/.404	1	13	85	—	.276/.327/.376
2022	29	No MLB games played
2023	30	No MLB games played
2024	31	No MLB games played
2025	32	No MLB games played
2026	33	No MLB games played

Last 3 seasons WAR -1.8

Contract

No contract data on file.

Skills · percentileStatcast 2016-2019

Speed90

xwOBA17

Barrel%10

Avg EV10

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)
2011	18	ROK	Johnson City Cardinals	—	30	27	9	2	0	0	3	4	0	1	0	333	400	407	807	74	391	13	10	367	72	—	—	—	—	—	—
2013	20	A+	Palm Beach Cardinals	—	39	34	10	1	1	0	5	6	0	0	0	294	385	382	767	88	357	15	13	349	80	—	—	—	—	—	—
2013	20	A	Peoria Chiefs	—	411	376	114	8	6	4	25	58	2	15	6	303	350	388	738	85	349	14	6	326	80	—	—	—	—	—	—
2014	21	AA	Springfield Cardinals	—	145	139	33	4	1	2	6	28	0	2	3	237	269	324	593	86	284	19	4	266	45	—	—	—	—	—	—
2014	21	A+	Palm Beach Cardinals	—	402	370	114	8	8	5	24	76	4	10	7	308	357	414	770	105	377	19	6	342	81	—	—	—	—	—	—
2015	22	AA	Springfield Cardinals	—	594	539	159	20	9	4	46	72	2	46	19	295	353	388	740	93	333	12	8	330	91	—	—	—	—	—	—
2015	22	INTL	Surprise Saguaros	—	69	59	12	3	0	0	9	13	0	4	0	203	309	254	563	51	261	19	13	265	65	—	—	—	—	—	—
2016	23	AAA	Memphis Redbirds	—	395	351	99	16	8	4	33	51	3	15	3	282	349	407	756	125	317	13	8	332	93	—	—	—	—	—	—
2017	24	INTL	Glendale Desert Dogs	—	40	32	6	2	0	0	7	7	0	1	1	188	333	250	583	62	231	18	18	277	73	—	—	—	—	—	—
2018	25	MLB	Chicago White Sox	—	121	106	28	1	1	0	10	20	1	2	3	264	331	292	623	28	322	17	8	282	77	-3	-1	-4	-4	+3	-1.0
2018	25	AAA	Charlotte Knights	—	292	270	66	12	0	0	16	52	1	10	2	244	289	289	578	44	301	18	5	261	40	—	—	—	—	—	—
2019	26	MLB	Chicago White Sox	—	157	144	33	5	0	1	10	38	3	4	0	229	293	285	578	56	305	24	6	268	64	-7	+1	-1	-4	+3	-0.8
2019	26	AAA	Charlotte Knights	—	258	236	68	13	2	3	19	43	2	4	3	288	346	398	745	110	340	17	7	334	66	—	—	—	—	—	—
2021	28	AAA	Lehigh Valley IronPigs	—	232	203	60	13	3	1	17	47	5	13	2	296	363	404	767	108	376	20	7	336	85	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	278	250	61	6	1	1	20	58	4	6	3	244	309	288	597	44	312	21	7	274	72	-9	+0	-5	-9	+6	-1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	18	ROK MLE	Johnson City Cardinals	—	30	28	7	1	0	0	2	6	0	1	0	250	300	286	586	36	322	20	7	274	72	—	—	—	—	—	—
2013	20	A+ MLE	Palm Beach Cardinals	—	39	35	9	1	1	0	4	9	0	0	0	257	333	343	676	86	329	23	10	286	80	—	—	—	—	—	—
2013	20	A MLE	Peoria Chiefs	—	411	385	108	6	6	4	16	81	2	15	6	281	313	358	671	78	336	20	4	287	80	—	—	—	—	—	—
2014	21	AA MLE	Springfield Cardinals	—	145	141	32	4	1	1	4	35	0	2	3	227	248	291	539	64	289	24	3	235	45	—	—	—	—	—	—
2014	21	A+ MLE	Palm Beach Cardinals	—	402	376	98	8	7	5	18	108	4	10	7	261	302	359	661	98	350	27	4	288	81	—	—	—	—	—	—
2015	22	AA MLE	Springfield Cardinals	—	594	554	158	18	9	3	31	90	2	46	19	285	325	366	692	81	330	15	5	303	91	—	—	—	—	—	—
2016	23	AAA MLE	Memphis Redbirds	—	395	359	98	15	8	4	25	67	3	15	3	273	326	393	718	120	312	17	6	306	93	—	—	—	—	—	—
2018	25	MLB MLE	Chicago White Sox	—	121	107	28	1	1	0	10	20	1	2	3	262	331	290	620	28	322	17	8	282	77	-3	-1	-4	-4	+3	-1.0
2018	25	AAA MLE	Charlotte Knights	—	292	275	62	10	0	0	11	63	1	10	2	225	258	262	520	36	283	22	4	227	40	—	—	—	—	—	—
2019	26	MLB MLE	Chicago White Sox	—	157	145	33	5	0	1	9	38	3	4	0	228	287	283	569	55	305	24	6	263	64	-7	+1	-1	-4	+3	-0.8
2019	26	AAA MLE	Charlotte Knights	—	258	243	57	11	2	2	12	54	2	4	3	235	276	321	597	86	294	21	5	266	66	—	—	—	—	—	—
2021	28	AAA MLE	Lehigh Valley IronPigs	—	232	210	58	12	3	1	11	57	5	13	2	276	327	376	704	100	348	25	5	294	85	—	—	—	—	—	—
2011	18	ROK MLE	Johnson City Cardinals	—	30	28	7	1	0	0	2	6	0	1	0	250	300	286	586	36	318	20	7	274	72	—	—	—	—	—	—
2011	18	ROK RAW	Johnson City Cardinals	—	30	27	9	2	0	0	3	4	0	1	0	333	400	407	807	74	391	13	10	367	72	—	—	—	—	—	—
2013	20	A MLE	2 teams	—	450	421	117	7	7	4	19	89	2	15	6	278	312	356	669	78	343	20	4	287	80	—	—	—	—	—	—
2013	20	A RAW	2 teams	—	450	410	124	9	7	4	30	64	2	15	6	302	353	388	741	85	350	14	7	328	80	—	—	—	—	—	—
2014	21	A+ MLE	2 teams	—	547	517	130	12	8	6	22	143	4	12	10	251	287	340	628	89	337	26	4	274	72	—	—	—	—	—	—
2014	21	A+ RAW	2 teams	—	547	509	147	12	9	7	30	104	4	12	10	289	333	389	722	100	352	19	5	322	72	—	—	—	—	—	—
2015	22	AA MLE	2 teams	—	663	618	176	20	10	3	35	100	2	50	19	285	325	364	689	79	334	15	5	303	91	—	—	—	—	—	—
2015	22	AA RAW	2 teams	—	663	598	171	23	9	4	55	85	2	50	19	286	348	375	723	89	326	13	8	323	91	—	—	—	—	—	—
2016	23	AAA MLE	Memphis Redbirds	—	395	359	98	15	8	4	25	67	3	15	3	273	326	393	718	120	322	17	6	306	93	—	—	—	—	—	—
2016	23	AAA RAW	Memphis Redbirds	—	395	351	99	16	8	4	33	51	3	15	3	282	349	407	756	125	317	13	8	332	93	—	—	—	—	—	—
2017	24	INTL MLE	Glendale Desert Dogs	—	40	32	6	2	0	0	7	7	0	1	1	188	333	250	583	62	231	18	18	—	—	—	—	—	—	—	—
2017	24	INTL RAW	Glendale Desert Dogs	—	40	32	6	2	0	0	7	7	0	1	1	188	333	250	583	62	231	18	18	277	73	—	—	—	—	—	—
2018	25	AAA MLE	2 teams	—	413	382	90	11	1	0	21	83	2	12	5	236	279	270	549	34	299	20	5	243	51	—	—	—	—	—	—
2018	25	AAA RAW	2 teams	—	413	376	94	13	1	0	26	72	2	12	5	250	301	290	591	40	307	17	6	267	51	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	415	388	90	16	2	3	21	92	5	8	3	232	280	307	587	75	296	22	5	265	65	—	—	—	—	—	—
2019	26	AAA RAW	2 teams	—	415	380	101	18	2	4	29	81	5	8	3	266	326	355	681	89	328	20	7	309	65	—	—	—	—	—	—
2021	28	AAA MLE	Lehigh Valley IronPigs	—	232	210	58	12	3	1	11	57	5	13	2	276	327	376	704	100	370	25	5	294	85	—	—	—	—	—	—
2021	28	AAA RAW	Lehigh Valley IronPigs	—	232	203	60	13	3	1	17	47	5	13	2	296	363	404	767	108	376	20	7	336	85	—	—	—	—	—	—
2011	18	ROK MLE	Johnson City Cardinals	—	30	28	7	1	0	0	2	6	0	1	0	250	300	286	586	36	322	20	7	274	72	—	—	—	—	—	—
2013	20	A MLE	2 teams	—	450	426	117	7	7	4	19	89	2	15	6	275	312	352	664	77	335	20	4	287	80	—	—	—	—	—	—
2014	21	A+ MLE	2 teams	—	547	516	130	12	8	6	22	143	4	12	10	252	287	341	628	89	334	26	4	274	72	—	—	—	—	—	—
2015	22	AA MLE	2 teams	—	663	621	176	20	10	3	35	100	2	50	19	283	325	362	688	79	330	15	5	303	91	—	—	—	—	—	—
2016	23	AAA MLE	Memphis Redbirds	—	395	364	98	15	8	4	25	67	3	15	3	269	326	387	713	118	312	17	6	306	93	—	—	—	—	—	—
2018	25	AAA MLE	2 teams	—	413	387	90	11	1	0	21	83	2	12	5	233	279	266	545	34	294	20	5	243	51	—	—	—	—	—	—
2019	26	AAA MLE	2 teams	—	415	386	90	16	2	3	21	92	5	8	3	233	280	308	588	75	298	22	5	265	65	—	—	—	—	—	—
2021	28	AAA MLE	Lehigh Valley IronPigs	—	232	214	58	12	3	1	11	57	5	13	2	271	327	369	697	98	348	25	5	294	85	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	278	250	61	6	1	1	20	58	4	6	3	244	309	288	597	44	312	21	7	274	75	-9	+0	-5	-9	+6	-1.8
/ 162G	—	A+C		—	650	585	142	14	2	2	47	136	9	14	7	243	308	284	592	41	312	21	7	274	75	-22	+0	-12	-21	+14	-4.1
Career	—	MLE		—	3185	2955	772	96	39	21	163	644	23	127	49	261	305	341	646	80	326	20	5	279	75	-9	+0	-5	-9	+6	-1.8
/ 162G	—	MLE		—	650	603	158	20	8	4	33	131	5	26	10	262	306	342	647	80	327	20	5	279	75	-22	+0	-12	-21	+14	-4.1

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.

2021 AAALehigh Valley IronPigs · 232 PAwOBA .331 → .294 (−36)K% 20.3% → 24.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.26%	÷0.992	×1.200	—	—	24.51%
BB% (unintentional) /PA	7.33%	÷1.061	×0.690	—	×0.982	4.68%
HBP% /PA	2.16%	—	×0.940	—	×0.982	1.99%
Singles /BIP	27.56%	÷1.016	×0.930	×1.050	×0.982	26.00%
Doubles /BIP	8.33%	÷0.952	×0.830	×1.050	×0.982	7.49%
Triples /BIP	1.92%	÷1.150	×0.920	×1.050	×0.982	1.59%
Home runs /BIP	0.64%	÷0.957	×0.700	—	×0.982	0.46%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 103, 2B 90, 3B 130, K 98, BB 112 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .331 → .294; ISO .108 → .095; BABIP .376 → .348. 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).

2019 AAACharlotte Knights · 258 PAwOBA .326 → .266 (−60)K% 16.7% → 20.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.962	×1.200	—	—	20.80%
BB% (unintentional) /PA	7.36%	÷1.077	×0.690	—	×1.003	4.73%
HBP% /PA	0.78%	—	×0.940	—	×1.003	0.73%
Singles /BIP	25.91%	÷1.061	×0.930	×0.976	×1.003	22.23%
Doubles /BIP	6.74%	÷0.921	×0.830	×0.976	×1.003	5.94%
Triples /BIP	1.04%	÷0.900	×0.970	×0.976	×1.003	1.09%
Home runs /BIP	1.55%	÷1.212	×0.840	—	×1.003	1.08%

Factors used: league row IL. Park (home-season share, regressed): HR 142, 1B 112, 2B 84, 3B 80, K 92, BB 115 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .326 → .266; ISO .110 → .092; BABIP .340 → .294. 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).

2018 AAACharlotte Knights · 292 PAwOBA .255 → .227 (−28)K% 17.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.81%	÷0.986	×1.200	—	—	21.66%
BB% (unintentional) /PA	5.48%	÷1.030	×0.690	—	×1.018	3.74%
HBP% /PA	0.34%	—	×0.940	—	×1.018	0.33%
Singles /BIP	24.77%	÷1.030	×0.930	×1.050	×1.018	23.90%
Doubles /BIP	5.50%	÷1.077	×0.830	×1.050	×1.018	4.54%
Triples /BIP	0.00%	÷1.150	×0.970	×1.050	×1.018	0.00%
Home runs /BIP	0.00%	÷1.319	×0.840	—	×1.018	0.00%

Factors used: league row IL. Park (home-season share, regressed): HR 164, 1B 106, 2B 115, 3B 130, K 97, BB 106 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .255 → .227; ISO .044 → .036; BABIP .301 → .283. 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).

2016 AAAMemphis Redbirds · 395 PAwOBA .327 → .306 (−21)K% 12.9% → 16.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.91%	÷0.988	×1.290	—	—	16.85%
BB% (unintentional) /PA	8.35%	÷0.983	×0.710	—	×1.048	6.32%
HBP% /PA	0.76%	—	×0.980	—	×1.048	0.78%
Singles /BIP	23.67%	÷0.989	×0.900	×1.050	×1.048	23.69%
Doubles /BIP	5.33%	÷0.941	×0.810	×1.050	×1.048	5.05%
Triples /BIP	2.67%	÷0.951	×0.810	×1.050	×1.048	2.50%
Home runs /BIP	1.33%	÷0.931	×0.780	—	×1.048	1.17%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 98, 2B 88, 3B 90, K 98, BB 97 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .327 → .306; ISO .125 → .116; BABIP .317 → .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).

2015 AASpringfield Cardinals · 594 PAwOBA .322 → .303 (−19)K% 12.1% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.12%	÷0.978	×1.220	—	—	15.13%
BB% (unintentional) /PA	7.41%	÷1.000	×0.700	—	×1.027	5.32%
HBP% /PA	0.34%	—	×0.870	—	×1.027	0.30%
Singles /BIP	26.98%	÷0.982	×0.920	×1.047	×1.027	27.18%
Doubles /BIP	4.28%	÷1.003	×0.840	×1.047	×1.027	3.86%
Triples /BIP	1.93%	÷1.003	×0.940	×1.047	×1.027	1.94%
Home runs /BIP	0.86%	÷1.140	×0.800	—	×1.027	0.62%

Factors used: league row TL. Park (home-season share, regressed): HR 128, 1B 96, 2B 101, 3B 101, K 96, BB 100 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.047.

Result: wOBA .322 → .303; ISO .093 → .084; BABIP .333 → .330. 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).

2014 A+Palm Beach Cardinals · 402 PAwOBA .332 → .288 (−44)K% 18.9% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.91%	÷0.998	×1.420	—	—	26.89%
BB% (unintentional) /PA	5.72%	÷0.971	×0.750	—	×1.012	4.47%
HBP% /PA	1.00%	—	×0.930	—	×1.012	0.94%
Singles /BIP	31.63%	÷1.073	×0.920	×1.050	×1.012	28.81%
Doubles /BIP	2.72%	÷0.933	×0.960	×1.050	×1.012	2.98%
Triples /BIP	2.72%	÷0.900	×0.810	×1.050	×1.012	2.60%
Home runs /BIP	1.70%	÷0.809	×0.880	—	×1.012	1.87%

Factors used: league row FSL. Park (home-season share, regressed): HR 62, 1B 115, 2B 87, 3B 80, K 100, BB 94 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .332 → .288; ISO .105 → .101; BABIP .377 → .350. 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).

2014 AASpringfield Cardinals · 145 PAwOBA .259 → .235 (−25)K% 19.3% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.31%	÷0.972	×1.220	—	—	24.23%
BB% (unintentional) /PA	4.14%	÷1.033	×0.700	—	×1.042	2.92%
HBP% /PA	0.00%	—	×0.870	—	×1.042	0.00%
Singles /BIP	23.42%	÷0.974	×0.920	×1.050	×1.042	24.22%
Doubles /BIP	3.60%	÷0.982	×0.840	×1.050	×1.042	3.37%
Triples /BIP	0.90%	÷0.991	×0.940	×1.050	×1.042	0.93%
Home runs /BIP	1.80%	÷1.221	×0.800	—	×1.042	1.23%

Factors used: league row TL. Park (home-season share, regressed): HR 144, 1B 95, 2B 96, 3B 98, K 94, BB 107 — 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 ×1.050.

Result: wOBA .259 → .235; ISO .086 → .068; BABIP .284 → .289. 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).

2013 APeoria Chiefs · 411 PAwOBA .318 → .287 (−30)K% 14.1% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.11%	÷0.980	×1.360	—	—	19.58%
BB% (unintentional) /PA	5.84%	÷1.068	×0.690	—	×1.015	3.83%
HBP% /PA	0.49%	—	×0.780	—	×1.015	0.39%
Singles /BIP	30.19%	÷1.002	×0.920	×1.050	×1.015	29.53%
Doubles /BIP	2.52%	÷1.203	×0.830	×1.050	×1.015	1.85%
Triples /BIP	1.89%	÷0.938	×0.910	×1.050	×1.015	1.95%
Home runs /BIP	1.26%	÷0.867	×0.800	—	×1.015	1.18%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 100, 2B 141, 3B 88, K 96, BB 114 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .318 → .287; ISO .085 → .077; BABIP .349 → .336. 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 — .