Chandler Seagle — OGILVIE

Chandler SeagleC Columbus Clingstones

Age 30 R/R 5'11" / 190 lbs AA BB -5% Svc 0.0 · Ctrl thru 2034

wRC+†27

AVG/OBP/SLG.171 / .223 / .258

PA192

HR3

K%40

BB%5

MLB%2%

Scouting · now → future

HIT

20→20

PWR

29→29

SPD

43→43

EYE

32→32

trajectory · 10 yrs

-0.4peak

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	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$-7M		$-7M	+$0.0M

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
2017	21	A	Fort Wayne TinCaps	28	27	3	1	0	0	0	16	0	0	0	.111	.111	.148	.259	.037	.250	57	0	.105	-61	-5	+0	+0	+0	+1	-0.4
2018	22	A	Fort Wayne TinCaps	27	25	1	0	0	0	1	15	1	0	0	.040	.111	.040	.151	.000	.100	56	4	.082	-79	-5	+0	+0	+0	+1	-0.4
2019	23	ROK	2 teams	132	121	19	7	0	1	7	48	2	1	0	.157	.215	.240	.455	.083	.243	36	5	.200	11	-13	+0	+0	+2	+4	-0.7
2021	25	AA	2 teams	213	190	31	9	0	1	6	72	9	0	1	.163	.224	.226	.451	.063	.252	34	3	.202	13	-21	-0	+0	+4	+6	-1.2
2022	26	AA	San Antonio Missions	275	245	47	10	0	3	18	94	3	2	1	.192	.256	.269	.525	.078	.295	34	7	.226	31	-21	+0	+0	+5	+8	-0.9
2023	27	AA	2 teams	251	233	38	6	1	2	10	103	4	4	3	.163	.211	.223	.434	.060	.277	41	4	.195	8	-26	-0	+0	+4	+7	-1.5
2024	28	AAA	El Paso Chihuahuas	107	102	13	5	0	1	3	54	0	0	1	.127	.152	.206	.358	.078	.255	50	3	.146	-30	-16	-0	+0	+2	+3	-1.1
2025	29	AA	2 teams	176	166	22	7	0	0	4	74	5	1	1	.133	.177	.175	.352	.042	.237	42	2	.160	-19	-24	-0	+0	+3	+5	-1.6
▸ 2026 Season
2026	30	MLB	ATL	192	178	32	7	1	3	10	77	2	3	1	.180	.232	.281	.512	.101	.279	40	5	.221	27	-16	+0	+0	+3	+5	-0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	31	MLB 9%	ATL	174	161	29	6	1	3	9	67	2	1	1	.180	.233	.286	.518	.106	.279	39	5	.227	32	-13	-0	-3	+3	+5	-0.8
2028	32	MLB 19%	ATL	163	151	27	6	1	2	9	62	2	1	0	.179	.235	.272	.506	.093	.279	38	6	.230	34	-12	+0	-4	+3	+5	-0.8
2029	33	MLB 29%	ATL	138	127	22	5	0	2	8	52	2	0	0	.173	.234	.260	.493	.087	.277	38	6	.228	33	-10	+0	-4	+2	+4	-0.8
2030	34	MLB 40%	ATL	103	95	15	3	0	1	6	39	1	0	0	.158	.216	.221	.437	.063	.275	38	6	.224	30	-8	+0	-5	+2	+3	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			1979	1821	299	72	4	19	91	773	33	13	9	.164	.217	.239	.457	.075	.268	39	5	.204	14	-192	-1	-15	+35	+56	-11.9
/ 162G	—			650	598	98	24	1	6	30	254	11	4	3	.164	.218	.237	.455	.074	.268	39	5	.204	14	-63	-0	-5	+12	+18	-3.9

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
2017	21	A	Fort Wayne TinCaps	28	27	4	1	0	0	0	12	0	0	0	.148	.148	.185	.333	.037	.250	43	0	.143	-32	-4	+0	—	—	+1	-0.3
2018	22	A	Fort Wayne TinCaps	27	24	1	0	0	0	2	12	1	0	0	.042	.148	.042	.190	.000	.083	44	7	.112	-56	-5	+0	—	—	+1	-0.4
2019	23	A	Fort Wayne TinCaps	23	22	5	2	0	0	0	5	0	0	0	.227	.227	.318	.545	.091	.278	22	0	.230	34	-2	+0	—	—	+1	-0.1
2019	23	ROK	AZL Padres 1	109	94	21	9	0	1	12	29	2	1	0	.223	.324	.351	.675	.128	.308	27	11	.307	93	-1	+0	—	—	+3	0.2
2021	25	AA	San Antonio Missions	181	158	30	9	0	1	7	45	8	0	1	.190	.260	.266	.526	.076	.254	25	4	.235	38	-13	-0	—	—	+5	-0.8
2021	25	INTL	Peoria Javelinas	32	30	7	2	0	1	1	8	1	0	0	.233	.281	.400	.681	.167	.286	25	3	.303	90	-0	+0	—	—	+1	0.1
2022	26	AA	San Antonio Missions	275	239	50	12	0	3	24	73	3	2	1	.209	.289	.297	.587	.088	.287	27	9	.263	59	-13	+0	—	—	+8	-0.5
2023	27	AAA	El Paso Chihuahuas	64	60	14	2	0	2	3	24	0	1	1	.233	.270	.367	.637	.133	.353	38	5	.279	72	-2	-0	—	—	+2	-0.0
2023	27	AA	San Antonio Missions	187	170	34	7	1	1	10	55	4	3	2	.200	.261	.271	.531	.071	.284	29	5	.242	43	-12	-0	—	—	+5	-0.7
2024	28	AAA	El Paso Chihuahuas	107	100	18	7	0	1	5	40	0	0	1	.180	.219	.280	.499	.100	.288	37	5	.221	27	-9	-0	—	—	+3	-0.6
2025	29	AAA	Gwinnett Stripers	54	52	11	3	0	0	1	16	1	0	0	.212	.241	.269	.510	.058	.306	30	2	.232	36	-4	+0	—	—	+2	-0.2
2025	29	AA	Columbus Clingstones	122	111	16	6	0	0	6	42	4	1	1	.144	.215	.198	.413	.054	.229	34	5	.196	8	-13	-0	—	—	+3	-1.0

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
Chandler Seagle (OGILVIE)	30	20	29	43	32	.171/.223/.258	.087	.279	3	3	40%	5%	27	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Eddy Rodriguez 2016 · AAA	30	35→30	42→50	45→30	31	.181/.214/.278	.097	.268	10	4	36%	3%	27	-3.3	.176/.214/.269	.093	.320	10	5	46%	4%	25	-3.5	.144/.181/.222	.078	.291	10	1	52%	4%	-4	-2.0
✕Dane Sardinha 2009 · MLB	30	34→32	42→45	49→30	36	.180/.219/.277	.098	.240	11	4	30%	4%	30	-3.1	.181/.228/.286	.105	.253	12	4	32%	5%	36	-2.7	.155/.214/.240	.085	.222	10	0	34%	6%	15	-1.4
✕Ali Solis 2018 · AAA	30	37	40→45	45→30	35	.188/.223/.275	.087	.262	8	5	31%	4%	30	-3.1	.204/.240/.332	.128	.284	15	6	33%	4%	53	-1.5	.196/.230/.353	.157	.249	23	3	32%	4%	51	-1.0
✕Ryan Budde 2011 · AAA	31	39	40→45	46→40	40	.192/.248/.279	.087	.282	8	6	33%	6%	43	-2.2	.190/.254/.277	.087	.296	8	7	36%	7%	45	-2.1	.161/.232/.232	.070	.255	7	4	37%	8%	23	-1.4
✕Joe Hudson 2022 · MLB	31	36	44→45	47→40	39	.188/.240/.299	.111	.269	13	5	35%	6%	44	-2.1	.203/.283/.350	.147	.288	19	8	34%	9%	77	+0.1	.183/.287/.336	.152	.261	22	8	36%	11%	73	-0.0
✕Joseph Odom 2022 · MLB	30	42	42→45	45→30	36	.202/.258/.302	.100	.324	10	5	39%	6%	53	-1.5	.202/.267/.335	.133	.380	14	8	47%	7%	66	-0.6	.164/.236/.303	.138	.328	15	4	51%	8%	42	-0.9
✕Carlos Eduardo Gonzalez 2015 · AAA	30	43	39→30	42→50	38	.207/.252/.293	.086	.284	6	9	29%	5%	47	-1.9	.219/.276/.333	.114	.277	11	10	24%	6%	69	-0.4	.212/.264/.308	.096	.264	8	6	22%	6%	52	-0.5
✕Jeff Arnold 2018 · AAA	30	37	44→50	42→40	37	.183/.248/.296	.114	.298	11	4	40%	7%	48	-1.9	.180/.244/.281	.101	.329	10	5	45%	7%	42	-2.3	.132/.201/.198	.066	.266	7	0	50%	8%	0	-2.0
✕Gift Ngoepe 2019 · MLB	29	39→42	42→45	45→50	38	.187/.253/.295	.107	.312	10	7	41%	8%	49	-1.8	.193/.261/.311	.118	.350	12	10	44%	8%	57	-1.2	.150/.222/.265	.115	.287	14	8	50%	8%	27	-1.0
✕Rosario Irazoqui 2016 · AAA	30	43	38→30	43→45	38	.210/.250/.279	.069	.274	7	7	26%	4%	42	-2.3	.217/.263/.307	.090	.283	9	8	26%	4%	56	-1.3	.209/.256/.282	.072	.277	7	0	26%	4%	42	-0.6
✕Chris Rabago 2022 · AAA	29	40	40	47→55	44	.195/.262/.284	.089	.273	9	13	30%	8%	50	-1.7	.197/.263/.291	.094	.306	9	10	36%	7%	53	-1.5	.156/.228/.224	.068	.265	5	5	40%	6%	17	-1.2
✕Roberto Baldoquin 2022 · AA	28	41	39→30	47→45	38	.200/.251/.285	.084	.287	7	8	31%	5%	45	-2.1	.218/.292/.290	.072	.281	5	7	22%	7%	65	-0.7	.204/.288/.235	.031	.267	0	2	21%	7%	45	-0.8
✕Sharif Othman 2018 · AA	29	39	40	44→30	36	.194/.234/.283	.089	.271	9	4	31%	4%	37	-2.7	.192/.244/.288	.096	.297	10	6	37%	5%	43	-2.2	.155/.213/.226	.070	.265	7	0	42%	6%	11	-1.6
✕Pat Cantwell 2018 · AAA	28	40	37→30	44→40	38	.194/.249/.261	.067	.271	5	8	29%	5%	38	-2.6	.228/.298/.336	.108	.319	10	10	30%	7%	79	+0.3	.258/.346/.397	.139	.332	15	6	25%	8%	112	+0.7
✕Drew Longley 2017 · AA	28	35	43→40	45→40	32	.172/.227/.275	.103	.313	11	4	46%	6%	33	-2.9	.184/.241/.287	.103	.318	9	5	42%	6%	42	-2.3	.154/.211/.242	.088	.269	4	0	42%	6%	14	-1.7
✕Anderson De La Rosa 2014 · AAA	29	42	41→40	47→40	36	.210/.244/.310	.100	.281	9	5	28%	4%	48	-1.9	.204/.240/.304	.100	.277	8	6	28%	4%	45	-2.1	.177/.202/.266	.089	.242	6	0	29%	2%	16	-1.3
✕Dayton Buller 2012 · AA	31	41	38→45	43→40	37	.193/.249/.278	.084	.308	5	4	37%	6%	42	-2.3	.207/.263/.310	.103	.317	9	6	35%	7%	56	-1.3	.198/.249/.323	.125	.296	12	0	36%	6%	50	-0.3
✕Gary Patchett 2009 · AAA	30	44	36→30	42→30	41	.211/.265/.269	.058	.288	5	5	27%	6%	46	-2.0	.212/.259/.282	.070	.283	6	4	26%	5%	47	-1.9	.206/.252/.260	.054	.273	4	0	25%	4%	37	-1.2
✕Jose Gonzalez 2015 · AAA	28	40	38→30	44→40	39	.194/.251/.271	.077	.288	6	6	33%	6%	41	-2.3	.190/.254/.273	.083	.300	7	7	36%	7%	43	-2.2	.123/.197/.165	.042	.204	4	0	39%	7%	-11	-1.2
✕Brian Esposito 2009 · AAA	30	38	40	43→40	37	.190/.221/.268	.078	.236	9	6	24%	3%	27	-3.3	.198/.227/.280	.082	.246	8	4	23%	3%	33	-2.9	.169/.192/.219	.050	.226	3	1	26%	2%	-2	-1.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)