Paxton Kling

CF Hub City Spartanburgers

Age 24 R/R 6'0" / 210 lbs A+ HR +15%BB +5% Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTFG #182MiLBFA 2034

Scout OFP45ETA2029FG ETA2027MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	A+TEX	50	.244/.320/.311	0	1	38	—	.213/.260/.277
2025	22	ATEX	43	.368/.415/.605	1	1	121	—	.308/.341/.513
2026	23	A+TEX	379	.247/.387/.368	7	38	63	—	.196/.299/.291
2026	23	INTLSurprise Sagu…	38	.419/.526/.516	0	7	202	—
2027PROJ0% MLB	24	MLBTEX	2	.204/.287/.315	0	0	71	-0.0
2028PROJ30% MLB	25	MLBTEX	109	.209/.292/.331	2	3	76	-0.0
2029PROJ44% MLB	26	MLBTEX	177	.212/.295/.343	4	5	80	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$0.8M2032Arb-2$1M2033Ext$7M

Skills · percentileMiLB Statcast 2026 A+

Speed76

BB%74

Chase%73

wRC+60

wOBA58

K%41

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 98%

CompsAdam Engel (age 26) · Daz Cameron (age 24) · Lane Adams (age 24)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†71

AVG/OBP/SLG.204 / .287 / .315

PA2

HR0

K%50

BB%8

BABIP286

ISO109

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 45 / POW 52

Toolsscout grade

CONTACT45

scouting grade only

POWER52

scouting grade only

EYE50

scouting grade only

SPEED60

scouting grade only

DEFENSE51

scouting grade only

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2030	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Arb-1	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2032	Arb-2	$1M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$1.0M	+$0.0M

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 = actual YTD + projected ROS + total. 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)
2025	22	A+	Hub City Spartanburgers	—	50	45	11	3	0	0	4	10	1	1	1	244	320	311	631	67	314	20	8	292	38	—	—	—	—	—	—
2025	22	A	Hickory Crawdads	—	43	38	14	4	1	1	3	9	0	1	0	368	415	605	1.020	237	433	21	7	422	121	—	—	—	—	—	—
2026	23	AA	Frisco RoughRiders	—	22	17	3	1	0	0	2	4	2	2	0	176	333	235	569	59	231	18	9	271	47	—	—	—	—	—	—
2026	23	A+	Hub City Spartanburgers	—	379	304	75	14	1	7	55	98	15	38	11	247	387	368	755	122	338	26	15	347	63	—	—	—	—	—	—
2026	23	INTL	Surprise Saguaros	—	38	31	13	1	1	0	7	6	0	7	1	419	526	516	1.042	97	520	16	18	467	202	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A+ MLE	Hub City Spartanburgers	—	50	47	10	3	0	0	2	13	1	1	1	213	260	277	537	64	272	26	4	225	38	—	—	—	—	—	—
2025	22	A MLE	Hickory Crawdads	—	43	39	12	3	1	1	2	12	0	1	0	308	341	513	854	205	369	28	5	347	121	—	—	—	—	—	—
2026	23	AA MLE	Frisco RoughRiders	—	22	18	3	1	0	0	1	5	2	2	0	167	286	222	508	56	212	23	5	237	47	—	—	—	—	—	—
2026	23	A+ MLE	Hub City Spartanburgers	—	379	327	64	11	1	6	33	128	15	38	11	196	299	291	589	95	285	34	9	262	63	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	93	86	21	5	1	1	4	25	1	2	1	244	286	360	646	116	323	27	4	281	77	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	93	83	25	7	1	1	7	19	1	2	1	301	363	446	808	145	369	20	8	353	77	—	—	—	—	—	—
2026	23	A+ MLE	3 teams	—	439	379	73	13	1	7	38	146	17	47	12	193	295	288	583	95	289	33	9	261	63	—	—	—	—	—	—
2026	23	A+ RAW	3 teams	—	439	352	91	16	2	7	64	108	17	47	12	259	396	375	771	116	351	25	15	354	63	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	93	88	21	5	1	1	4	25	1	2	1	239	286	352	638	114	317	27	4	281	77	—	—	—	—	—	—
2026	23	A+ MLE	3 teams	—	439	381	73	13	1	7	38	146	17	47	12	192	295	286	581	94	281	33	9	261	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A+ MLE	2 teams	—	93	88	21	5	1	1	4	25	1	2	1	239	286	352	638	114	317	27	4	281	77	—	—	—	—	—	—
2026	23	A+ MLE	3 teams	—	439	381	73	13	1	7	38	146	17	47	12	192	295	286	581	94	281	33	9	261	63	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	TEX	0%	380	337	69	13	2	7	31	118	9	12	3	203	287	311	598	108	286	31	8	273	71	-13	+1	+0	+1	+8	-0.3
▸ 2027 — real world (MLB)
2027	24	MLB CTX	TEX	0%	2	2	0	0	0	0	0	1	0	0	0	204	287	315	602	111	286	50	0	275	71	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	TEX	30%	360	320	67	13	2	7	29	110	8	10	3	208	291	327	618	119	287	31	8	281	76	-10	+1	+0	+1	+8	0.0
2029	26	MLB MLE	TEX	44%	400	355	75	14	2	9	33	120	9	11	3	211	294	338	631	127	287	30	8	286	80	-10	+1	+0	+1	+9	0.2
2030	27	MLB MLE	TEX	49%	416	370	79	15	2	10	34	124	9	11	3	212	294	339	633	127	287	30	8	287	80	-10	+1	+0	+1	+9	0.2
2031	28	MLB MLE	TEX	52%	422	375	80	15	2	10	35	125	9	10	3	212	293	338	631	126	286	30	8	286	80	-10	+1	-0	+2	+9	0.1
2032	29	MLB MLE	TEX	51%	418	373	79	15	2	9	34	124	8	9	3	211	292	335	626	124	285	30	8	284	78	-11	+1	-1	+1	+9	-0.1
2028	25	MLB CTX	TEX	30%	109	97	20	4	0	2	9	33	2	3	1	209	292	331	623	123	287	30	8	283	76	-3	+0	+0	+0	+2	-0.0
2029	26	MLB CTX	TEX	44%	177	157	33	6	1	4	14	53	4	5	1	212	295	343	638	131	287	30	8	289	80	-4	+1	+0	+1	+4	0.1
2030	27	MLB CTX	TEX	49%	204	181	39	7	1	5	17	61	4	5	1	213	295	344	639	131	287	30	8	289	80	-5	+1	+0	+1	+4	0.1
2031	28	MLB CTX	TEX	52%	217	193	40	7	1	5	18	64	4	5	1	213	294	343	637	130	286	29	8	288	80	-5	+1	-0	+1	+5	0.1
2032	29	MLB CTX	TEX	51%	215	191	40	7	1	5	18	64	4	4	1	212	293	340	632	128	284	30	8	286	78	-6	+0	-1	+1	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	922	819	172	31	4	21	76	275	18	22	5	210	291	335	626	125	286	30	8	287	75	-23	+2	-0	+3	+20	0.2
/ 162G	—	A+C		—	650	577	122	22	3	15	54	194	13	16	4	211	294	338	632	127	288	30	8	287	75	-16	+2	-0	+2	+14	0.2
Career	—	MLE		—	2868	2542	532	101	13	59	233	873	68	110	31	209	293	329	622	120	291	30	8	280	75	-62	+5	-0	+8	+51	0.2
/ 162G	—	MLE		—	650	576	120	23	3	13	53	198	15	25	7	208	292	326	618	118	290	30	8	280	75	-17	+1	-0	+2	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#2John Shelby'81-'91 * career totals — 9 seasons, 3,326 PA	5.0	3,326	70	98	237*	281*	385*	+1	-4	1.7	3.8
/162	664	14	20	+0.1	-0.9	0.3	pk7: 6
#3Luis Matos'00-'06 * career totals — 6 seasons, 1,773 PA	2.7	1,773	30	72	245*	304*	365*	+1	+10	3.2	3.2
/162	664	11	27	+0.3	+3.9	1.2	pk7: 3
#4Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#5Damon Buford'93-'01 * career totals — 8 seasons, 2,072 PA	3.1	2,072	54	56	230*	296*	371*	-1	-2	0.2	0.8
/162	664	17	18	-0.4	-0.5	0.1	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.4	924	21	22	212	290	337	-6	+1	-0.1	-0.1
/162	664	15	16	-4.0	+0.6	-0.1	pk7: 0
#6Joe Simpson'75-'83 * career totals — 5 seasons, 1,531 PA	2.3	1,531	9	45	237*	289*	336*	-9	+2	-2.3	-1.8
/162	664	4	20	-4.0	+1.1	-1.0	pk7: -1

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
Paxton Kling (OGILVIE)	24	32→45	44→52	60	50	201/284/308	107	286	6	10	31%	8%	71	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adam Engel 2018 · MLB	26	39→48	43→50	57→60	40	195/258/316	120	275	10	24	32%	6%	61	-1.5	222/276/348	126	302	12	17	29%	5%	76	-0.4	223/282/358	135	299	13	23	29%	5%	79	-0.1
✕Daz Cameron 2021 · MLB	24	43→48	44→50	52→55	42	207/281/333	126	299	11	16	33%	8%	74	-0.5	216/280/347	131	298	13	20	30%	7%	77	-0.3	227/297/394	166	289	18	26	27%	8%	92	+0.3
✕Lane Adams 2014 · AA	24	44→45	43→50	55→60	41	218/269/330	111	290	11	19	28%	6%	68	-1.0	223/277/338	115	292	11	28	26%	6%	74	-0.6	224/277/350	126	304	14	36	30%	6%	73	-0.5
✕Jeter Downs 2022 · AAA	24	36→41	46→50	53→55	41	190/255/315	125	268	15	19	34%	7%	61	-1.5	185/268/313	128	266	15	22	34%	8%	66	-1.1	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Clay Fuller 2011 · AA	24	42→46	43→45	53→55	44	207/280/319	112	291	11	19	31%	8%	71	-0.8	220/271/337	117	294	13	14	28%	6%	71	-0.8	221/260/336	115	281	15	15	27%	5%	63	-0.7
✕Bradlee Beesley 2022 · AA	24	40	44→50	55→60	37	197/257/316	119	307	11	20	38%	6%	61	-1.5	204/272/327	123	301	11	26	34%	7%	70	-0.9	195/271/326	131	284	11	34	33%	7%	65	-0.6
✕Alerick Soularie 2023 · A	24	40	44→45	53→60	44	195/276/310	114	290	11	16	34%	9%	68	-1.0	200/282/313	113	289	12	26	32%	9%	71	-0.8	182/274/287	105	255	13	39	32%	9%	61	-0.5
✕Tanner O'Tremba 2024 · A	24	43	43→45	54→50	40	205/296/322	116	309	10	13	34%	7%	78	-0.3	193/277/297	104	309	9	14	38%	7%	65	-1.2	132/229/210	78	232	8	17	42%	7%	27	-1.5
✕Luke Williams 2021 · AA	24	42→44	42→45	52→65	44	208/270/316	107	274	9	20	27%	7%	65	-1.2	229/287/323	94	314	7	28	27%	7%	74	-0.6	229/291/325	96	311	8	37	27%	7%	74	-0.3
✕Troy Stokes Jr. 2021 · AAA	25	41→40	46→50	53→55	45	203/286/334	131	286	13	16	32%	8%	77	-0.3	201/278/310	109	271	10	16	28%	8%	68	-1.0	161/249/251	90	216	7	20	27%	8%	42	-1.3
✕Cody Cipriano 2009 · A	24	40→48	45	55→45	46	198/274/328	130	264	11	12	28%	8%	71	-0.8	221/290/331	110	310	8	8	29%	8%	77	-0.3	227/301/333	106	317	7	7	28%	8%	80	-0.1
✕Phillip Ervin 2016 · AA	24	42→51	43→50	53→55	46	206/277/320	114	263	10	20	25%	8%	70	-0.9	220/291/344	124	275	12	25	24%	8%	81	-0.1	240/304/385	144	304	14	21	24%	7%	93	+0.6
●Trayce Thompson 2015 · AAA	24	39→49	47→60	53→50	41	199/262/340	142	279	14	16	33%	7%	69	-0.9	217/271/367	150	280	16	11	27%	7%	78	-0.3	203/291/407	204	286	27	7	37%	10%	95	+0.6
✕Kenedy Corona 2024 · AA	24	41→42	48→50	54→55	41	211/269/351	141	285	16	24	31%	7%	74	-0.5	207/273/312	105	285	10	24	29%	7%	67	-1.1	202/273/295	93	277	8	27	28%	7%	60	-1.1
✕Corey Toups 2017 · AA	24	47→50	44→45	56→50	43	228/290/353	125	303	9	17	27%	7%	82	-0.0	210/272/316	106	316	9	15	34%	7%	67	-1.1	193/260/287	93	304	8	16	37%	7%	53	-1.2
✕Cade Gotta 2016 · A	24	40→50	41→45	53→55	42	196/255/297	101	272	7	15	30%	7%	56	-1.9	230/275/329	99	292	6	27	22%	6%	70	-0.8	240/299/336	96	305	5	36	21%	7%	79	-0.1
✕Kameron Misner 2022 · AA	24	43	43→50	55	42	201/276/319	118	316	10	19	37%	8%	70	-0.9	201/292/340	139	322	14	23	38%	11%	80	-0.1	193/290/335	142	306	15	26	38%	11%	76	-0.4
✕Connor Kokx 2024 · AA	24	44	39→40	54→60	48	209/298/296	87	286	6	23	27%	9%	73	-0.6	216/293/300	84	304	6	22	29%	7%	72	-0.7	199/279/224	26	297	0	37	30%	5%	46	-0.5
✕Barrett Barnes 2015 · A	24	43→53	44→45	51→50	42	212/276/329	116	285	12	14	29%	7%	72	-0.7	229/295/349	120	299	10	12	26%	7%	83	+0.1	232/299/352	120	307	10	12	26%	7%	83	+0.0
✕Nick Podkul 2022 · AA	25	39	44→50	51→50	46	196/271/312	116	260	11	11	28%	8%	66	-1.1	211/300/351	140	290	16	6	31%	9%	86	+0.3	202/300/344	142	280	17	3	32%	10%	81	-0.0

Paxton Kling

Career Stats + Projections

Career Comps

Career Path Comps