Dansby Swanson

SS Chicago Cubs

Age 33 R/R 6'0" / 190 lbs MLB HR -8% Svc 10.273 · Ctrl thru 2029

Overview

MLB40-MANExtFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	30	MLBCHC	593	.242/.314/.390	16	19	97	3.6
2025	31	MLBCHC	645	.244/.302/.417	24	20	100	2.9
2026	32	MLBCHC	486	.213/.299/.397	19	17	95	1.6
2027PROJ	33	MLBCHC	430	.247/.319/.433	17	14	110	2.3
2028PROJ	34	MLBCHC	394	.238/.308/.412	15	8	102	1.1
2029PROJ	35	MLBCHC	302	.227/.296/.389	10	3	92	0.3

Last 3 seasons WAR 8.1 · Next 3 projected WAR 3.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2029Service10.273First FA2028NTC

2027Ext$25M2028Ext$25M2029Ext$25M

Skills · percentileStatcast 2024-2026

Speed71

xwOBA65

Barrel%59

Avg EV59

Bat Spd47

CompsJ.T. Realmuto (age 33) · Aaron Boone (age 32) · Luis Terrero (age 33)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 115110vR 95

AVG/OBP/SLG.247 / .319 / .433

PA430

HR17

SB14

K%24

BB%9

BABIP294

ISO184

MLB%100%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$48M ctrl surplus

Tools · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

420.245

POWER

Barrel%

599.6

Avg EV

5989.8

Bat Spd

4771.0

SPEED

Sprint

7128.3

Platoon Splits2024-2026 · 1347 PA

vs LHP

vs RHP

Edge

300

1047

—

wRC+

141

◀◀L

wOBA

377

297

◀◀L

ISO

218

153

◀◀L

BABIP

363

271

◀◀L

25.0%

—

BB%

8.0%

8.9%

▶R

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

Status FA

MLB Debut 2016

Service 10.273 yrs.days

Team Control Through 2029

First FA Year 2028

NTC

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext	$25M	+2.1	$17M	-$8M
2028	Ext	$25M	+1.1	$8M	-$15M
2029	Ext	$25M	+0.3	$1M	-$19M
Totals		$76M		$26M	-$43M

Underwater contract
Projected production over the remaining contract is worth -$43M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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)
2016	22	MLB	Atlanta Braves	—	145	129	39	7	1	3	13	34	0	3	0	302	366	442	808	140	383	23	9	353	109	+2	+1	+2	+7	+3	1.4
2016	22	AA	Mississippi Braves	—	377	333	87	13	5	8	35	71	7	6	2	261	344	402	746	141	309	19	9	335	73	—	—	—	—	—	—
2016	22	A+	Carolina Mudcats	—	93	78	26	12	0	1	15	13	0	7	1	333	441	526	967	192	391	14	16	427	120	—	—	—	—	—	—
2017	23	MLB	Atlanta Braves	—	551	488	113	23	2	6	59	120	0	3	3	232	314	324	638	92	292	22	11	292	75	-16	-1	+0	+6	+12	0.1
2017	23	AAA	Gwinnett Braves	—	45	38	9	1	0	1	6	9	1	1	0	237	356	342	698	105	286	20	13	325	76	—	—	—	—	—	—
2018	24	MLB	Atlanta Braves	—	533	478	114	25	4	14	44	122	2	10	4	238	305	395	701	157	290	23	8	308	81	-12	+0	+8	+6	+12	1.4
2019	25	MLB	Atlanta Braves	—	545	483	121	26	3	17	51	124	5	10	5	251	328	422	751	172	300	23	9	332	109	+6	+0	+4	+6	+12	2.8
2020	26	MLB	Atlanta Braves	—	264	237	65	15	0	10	22	71	4	5	0	274	346	464	810	190	350	27	8	358	129	+9	+1	+6	+3	+6	2.5
2021	27	MLB	Atlanta Braves	—	653	588	146	33	2	27	52	167	5	9	3	248	315	449	764	201	297	26	8	333	109	+7	+1	+7	+7	+14	3.6
2022	28	MLB	Atlanta Braves	—	696	640	177	32	1	25	49	182	3	18	7	277	331	447	778	170	348	26	7	343	118	+15	+1	+19	+7	+15	5.9
2023	29	MLB	Chicago Cubs	—	638	565	138	25	3	22	66	154	5	9	1	244	329	416	745	172	297	24	10	332	111	+8	+1	+18	+7	+14	5.0
2024	30	MLB	Chicago Cubs	—	593	534	129	27	2	16	54	144	2	19	3	242	314	390	703	148	300	24	9	314	97	-2	+3	+16	+6	+13	3.6
2025	31	MLB	Chicago Cubs	—	645	590	144	24	3	24	47	168	2	20	3	244	302	417	719	173	298	26	7	316	100	-0	+3	+5	+7	+14	2.9
2026	32	MLB	Chicago Cubs	—	486	428	91	16	3	19	51	115	2	17	1	213	299	397	697	185	242	24	10	309	95	-3	+3	-0	+5	+11	1.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5749	5160	1277	253	24	183	508	1401	30	123	30	247	319	412	731	165	303	24	9	324	105	+35	+13	+84	+67	+125	33.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	22	MLB MLE	Atlanta Braves	—	145	134	39	7	1	3	8	34	0	3	0	291	331	425	756	134	383	23	6	330	109	+2	+1	+2	+7	+3	1.4
2016	22	AA MLE	Mississippi Braves	—	377	345	78	11	4	6	23	83	7	6	2	226	288	333	621	107	276	22	6	276	73	—	—	—	—	—	—
2016	22	A+ MLE	Carolina Mudcats	—	93	84	24	10	0	1	9	18	0	7	1	286	355	440	795	155	350	19	10	345	120	—	—	—	—	—	—
2017	23	MLB MLE	Atlanta Braves	—	551	498	113	23	2	6	49	120	0	3	3	227	296	317	613	90	292	22	9	279	75	-16	-1	+0	+6	+12	0.1
2017	23	AAA MLE	Gwinnett Braves	—	45	40	9	1	0	1	4	11	1	1	0	225	311	325	636	100	275	24	9	280	76	—	—	—	—	—	—
2018	24	MLB MLE	Atlanta Braves	—	533	493	114	25	4	14	29	122	2	10	4	231	277	383	660	152	290	23	5	288	81	-12	+0	+8	+6	+12	1.4
2019	25	MLB MLE	Atlanta Braves	—	545	485	121	26	3	17	49	124	5	10	5	249	325	421	745	171	300	23	9	329	109	+6	+0	+4	+6	+12	2.8
2020	26	MLB MLE	Atlanta Braves	—	264	237	65	15	0	10	22	71	4	5	0	274	346	464	810	190	350	27	8	358	129	+9	+1	+6	+3	+6	2.5
2021	27	MLB MLE	Atlanta Braves	—	653	592	146	33	2	27	48	167	5	9	3	247	309	446	754	199	297	26	7	329	109	+7	+1	+7	+7	+14	3.6
2022	28	MLB MLE	Atlanta Braves	—	696	640	177	32	1	25	49	182	3	18	7	277	331	447	778	170	348	26	7	343	118	+15	+1	+19	+7	+15	5.9
2023	29	MLB MLE	Chicago Cubs	—	638	565	138	24	3	23	66	154	5	9	1	244	329	419	748	175	297	24	10	332	111	+8	+1	+18	+7	+14	5.0
2024	30	MLB MLE	Chicago Cubs	—	593	536	129	26	2	17	52	144	2	19	3	241	310	392	702	151	300	24	9	311	97	-2	+3	+16	+6	+13	3.6
2025	31	MLB MLE	Chicago Cubs	—	645	591	144	23	3	25	46	168	2	20	3	244	300	420	720	176	298	26	7	316	100	-0	+3	+5	+7	+14	2.9
2026	32	MLB MLE	Chicago Cubs	—	486	428	92	16	3	20	51	115	2	17	1	215	301	407	708	192	242	24	10	309	95	-3	+3	-0	+5	+11	1.6
2016	22	AA MLE	3 teams	—	615	563	141	28	5	10	40	135	7	16	3	250	308	371	679	121	310	22	7	299	89	—	—	—	—	—	—
2016	22	AA RAW	3 teams	—	615	540	152	32	6	12	63	118	7	16	3	281	364	430	794	148	338	19	10	353	89	—	—	—	—	—	—
2017	23	MLB MLE	2 teams	—	596	538	122	24	2	7	53	131	1	4	3	227	297	318	615	91	285	22	9	279	75	-18	-0	+0	+6	+13	0.1
2017	23	MLB RAW	2 teams	—	596	526	122	24	2	7	65	129	1	4	3	232	318	325	643	93	292	22	11	294	75	-18	-0	+0	+6	+13	0.1
2018	24	MLB MLE	Atlanta Braves	—	533	493	114	25	4	14	29	122	2	10	4	231	277	383	660	152	278	23	5	288	81	-12	+0	+8	+6	+12	1.4
2018	24	MLB RAW	Atlanta Braves	—	533	478	114	25	4	14	44	122	2	10	4	238	305	395	701	157	290	23	8	308	81	-12	+0	+8	+6	+12	1.4
2019	25	MLB MLE	Atlanta Braves	—	545	485	121	26	3	17	49	124	5	10	5	249	325	421	745	171	298	23	9	329	109	+6	+0	+4	+6	+12	2.8
2019	25	MLB RAW	Atlanta Braves	—	545	483	121	26	3	17	51	124	5	10	5	251	328	422	751	172	300	23	9	332	109	+6	+0	+4	+6	+12	2.8
2020	26	MLB MLE	Atlanta Braves	—	264	237	65	15	0	10	22	71	4	5	0	274	346	464	810	190	350	27	8	358	129	+9	+1	+6	+3	+6	2.5
2020	26	MLB RAW	Atlanta Braves	—	264	237	65	15	0	10	22	71	4	5	0	274	346	464	810	190	350	27	8	358	129	+9	+1	+6	+3	+6	2.5
2021	27	MLB MLE	Atlanta Braves	—	653	592	146	33	2	27	48	167	5	9	3	247	309	446	754	199	294	26	7	329	109	+7	+1	+7	+7	+14	3.6
2021	27	MLB RAW	Atlanta Braves	—	653	588	146	33	2	27	52	167	5	9	3	248	315	449	764	201	297	26	8	333	109	+7	+1	+7	+7	+14	3.6
2022	28	MLB MLE	Atlanta Braves	—	696	640	177	32	1	25	49	182	3	18	7	277	331	447	778	170	348	26	7	343	118	+15	+1	+19	+7	+15	5.9
2022	28	MLB RAW	Atlanta Braves	—	696	640	177	32	1	25	49	182	3	18	7	277	331	447	778	170	348	26	7	343	118	+15	+1	+19	+7	+15	5.9
2023	29	MLB MLE	Chicago Cubs	—	638	565	138	24	3	23	66	154	5	9	1	244	329	419	748	175	295	24	10	332	111	+8	+1	+18	+7	+14	5.0
2023	29	MLB RAW	Chicago Cubs	—	638	565	138	25	3	22	66	154	5	9	1	244	329	416	745	172	297	24	10	332	111	+8	+1	+18	+7	+14	5.0
2024	30	MLB MLE	Chicago Cubs	—	593	536	129	26	2	17	52	144	2	19	3	241	310	392	702	151	296	24	9	311	97	-2	+3	+16	+6	+13	3.6
2024	30	MLB RAW	Chicago Cubs	—	593	534	129	27	2	16	54	144	2	19	3	242	314	390	703	148	300	24	9	314	97	-2	+3	+16	+6	+13	3.6
2025	31	MLB MLE	Chicago Cubs	—	645	591	144	23	3	25	46	168	2	20	3	244	300	420	720	176	295	26	7	316	100	-0	+3	+5	+7	+14	2.9
2025	31	MLB RAW	Chicago Cubs	—	645	590	144	24	3	24	47	168	2	20	3	244	302	417	719	173	298	26	7	316	100	-0	+3	+5	+7	+14	2.9
2026	32	MLB MLE	Chicago Cubs	—	486	428	92	16	3	20	51	115	2	17	1	215	301	407	708	192	242	24	10	309	95	-3	+3	-0	+5	+11	1.6
2026	32	MLB RAW	Chicago Cubs	—	486	428	91	16	3	19	51	115	2	17	1	213	299	397	697	185	242	24	10	309	95	-3	+3	-0	+5	+11	1.6
2016	22	AA MLE	3 teams	—	615	563	141	28	5	10	40	135	7	16	3	250	308	371	679	121	312	22	7	299	89	—	—	—	—	—	—
2017	23	MLB MLE	2 teams	—	596	537	122	24	2	7	53	131	1	4	3	227	297	318	616	91	291	22	9	279	75	—	—	—	—	—	—
2018	24	MLB MLE	Atlanta Braves	—	533	497	114	25	4	14	29	122	2	10	4	229	277	380	657	151	290	23	5	288	81	—	—	—	—	—	—
2019	25	MLB MLE	Atlanta Braves	—	545	486	121	26	3	17	49	124	5	10	5	249	325	420	744	171	300	23	9	329	109	—	—	—	—	—	—
2020	26	MLB MLE	Atlanta Braves	—	264	236	65	15	0	10	22	71	4	5	0	275	346	466	812	191	350	27	8	358	129	—	—	—	—	—	—
2021	27	MLB MLE	Atlanta Braves	—	653	595	146	33	2	27	48	167	5	9	3	245	309	444	752	198	297	26	7	329	109	—	—	—	—	—	—
2022	28	MLB MLE	Atlanta Braves	—	696	639	177	32	1	25	49	182	3	18	7	277	331	448	778	171	348	26	7	343	118	—	—	—	—	—	—
2023	29	MLB MLE	Chicago Cubs	—	638	562	138	24	3	23	66	154	5	9	1	246	329	422	750	176	297	24	10	332	111	—	—	—	—	—	—
2024	30	MLB MLE	Chicago Cubs	—	593	534	129	26	2	17	52	144	2	19	3	242	310	393	703	152	300	24	9	311	97	—	—	—	—	—	—
2025	31	MLB MLE	Chicago Cubs	—	645	592	144	23	3	25	46	168	2	20	3	243	300	419	719	176	298	26	7	316	100	—	—	—	—	—	—
2026	32	MLB MLE	Chicago Cubs	—	486	430	92	16	3	20	51	115	2	17	1	214	301	405	706	191	242	24	10	309	95	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	30	MLB MLE	Chicago Cubs	—	593	534	129	26	2	17	52	144	2	19	3	242	310	393	703	152	300	24	9	311	97	—	—	—	—	—	—
2025	31	MLB MLE	Chicago Cubs	—	645	592	144	23	3	25	46	168	2	20	3	243	300	419	719	176	298	26	7	316	100	—	—	—	—	—	—
2026	32	MLB MLE	Chicago Cubs	—	486	430	92	16	3	20	51	115	2	17	1	214	301	405	706	191	242	24	10	309	95	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	33	MLB MLE	CHC	100%	507	454	112	19	2	21	46	124	2	17	4	247	318	434	752	188	291	24	9	331	110	+6	+2	+2	+5	+11	2.1
▸ 2027 — real world (MLB)
2027	33	MLB CTX	CHC	100%	430	386	95	16	2	17	39	105	2	14	3	247	319	433	752	186	294	24	9	331	110	+5	+2	+2	+5	+9	2.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	34	MLB MLE	CHC	100%	394	355	84	13	2	15	35	99	1	8	2	237	308	414	721	176	283	25	9	319	102	+1	+1	-3	+4	+9	1.1
2029	35	MLB MLE	CHC	100%	302	272	61	9	1	11	26	79	1	3	1	227	296	390	686	163	274	26	9	304	92	-3	+0	-4	+3	+7	0.3
2028	34	MLB CTX	CHC	100%	394	355	85	14	2	15	35	99	1	8	2	238	308	412	720	174	286	25	9	319	102	+1	+1	-3	+4	+9	1.1
2029	35	MLB CTX	CHC	100%	302	272	62	10	2	10	26	79	1	3	1	227	296	389	685	162	277	26	9	304	92	-3	+0	-4	+3	+7	0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6445	5787	1424	277	28	208	569	1579	32	134	33	246	317	411	728	165	301	24	9	322	101	+33	+14	+77	+75	+140	34.5
/ 162G	—	A+C		—	650	584	144	28	3	21	57	159	3	14	3	247	316	413	729	166	301	24	9	322	101	+3	+1	+8	+8	+14	3.5
Career	—	MLE		—	7390	6681	1630	310	33	239	605	1796	42	162	39	244	311	408	718	164	296	24	8	317	101	+38	+15	+78	+79	+149	36.8
/ 162G	—	MLE		—	650	588	143	27	3	21	53	158	4	14	3	243	310	406	717	163	295	24	8	317	101	+4	+1	+7	+7	+14	3.5

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.

2017 AAAGwinnett Braves · 45 PAwOBA .317 → .280 (−37)K% 20.0% → 24.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷0.989	×1.200	—	—	24.27%
BB% (unintentional) /PA	13.33%	÷0.999	×0.690	—	×1.050	9.67%
HBP% /PA	2.22%	—	×0.940	—	×1.050	2.19%
Singles /BIP	24.14%	÷1.005	×0.930	—	×1.050	23.46%
Doubles /BIP	3.45%	÷0.936	×0.830	—	×1.050	3.21%
Triples /BIP	0.00%	÷1.005	×0.970	—	×1.050	0.00%
Home runs /BIP	3.45%	÷0.972	×0.840	—	×1.050	3.13%

Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 101, 2B 87, 3B 101, K 98, BB 100 — 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).

Result: wOBA .317 → .280; ISO .105 → .095; BABIP .286 → .275. 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 AAMississippi Braves · 377 PAwOBA .326 → .276 (−50)K% 18.8% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.83%	÷1.043	×1.220	—	—	22.03%
BB% (unintentional) /PA	8.75%	÷0.997	×0.680	—	×1.042	6.22%
HBP% /PA	1.86%	—	×0.840	—	×1.042	1.63%
Singles /BIP	23.28%	÷1.014	×0.920	×0.978	×1.042	21.52%
Doubles /BIP	4.96%	÷1.104	×0.910	×0.978	×1.042	4.17%
Triples /BIP	1.91%	÷1.150	×0.880	×0.978	×1.042	1.49%
Home runs /BIP	3.05%	÷1.084	×0.800	—	×1.042	2.35%

Factors used: league row SL. Park (home-season share, regressed): HR 117, 1B 103, 2B 121, 3B 130, K 109, BB 99 — 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 ×0.978.

Result: wOBA .326 → .276; ISO .141 → .113; BABIP .309 → .276. 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 A+Carolina Mudcats · 93 PAwOBA .410 → .345 (−66)K% 14.0% → 19.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.98%	÷1.030	×1.420	—	—	19.27%
BB% (unintentional) /PA	13.98%	÷0.970	×0.630	—	×1.012	9.19%
HBP% /PA	0.00%	—	×0.860	—	×1.012	0.00%
Singles /BIP	20.00%	÷1.018	×0.940	×1.016	×1.012	18.98%
Doubles /BIP	18.46%	÷1.004	×0.830	×1.016	×1.012	15.69%
Triples /BIP	0.00%	÷0.987	×0.800	×1.016	×1.012	0.00%
Home runs /BIP	1.54%	÷1.362	×0.900	—	×1.012	1.03%

Factors used: league row CAR. Park (home-season share, regressed): HR 172, 1B 104, 2B 101, 3B 97, K 106, 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 ×1.016.

Result: wOBA .410 → .345; ISO .192 → .160; BABIP .391 → .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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Crawfordlast yr '24 career totals — 14 seasons, 6,318 PA	9.5	6,318	147	47	249	318	395	+68	+142	38.8	34.0
/162	664	15	5	+7.1	+14.9	4.1	pk7: 29
#2Terry Pendleton'84-'98 * career totals — 15 seasons, 7,637 PA	11.5	7,637	140	127	265*	312*	410*	+22	+125	32.5	30.7
/162	664	12	11	+1.9	+10.9	2.8	pk7: 29
#3Juan Uribelast yr '16 career totals — 16 seasons, 6,715 PA	10.1	6,715	199	48	255	301	418	+33	+116	33.1	29.1
/162	664	20	5	+3.3	+11.4	3.3	pk7: 25
#4Jose Valentin'92-'07 * career totals — 15 seasons, 6,317 PA	9.5	6,317	249	136	233*	309*	433*	+53	+78	31.1	27.3
/162	664	26	14	+5.6	+8.2	3.3	pk7: 24
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 14 projected seasons	10.4	6,875	227	148	247	314	414	+69	+134	31.0	26.1
/162	664	22	14	+6.6	+13.0	3.0	pk7: 21
#5Gene Alley'63-'73 * career totals — 11 seasons, 4,332 PA	6.5	4,332	55	63	254*	314*	386*	+42	+84	22.6	21.9
/162	664	8	10	+6.4	+12.9	3.5	pk7: 21
#6Freddy 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

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
Dansby Swanson (OGILVIE)	33	—	—	—	—	244/315/431	186	291	18	14	24%	9%	110	+1.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕J.T. Realmuto 2024 · MLB	33	50→60	54→60	56→55	45	256/319/443	187	309	20	18	24%	7%	114	+2.3	249/309/400	151	307	17	9	24%	7%	100	+1.3	239/304/371	131	295	14	5	23%	7%	92	+0.6
✕Aaron Boone 2005 · MLB	32	49→57	54→60	55	50	254/315/438	184	270	22	21	16%	7%	111	+2.1	247/309/384	137	276	15	10	17%	6%	97	+1.1	247/312/373	127	278	14	8	16%	6%	96	+0.7
✕Luis Terrero 2013 · AAA	33	52→59	58→60	53→55	46	270/335/475	204	323	26	24	25%	7%	127	+3.3	254/328/413	159	311	20	17	24%	8%	110	+2.1	248/333/397	149	305	20	15	24%	9%	107	+0.8
✕Hiram Bocachica 2007 · MLB	31	48	53→55	54→55	49	247/321/422	174	290	21	21	23%	8%	109	+2.0	235/318/397	162	267	19	19	19%	9%	103	+1.6	203/292/360	156	229	17	21	20%	9%	84	+0.1
✕Tommy Pham 2021 · MLB	33	52→58	52→55	54→55	57	261/350/431	170	305	19	20	21%	11%	122	+2.9	238/326/391	153	294	17	15	24%	11%	104	+1.6	234/321/389	155	289	18	16	24%	11%	103	+1.4
✕Chris Taylor 2024 · MLB	33	49→59	52→60	55	47	240/321/412	172	337	19	17	32%	10%	107	+1.9	219/301/345	126	315	12	14	32%	9%	85	+0.2	198/285/284	86	295	7	11	32%	9%	67	-0.3
✕Ian Desmond 2019 · MLB	33	48→58	49→60	53→55	47	243/306/388	145	294	17	19	24%	8%	96	+1.0	239/299/417	178	290	20	10	24%	8%	101	+1.4	239/294/437	199	286	22	4	25%	7%	105	+1.3
✕Adam Rosales 2017 · MLB	34	46→50	53→55	50→45	47	233/305/413	180	304	21	11	30%	9%	102	+1.5	208/259/353	145	275	17	6	30%	6%	71	-0.8	187/231/306	120	245	15	3	30%	4%	48	-1.4
●Mike Cameron 2007 · MLB	34	51→53	57→60	56→55	53	261/342/472	212	312	22	22	24%	10%	128	+3.4	248/332/451	203	305	22	16	25%	10%	120	+2.8	241/330/445	203	296	24	14	26%	11%	119	+2.7
●Ruben Rivera 2006 · MLB	32	51→58	53→60	53→55	48	259/328/434	175	312	22	17	24%	8%	115	+2.4	245/312/422	177	291	21	15	23%	7%	107	+1.8	278/355/475	197	297	25	21	16%	9%	133	+2.8
✕Justin Ruggiano 2014 · MLB	32	50→60	55→60	48→55	48	258/322/451	193	311	23	20	24%	8%	117	+2.6	240/308/405	165	316	19	13	29%	8%	101	+1.4	227/296/379	152	313	17	10	31%	8%	90	+0.3
✕Terry Shumpert 2001 · MLB	34	50	52→50	54→55	55	253/331/435	182	269	18	14	14%	9%	116	+2.5	249/313/401	152	281	14	17	16%	7%	101	+1.4	254/311/392	138	290	11	20	16%	6%	99	+0.6
✕Agustin Murillo 2015 · AAA	33	54→62	48→45	56→55	51	268/329/410	141	289	16	27	14%	7%	109	+2.0	247/298/358	111	270	11	20	13%	6%	86	+0.3	240/287/326	86	264	8	18	13%	6%	72	-0.4
✕Jace Peterson 2023 · MLB	33	48→57	48→50	56→55	53	237/323/383	145	302	15	18	26%	11%	101	+1.4	217/300/331	114	276	12	17	24%	10%	81	-0.1	203/293/293	90	259	9	21	23%	10%	71	-0.6
●Joe Dillon 2007 · MLB	31	51→52	55	52→45	50	263/337/446	183	291	23	12	19%	8%	122	+2.9	242/314/396	154	267	16	8	16%	8%	101	+1.4	234/311/377	143	257	15	7	15%	9%	96	+0.6
✕Rickie Weeks Jr. 2017 · MLB	34	47→57	53→55	50→55	50	240/324/415	175	297	21	10	26%	9%	109	+2.0	235/321/397	162	339	18	10	33%	10%	104	+1.6	205/311/338	133	377	13	5	43%	11%	88	+0.1
✕Eric Byrnes 2009 · MLB	33	51→56	52→60	58→60	50	259/318/437	178	277	19	28	15%	7%	112	+2.2	227/287/384	157	242	16	17	14%	7%	88	+0.5	220/265/383	163	221	17	18	11%	5%	80	-0.1
✕Jeff Baker 2014 · MLB	33	50→53	54→60	49→45	46	255/312/436	181	308	22	8	25%	7%	109	+2.0	252/310/414	162	318	17	6	25%	7%	103	+1.6	269/311/405	137	341	8	3	23%	5%	101	+0.5
●AJ Pollock 2020 · MLB	32	49→59	57→65	53→55	47	256/317/459	203	285	25	14	20%	7%	117	+2.6	269/320/482	213	300	28	9	20%	6%	124	+3.1	267/316/467	200	296	25	7	19%	6%	120	+1.8
●Hunter Pence 2016 · MLB	33	55→63	55→60	52→50	49	279/331/471	192	314	22	13	19%	7%	124	+3.1	271/326/425	154	322	18	5	21%	7%	112	+2.2	265/319/401	135	319	15	4	21%	7%	104	+1.2

Dansby Swanson

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps