Kevin Kilpatrick Jr.

Kevin Kilpatrick Jr.OF Columbus Clingstones

Age 25 R/R 5'10" / 186 lbs AA BB -5% Svc 0.0 · Ctrl thru 2034

wRC+†39

AVG/OBP/SLG.187 / .248 / .263

PA318

HR3

SB19

K%33

BB%6

MLB%2%

Scouting · now → future

HIT

35→35

PWR

25→25

SPD

60→60

EYE

41↘40

trajectory · 10 yrs

-0.9peak

2028

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		$-13M		$-38M	-$24M

Underwater contract
Projected production over the remaining contract is worth -$24M 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 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	21	A	2 teams	125	116	29	7	1	1	7	38	2	10	1	.250	.304	.353	.657	.103	.364	30	6	.282	74	-4	+2	+0	-1	+4	0.1
2023	22	A+	Rome Braves	551	498	87	16	5	4	39	186	9	32	5	.175	.247	.251	.498	.076	.266	34	7	.223	29	-44	+4	+0	-3	+16	-2.8
2024	23	A+	Rome Emperors	542	502	97	15	5	5	28	188	8	50	9	.193	.247	.273	.520	.080	.294	35	5	.231	35	-40	+6	+0	-3	+15	-2.2
2025	24	AA	Columbus Clingstones	353	324	59	7	2	1	20	109	6	22	9	.182	.243	.225	.468	.043	.267	31	6	.211	20	-32	+1	+0	-2	+10	-2.4
▸ 2026 Season (actual · ROS · total)
2026	25	AA	Columbus Clingstones	54	50	10	2	0	1	3	17	0	6	3	.200	.245	.300	.545	.100	.273	31	6	.238	40	-4	+0	+0	-0	+2	-0.2
ROS	25	MLB	ATL	264	243	47	8	2	3	16	86	3	13	4	.193	.252	.280	.532	.086	.278	33	6	.236	39	-18	+1	+0	-2	+7	-1.2
TOT	25	MLB	ATL	318	293	57	10	2	4	19	103	3	19	7	.195	.251	.283	.534	.089	.282	32	6	.237	39	-22	+1	+0	-2	+9	-1.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	26	MLB 11%	ATL	347	316	63	10	2	5	24	98	4	17	5	.199	.265	.291	.556	.092	.270	28	7	.254	53	-19	+1	+0	-2	+10	-1.0
2028	27	MLB 26%	ATL	376	342	70	12	2	6	27	105	4	17	5	.205	.271	.304	.575	.099	.272	28	7	.259	57	-18	+1	+0	-2	+11	-0.9
2029	28	MLB 38%	ATL	393	357	72	12	2	6	29	110	4	17	5	.202	.269	.297	.566	.095	.273	28	7	.262	58	-18	+1	-1	-2	+11	-0.9
2030	29	MLB 47%	ATL	395	359	72	12	2	6	29	111	4	15	5	.201	.268	.295	.563	.095	.272	28	7	.261	58	-19	+1	-1	-2	+11	-1.1
2031	30	MLB 56%	ATL	395	359	72	12	2	6	29	112	4	14	4	.201	.268	.295	.563	.095	.271	28	7	.258	56	-20	+1	-2	-2	+11	-1.2
2032	31	MLB 66%	ATL	385	349	70	12	2	6	29	111	4	12	3	.201	.270	.298	.568	.097	.269	29	8	.254	53	-21	+1	-3	-2	+11	-1.4
2033	32	MLB 76%	ATL	368	334	65	11	2	5	27	108	4	10	3	.195	.263	.284	.547	.090	.268	29	7	.250	49	-21	+1	-4	-2	+10	-1.6
2034	33	MLB 83%	ATL	340	309	59	10	2	4	25	102	3	8	2	.191	.258	.275	.533	.084	.266	30	7	.244	45	-21	+1	-4	-2	+10	-1.7
2035	34	MLB 90%	ATL	297	270	50	8	2	3	22	92	3	6	1	.185	.254	.263	.517	.078	.265	31	7	.238	41	-20	+1	-5	-2	+8	-1.8
▸ Career Totals (MLE all levels + projections)
Career	—			5131	4678	912	152	33	61	351	1556	62	243	61	.195	.260	.281	.541	.086	.275	30	7	.245	46	-315	+24	-20	-31	+145	-19.9
/ 162G	—			650	593	115	19	4	8	44	197	8	31	8	.194	.259	.280	.539	.086	.273	30	7	.245	46	-40	+3	-2	-4	+18	-2.5

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
2022	21	A	Augusta GreenJackets	96	87	25	7	1	1	7	21	2	7	1	.287	.354	.425	.779	.138	.369	22	7	.349	125	+3	+1	—	—	+3	0.7
2022	21	ROK	FCL Braves	29	25	8	2	0	0	4	7	0	3	0	.320	.414	.400	.814	.080	.444	24	14	.372	143	+1	+1	—	—	+1	0.3
2023	22	A+	Rome Braves	551	469	106	21	7	5	68	140	9	32	5	.226	.335	.333	.668	.107	.308	25	12	.306	93	-5	+4	—	—	+16	1.6
2024	23	A+	Rome Emperors	542	479	114	20	5	5	51	140	8	50	9	.238	.322	.332	.654	.094	.322	26	9	.298	86	-8	+6	—	—	+15	1.4
2025	24	AA	Columbus Clingstones	353	313	67	7	2	1	31	85	6	22	9	.214	.297	.259	.556	.045	.287	24	9	.260	57	-17	+1	—	—	+10	-0.6

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
Kevin Kilpatrick Jr. (OGILVIE)	25	35	25	60	40	.187/.248/.263	.076	.278	3	14	33%	6%	39	-1.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Delvin Zinn 2022 · AA	25	41→44	37→30	56→55	40	.198/.246/.263	.066	.269	5	30	28%	5%	37	-2.6	.186/.250/.259	.073	.267	5	28	30%	7%	39	-2.5	.114/.203/.150	.036	.179	0	39	33%	8%	-8	-1.3
✕Aaron Whitefield 2022 · AA	25	42→45	38→40	56→60	37	.197/.249/.275	.078	.308	6	29	36%	6%	41	-2.3	.212/.269/.327	.115	.325	11	31	36%	7%	64	-0.8	.197/.256/.327	.130	.308	13	40	38%	7%	56	-0.5
✕Tanner Kirwer 2021 · A	25	46	38→40	56→60	42	.213/.280/.290	.076	.310	5	19	31%	7%	59	-1.1	.208/.289/.312	.104	.300	12	33	32%	9%	69	-0.4	.193/.277/.285	.093	.278	12	41	32%	9%	55	-0.7
✕D.J. Burt 2021 · AA	25	44→51	38→40	55→65	43	.212/.267/.292	.080	.295	6	26	29%	7%	53	-1.5	.227/.293/.311	.084	.316	6	36	27%	8%	69	-0.4	.235/.305/.310	.075	.321	5	49	26%	9%	71	-0.2
✕Chris Roller 2022 · AA	25	41	40→45	53→55	40	.196/.256/.291	.095	.278	6	15	30%	6%	50	-1.8	.190/.266/.302	.112	.286	11	16	35%	8%	57	-1.2	.176/.260/.302	.126	.275	14	16	39%	9%	53	-0.9
✕Daniel Hinojosa 2009 · AAA	25	44	38→40	57→55	38	.208/.263/.282	.074	.311	6	26	34%	6%	49	-1.8	.232/.275/.320	.088	.308	5	20	25%	5%	63	-0.8	.249/.289/.333	.084	.321	4	20	23%	4%	69	-0.2
✕Josh Prince 2013 · AA	25	45→46	38→40	54→60	45	.216/.272/.299	.082	.280	5	30	24%	7%	57	-1.2	.207/.277/.299	.092	.274	8	28	26%	8%	60	-1.0	.216/.291/.302	.086	.289	8	28	26%	9%	64	-0.4
✕Casio Grider 2013 · A	25	41	38→40	56→55	38	.197/.252/.285	.088	.286	4	18	31%	5%	46	-2.0	.201/.259/.287	.086	.304	5	23	33%	6%	49	-1.8	.192/.249/.272	.080	.297	6	30	35%	5%	38	-1.3
✕Kenny Wilson 2015 · AAA	25	46→50	38→40	56→60	40	.217/.275/.298	.080	.301	5	28	28%	6%	58	-1.2	.223/.280/.312	.089	.308	6	26	28%	6%	64	-0.8	.199/.267/.293	.094	.305	8	22	35%	7%	52	-0.6
✕Niko Decolati 2023 · AA	25	45→47	40→45	54→55	42	.213/.279/.305	.092	.310	8	20	32%	7%	63	-0.9	.209/.302/.294	.085	.316	6	16	32%	9%	71	-0.3	.201/.316/.276	.075	.308	5	18	32%	11%	71	-0.1
✕Alfredo Reyes 2019 · AA	25	44	36→30	57→55	38	.204/.257/.268	.064	.325	5	27	37%	6%	43	-2.2	.203/.270/.277	.074	.344	5	20	39%	8%	51	-1.7	.140/.218/.190	.049	.259	3	17	43%	8%	5	-1.5
✕Simon Whiteman 2023 · AA	26	40→44	37→30	58→55	42	.182/.263/.250	.067	.302	4	26	38%	9%	42	-2.3	.195/.265/.272	.077	.291	6	20	32%	8%	48	-1.9	.190/.256/.259	.069	.262	5	20	28%	8%	38	-1.0
✕Wes Rogers 2019 · AA	25	45→51	39→40	59→65	42	.217/.269/.305	.088	.291	6	33	27%	6%	57	-1.2	.198/.256/.280	.082	.303	6	18	34%	7%	46	-2.0	.164/.230/.230	.066	.276	3	12	39%	7%	20	-1.8
✕Ray-Patrick Didder 2021 · AA	26	40→46	39→45	55→60	40	.184/.267/.265	.081	.302	6	24	38%	8%	49	-1.8	.202/.278/.309	.107	.292	10	23	32%	7%	64	-0.8	.195/.280/.308	.112	.279	12	28	32%	8%	62	-0.6
✕Stephen Wrenn 2019 · AA	24	41→43	40→45	56→60	39	.202/.253/.294	.093	.287	8	23	32%	6%	48	-1.9	.200/.260/.309	.109	.299	9	24	34%	6%	56	-1.3	.188/.254/.304	.116	.289	10	27	36%	6%	50	-1.1
✕Champ Stuart 2018 · AA	25	38→39	38→30	59→60	35	.176/.240/.250	.074	.321	6	30	44%	7%	32	-3.0	.190/.261/.289	.099	.325	10	27	41%	8%	51	-1.7	.105/.207/.202	.096	.168	15	37	45%	11%	5	-1.1
✕Chad Christensen 2016 · A	25	45→47	38→40	53→55	39	.211/.262/.293	.082	.304	5	16	31%	6%	52	-1.6	.206/.258/.288	.082	.316	6	15	35%	6%	49	-1.8	.157/.208/.222	.065	.244	8	18	38%	5%	7	-1.0
✕Francisco Martinez 2015 · AA	24	44→49	36→40	54→55	39	.210/.251/.271	.061	.291	3	22	28%	5%	40	-2.4	.219/.247/.315	.096	.299	8	16	28%	4%	50	-1.7	.222/.243/.331	.109	.299	9	15	29%	2%	49	-1.6
✕Michael O'Neill 2017 · AA	25	41→40	40→45	50→55	36	.201/.247/.291	.090	.288	8	17	32%	5%	45	-2.1	.208/.257/.314	.106	.307	10	20	34%	5%	56	-1.3	.205/.256/.307	.102	.305	11	23	35%	5%	50	-1.3
✕Ryan Strausborger 2013 · AA	25	45	41→45	60→55	39	.217/.265/.322	.105	.285	6	21	26%	5%	60	-1.0	.215/.257/.319	.104	.276	8	24	24%	5%	56	-1.3	.204/.256/.297	.093	.271	9	28	27%	5%	48	-0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)