Caleb Bonemer

3B Birmingham Barons

Age 21 R/R 6'1" / 195 lbs AA HR +4% Svc 0.0 · Ctrl thru 2033

Overview

AAPROSPECTMiLBFA 2034

OGV OFP60OGV rank#8ETA2028MLB%12%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	A+/ACWS	476	.281/.408/.473	12	29	98	—	.230/.329/.392
2026	20	AA/A+/INTL2 orgs	650	.254/.381/.558	40	17	108	—	.205/.305/.449
2027PROJ12% MLB	21	MLBCWS	25	.228/.320/.455	1	1	115	0.1
2028PROJ60% MLB	22	MLBCWS	309	.233/.325/.465	15	7	119	1.5
2029PROJ76% MLB	23	MLBCWS	420	.237/.328/.471	21	9	121	2.2

Next 3 projected WAR 3.9Projected 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$7M2032Arb-2$12M2033Arb-3$17M

Skills · percentileMiLB Statcast 2026 AA

ISO94

wRC+90

wOBA88

BB%85

Z-Con%82

Chase%75

Career WAR7.8 WAR median (P10 -1.0 / P90 30, comp-based) · star 10% · didn't stick 43%

CompsAndy Pages (age 21) · Francisco Alvarez (age 21) · Javier Báez (age 21)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†115

AVG/OBP/SLG.228 / .320 / .455

PA25

HR1

K%28

BB%8

BABIP281

ISO182

MLB%12%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$74M ctrl surplus

Contract

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	+1.5	$11M	+$10M
2029	Pre-Arb	$0.8M	+2.2	$15M	+$14M
2030	Pre-Arb	$0.8M	+2.6	$17M	+$16M
2031	Arb-1	$7M	+2.6	$16M	+$11M
2032	Arb-2	$12M	+2.6	$15M	+$7M
2033	Arb-3	$17M	+2.5	$13M	+$3M
Totals		$39M		$86M	+$63M

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)
2025	19	A+	Winston-Salem Dash	—	44	36	10	4	1	2	7	10	1	2	0	278	409	611	1.020	333	333	23	16	437	120	—	—	—	—	—	—
2025	19	A	Kannapolis Cannon Ballers	—	432	349	98	26	3	10	68	91	7	27	8	281	408	458	866	178	344	21	16	382	96	—	—	—	—	—	—
2026	20	AA	Birmingham Barons	—	317	264	69	14	2	19	46	80	5	7	2	261	381	545	926	284	299	25	15	402	108	—	—	—	—	—	—
2026	20	A+	Winston-Salem Dash	—	278	223	53	15	1	18	38	81	15	10	3	238	384	556	940	318	278	29	14	407	94	—	—	—	—	—	—
2026	20	INTL	Glendale Desert Dogs	—	55	49	14	4	2	3	6	12	0	0	0	286	364	633	996	347	324	22	11	424	173	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A+ MLE	Winston-Salem Dash	—	44	38	9	3	1	2	5	14	1	2	0	237	341	526	867	289	293	32	11	346	120	—	—	—	—	—	—
2025	19	A MLE	Kannapolis Cannon Ballers	—	432	370	85	21	2	10	47	123	7	27	8	230	328	378	706	149	296	28	11	310	96	—	—	—	—	—	—
2026	20	AA MLE	Birmingham Barons	—	317	279	62	13	2	16	31	98	5	7	2	222	311	455	766	233	269	31	10	328	108	—	—	—	—	—	—
2026	20	A+ MLE	Winston-Salem Dash	—	278	238	44	11	1	16	23	106	15	10	3	185	297	441	738	256	222	38	8	307	94	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	476	408	94	24	3	12	52	136	8	29	8	230	329	392	721	162	306	29	11	313	98	—	—	—	—	—	—
2025	19	A RAW	2 teams	—	476	385	108	30	4	12	75	101	8	29	8	281	408	473	881	192	343	21	16	387	98	—	—	—	—	—	—
2026	20	AA MLE	3 teams	—	650	566	114	26	3	34	60	223	20	17	5	201	300	438	738	237	256	34	9	318	101	—	—	—	—	—	—
2026	20	AA RAW	3 teams	—	650	536	136	33	5	40	90	173	20	17	5	254	381	558	939	304	294	27	14	406	101	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	476	413	94	24	3	12	52	136	8	29	8	228	329	387	716	160	296	29	11	313	98	—	—	—	—	—	—
2026	20	AA MLE	3 teams	—	650	565	114	26	3	34	60	223	20	17	5	202	300	439	739	237	247	34	9	318	101	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	A MLE	2 teams	—	476	413	94	24	3	12	52	136	8	29	8	228	329	387	716	160	296	29	11	313	98	—	—	—	—	—	—
2026	20	AA MLE	3 teams	—	650	565	114	26	3	34	60	223	20	17	5	202	300	439	739	237	247	34	9	318	101	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	CWS	12%	648	567	128	29	3	30	61	191	15	14	4	226	319	450	769	224	280	29	9	338	115	+11	+1	-1	+2	+14	1.2
▸ 2027 — real world (MLB)
2027	21	MLB CTX	CWS	12%	25	22	5	1	0	1	2	7	1	1	0	228	320	455	775	227	281	28	8	340	115	+0	+0	-0	+0	+1	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	CWS	60%	517	450	105	23	3	25	50	148	12	11	3	231	324	460	784	229	281	29	10	344	119	+12	+1	-1	+2	+11	2.5
2029	23	MLB MLE	CWS	76%	552	482	114	25	3	27	53	153	12	12	3	235	327	466	793	231	282	28	10	348	121	+14	+1	-0	+2	+12	2.9
2030	24	MLB MLE	CWS	80%	578	504	120	26	3	28	56	158	13	12	3	238	329	469	798	231	283	27	10	350	123	+16	+1	+0	+2	+13	3.2
2031	25	MLB MLE	CWS	81%	585	511	121	26	3	28	57	158	12	11	3	239	329	468	798	230	284	27	10	350	123	+16	+1	+0	+2	+13	3.2
2032	26	MLB MLE	CWS	82%	590	516	123	26	3	28	57	158	12	11	3	239	329	465	794	226	284	27	10	348	122	+15	+1	+0	+2	+13	3.2
2033	27	MLB MLE	CWS	80%	590	516	123	26	3	28	57	159	12	11	3	238	328	462	790	225	284	27	10	347	121	+15	+1	+0	+2	+13	3.1
2034	28	MLB MLE	CWS	80%	582	509	120	26	3	27	56	158	12	9	3	236	326	458	784	222	283	27	10	344	119	+13	+1	-1	+2	+13	2.9
2035	29	MLB MLE	CWS	77%	565	495	116	25	3	26	54	155	11	8	3	234	323	452	775	218	282	27	10	341	117	+11	+0	-1	+2	+12	2.5
2036	30	MLB MLE	CWS	76%	552	483	112	24	3	25	53	153	11	6	3	231	320	444	764	213	280	28	10	337	114	+9	+0	-2	+2	+12	2.2
2037	31	MLB MLE	CWS	76%	534	468	106	23	2	23	51	150	10	4	3	227	315	435	750	208	277	28	10	331	110	+6	-0	-3	+2	+12	1.7
2038	32	MLB MLE	CWS	75%	511	449	100	21	2	22	48	146	9	3	12	222	309	422	731	200	273	29	9	323	105	+3	-4	-3	+2	+11	0.8
2039	33	MLB MLE	CWS	75%	475	420	90	19	2	19	44	138	8	3	16	215	302	405	707	191	267	29	9	314	99	-1	-6	-4	+2	+10	0.1
2040	34	MLB MLE	CWS	71%	419	371	77	15	2	16	38	125	7	2	46	206	292	386	678	179	260	30	9	302	91	-5	-18	-5	+1	+9	-1.7
2028	22	MLB CTX	CWS	60%	309	269	63	14	2	15	30	88	7	7	2	233	325	465	790	232	282	28	10	346	119	+7	+1	-0	+1	+7	1.5
2029	23	MLB CTX	CWS	76%	420	367	87	19	2	21	41	117	9	9	2	237	328	471	799	235	283	28	10	350	121	+11	+1	-0	+1	+9	2.2
2030	24	MLB CTX	CWS	80%	460	402	96	21	2	23	45	126	10	9	2	239	330	474	804	235	285	27	10	352	123	+12	+1	+0	+2	+10	2.6
2031	25	MLB CTX	CWS	81%	474	415	99	21	3	23	46	128	10	9	2	240	331	473	804	233	285	27	10	352	123	+13	+1	+0	+2	+10	2.6
2032	26	MLB CTX	CWS	82%	482	422	102	22	3	23	47	129	10	9	2	240	330	470	800	230	285	27	10	351	122	+13	+1	+0	+2	+10	2.6
2033	27	MLB CTX	CWS	80%	473	414	99	21	2	23	46	127	10	8	2	239	329	467	797	228	285	27	10	349	121	+12	+1	+0	+2	+10	2.5
2034	28	MLB CTX	CWS	80%	463	406	96	21	2	22	45	126	9	7	2	237	327	463	790	225	284	27	10	347	119	+11	+1	-0	+2	+10	2.3
2035	29	MLB CTX	CWS	77%	438	384	89	19	2	20	42	120	9	6	2	235	325	456	781	221	283	27	10	343	117	+9	+0	-1	+2	+9	2.0
2036	30	MLB CTX	CWS	76%	421	370	86	19	2	19	40	117	8	5	2	232	321	449	770	217	281	28	10	339	114	+7	+0	-2	+2	+9	1.7
2037	31	MLB CTX	CWS	76%	404	355	82	18	2	18	38	114	8	3	2	228	317	439	756	211	278	28	9	333	110	+5	-0	-2	+1	+9	1.3
2038	32	MLB CTX	CWS	75%	385	339	75	16	2	16	36	110	7	2	9	223	311	426	736	203	274	29	9	325	105	+2	-3	-3	+1	+8	0.6
2039	33	MLB CTX	CWS	75%	357	315	68	14	1	15	33	104	6	3	12	216	303	409	712	193	268	29	9	316	99	-1	-4	-3	+1	+8	0.1
2040	34	MLB CTX	CWS	71%	296	262	54	11	1	11	27	88	5	1	32	208	293	389	683	182	261	30	9	304	91	-3	-13	-3	+1	+6	-1.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	5382	4720	1096	236	26	249	516	1494	108	78	73	232	322	451	773	219	282	28	10	341	113	+97	-14	-15	+19	+117	20.9
/ 162G	—	A+C		—	650	570	133	29	3	30	62	180	13	9	9	233	322	453	775	219	284	28	10	341	113	+12	-2	-2	+2	+14	2.5
Career	—	MLE		—	8386	7331	1676	364	42	378	806	2380	174	153	118	229	320	444	764	216	281	28	10	335	113	+129	-21	-20	+26	+157	27.7
/ 162G	—	MLE		—	650	568	129	28	3	29	62	184	13	12	9	227	317	440	757	213	279	28	10	335	113	+12	-2	-2	+2	+14	2.5

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.

2026 AABirmingham Barons · 317 PAwOBA .391 → .328 (−63)K% 25.2% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.24%	÷1.000	×1.220	—	—	30.79%
BB% (unintentional) /PA	13.88%	÷1.000	×0.680	—	×1.050	9.91%
HBP% /PA	1.58%	—	×0.840	—	×1.050	1.39%
Singles /BIP	18.48%	÷1.000	×0.920	×0.950	×1.050	16.96%
Doubles /BIP	7.61%	÷1.000	×0.910	×0.950	×1.050	6.91%
Triples /BIP	1.09%	÷1.000	×0.880	×0.950	×1.050	0.95%
Home runs /BIP	10.33%	÷1.000	×0.800	—	×1.050	8.67%

Factors used: league row SL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .391 → .328; ISO .284 → .242; BABIP .299 → .269. 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).

2026 A+Winston-Salem Dash · 278 PAwOBA .399 → .307 (−92)K% 29.1% → 38.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.14%	÷1.000	×1.310	—	—	38.17%
BB% (unintentional) /PA	13.67%	÷1.000	×0.600	—	×1.027	8.42%
HBP% /PA	5.40%	—	×0.770	—	×1.027	4.27%
Singles /BIP	13.38%	÷1.000	×0.870	×0.950	×1.027	11.36%
Doubles /BIP	10.56%	÷1.000	×0.780	×0.950	×1.027	8.04%
Triples /BIP	0.70%	÷1.000	×0.850	×0.950	×1.027	0.58%
Home runs /BIP	12.68%	÷1.000	×0.880	—	×1.027	11.46%

Factors used: league row South Atlantic League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .399 → .307; ISO .318 → .267; BABIP .278 → .222. 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).

2025 AKannapolis Cannon Ballers · 432 PAwOBA .380 → .310 (−69)K% 21.1% → 28.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.06%	÷1.009	×1.360	—	—	28.40%
BB% (unintentional) /PA	15.74%	÷1.030	×0.690	—	×1.030	10.86%
HBP% /PA	1.62%	—	×0.780	—	×1.030	1.30%
Singles /BIP	22.87%	÷1.018	×0.920	×0.950	×1.030	20.23%
Doubles /BIP	10.08%	÷0.992	×0.830	×0.950	×1.030	8.25%
Triples /BIP	1.16%	÷1.091	×0.910	×0.950	×1.030	0.95%
Home runs /BIP	3.88%	÷0.853	×0.800	—	×1.030	3.75%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 104, 2B 98, 3B 118, K 102, BB 106 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .380 → .310; ISO .178 → .157; BABIP .344 → .296. 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).

2025 A+Winston-Salem Dash · 44 PAwOBA .426 → .346 (−81)K% 22.7% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.73%	÷0.955	×1.310	—	—	31.18%
BB% (unintentional) /PA	15.91%	÷0.949	×0.600	—	×1.042	10.48%
HBP% /PA	2.27%	—	×0.770	—	×1.042	1.82%
Singles /BIP	11.54%	÷0.942	×0.870	—	×1.042	11.10%
Doubles /BIP	15.38%	÷0.984	×0.780	—	×1.042	12.70%
Triples /BIP	3.85%	÷1.045	×0.850	—	×1.042	3.26%
Home runs /BIP	7.69%	÷0.923	×0.880	—	×1.042	7.64%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 85, 1B 88, 2B 97, 3B 109, K 91, BB 90 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average).

Result: wOBA .426 → .346; ISO .333 → .291; BABIP .333 → .293. 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 — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Doug DeCinces'73-'87 * career totals — 13 seasons, 6,534 PA	9.8	6,534	237	58	255*	329*	470*	+20	+32	38.7	34.4
/162	664	24	6	+2.0	+3.2	3.9	pk7: 30
#2Travis Fryman'90-'02 * career totals — 13 seasons, 7,217 PA	10.9	7,217	223	72	264*	325*	440*	+35	+13	32.2	29.6
/162	664	21	7	+3.2	+1.2	3.0	pk7: 27
#3Dan Ugglalast yr '15 career totals — 10 seasons, 5,509 PA	8.3	5,509	235	26	241	336	447	+20	-17	28.7	28.7
/162	664	28	3	+2.4	-2.1	3.5	pk7: 29
#4Rico Petrocelli'63-'76 * career totals — 12 seasons, 6,170 PA	9.3	6,170	210	10	258*	339*	470*	+43	-2	29.8	28.0
/162	664	23	1	+4.6	-0.2	3.2	pk7: 26
#5Brian Dozierlast yr '19 career totals — 8 seasons, 4,884 PA	7.4	4,884	192	105	245	326	442	+20	+24	27.7	27.6
/162	664	26	14	+2.7	+3.2	3.8	pk7: 28
#6Todd Frazierlast yr '20 career totals — 10 seasons, 4,909 PA	7.4	4,909	218	73	242	319	448	+18	+35	27.6	26.2
/162	664	29	10	+2.4	+4.7	3.7	pk7: 25
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	8.1	5,407	247	79	232	318	450	+56	-2	29.0	25.1
/162	664	30	10	+6.8	-0.2	3.6	pk7: 21

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
Caleb Bonemer (OGILVIE)	21	—	—	—	—	224/316/446	222	280	10	4	30%	9%	115	+0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Andy Pages 2022 · A	21	42→52	59→60	45→50	47	225/317/433	209	295	27	6	32%	10%	112	+2.2	225/305/404	179	293	21	7	29%	8%	100	+1.3	269/326/453	184	315	23	10	22%	6%	121	+2.8
✕Francisco Alvarez 2023 · AAA	21	46→47	59→60	43→40	48	242/325/451	209	307	28	4	30%	9%	118	+2.7	235/309/436	201	288	27	4	28%	9%	109	+2.0	231/307/434	204	276	28	2	27%	9%	108	+1.3
●Javier Báez 2014 · AA	21	45→55	59→65	54→55	36	240/287/452	212	309	27	16	32%	4%	105	+1.7	235/281/410	175	321	23	17	33%	5%	93	+0.8	274/302/512	239	331	31	15	27%	4%	126	+3.0
●Miguel Sanó 2015 · AA	22	43→52	60→70	50→45	44	227/308/451	224	312	28	8	35%	9%	112	+2.2	244/328/466	222	343	28	4	34%	11%	122	+3.0	244/332/473	229	340	30	2	35%	11%	126	+2.9
●Gleyber Torres 2020 · MLB	23	50→55	60	45→50	48	269/328/483	214	305	30	7	23%	8%	126	+3.2	258/325/424	166	303	20	10	21%	9%	112	+2.2	259/345/399	140	294	17	6	17%	11%	114	+2.6
●Andy LaRoche 2006 · AA	22	49→57	57→55	47→45	45	261/311/457	196	299	26	8	23%	6%	114	+2.4	258/331/422	164	290	20	8	18%	9%	113	+2.3	250/335/398	148	275	18	7	16%	10%	108	+1.4
✕Anthony Volpe 2022 · A	21	46→50	58→55	55	51	238/335/457	218	295	24	20	27%	10%	123	+3.0	224/298/389	165	280	17	27	25%	8%	94	+0.9	222/288/370	148	277	15	29	25%	7%	85	+0.3
✕Brandon Wood 2007 · AAA	22	46→48	61→65	52→50	40	244/299/481	237	318	28	11	32%	6%	116	+2.5	228/282/418	190	295	24	9	31%	6%	95	+0.9	222/275/404	182	278	25	7	29%	6%	87	+0.3
●Junior Caminero 2024 · MLB	21	51→55	55→65	47→45	43	265/312/442	176	315	24	7	24%	6%	111	+2.1	259/309/471	212	287	30	6	22%	6%	117	+2.6	256/314/491	234	268	35	4	20%	7%	124	+3.1
●Evan Longoria 2007 · AA	21	47→57	58→65	45→50	40	254/289/451	196	285	27	8	22%	4%	105	+1.7	263/330/469	206	308	26	6	23%	8%	124	+3.1	266/348/500	234	289	28	8	19%	10%	138	+4.4
✕Everson Pereira 2022 · A	21	47→49	63→55	50	42	243/312/475	232	340	33	13	37%	8%	119	+2.7	232/291/394	162	344	18	16	36%	7%	92	+0.7	229/289/385	156	342	17	17	36%	7%	86	+0.2
★Matt Kemp 2006 · A	21	48→58	58→65	53→55	37	255/294/454	199	318	26	17	29%	4%	107	+1.9	287/328/459	172	356	17	23	23%	5%	120	+2.8	284/340/496	212	336	27	28	23%	7%	135	+4.4
●Carlos Correa 2018 · MLB	23	55→61	57→60	50→55	54	285/356/488	204	324	25	10	20%	10%	137	+4.0	259/335/455	196	305	25	5	23%	10%	122	+3.0	263/344/444	182	303	22	0	20%	10%	124	+3.1
●Cyle Hankerd 2007 · A	22	51→49	64→60	48→45	49	275/350/515	240	294	32	7	20%	7%	142	+4.4	233/291/344	111	274	10	3	18%	5%	80	-0.1	245/321/417	172	286	20	2	21%	6%	107	+1.1
●Chris Young 2006 · AA	22	46→48	56→60	55	47	238/309/441	203	302	22	23	28%	9%	110	+2.1	236/301/437	201	274	23	20	23%	8%	106	+1.8	238/319/427	189	288	21	17	24%	10%	111	+2.3
★Bobby Witt Jr. 2022 · AAA	22	45→55	56→65	53→60	42	237/293/429	192	293	24	21	28%	6%	101	+1.4	270/316/478	208	307	25	29	20%	6%	120	+2.8	299/348/530	231	326	26	34	17%	6%	146	+5.4
●Wyatt Langford 2024 · AAA	22	53→50	56→55	53→55	55	270/355/472	202	322	22	19	23%	11%	133	+3.7	246/328/416	170	300	18	20	23%	10%	111	+2.1	240/328/410	170	291	19	21	23%	11%	109	+1.8
●Sean Rodríguez 2007 · AA	22	47→51	52→60	48→50	46	240/313/415	174	307	20	12	28%	8%	105	+1.7	236/309/417	181	299	21	10	28%	7%	105	+1.7	244/318/452	208	301	26	12	27%	7%	113	+1.7
✕Jaff Decker 2011 · A	21	48→52	55	45→55	52	242/334/429	186	315	22	7	29%	11%	116	+2.5	215/301/366	151	287	17	9	29%	10%	90	+0.6	231/308/347	116	299	10	13	24%	9%	86	+0.2
●Gabriel Moreno 2022 · AA	22	54→60	53→50	47→45	46	272/326/449	177	307	20	7	19%	6%	118	+2.6	279/338/393	114	335	11	9	19%	8%	108	+1.9	280/361/429	149	314	16	5	15%	10%	126	+2.2

Caleb Bonemer

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps