Cannon Peebles

C Hill City Howlers

Age 23 S/R 5'11" / 190 lbs A Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP40OGV rank#231ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ALynchburg Hil…	32	.276/.344/.379	0	4	50	—	.233/.281/.333
2026	22	A+/ACLE	378	.219/.405/.413	11	9	75	—	.167/.310/.304
2027PROJMLE	23	MLBCLE	459	.203/.330/.339	11	9	94	0.9
2028PROJ42% MLB	24	MLBCLE	122	.207/.332/.347	3	2	97	0.4
2029PROJ62% MLB	25	MLBCLE	214	.210/.332/.352	5	4	98	0.9

Next 3 projected WAR 2.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

BB%99

Chase%98

wOBA95

wRC+94

ISO84

Z-Con%65

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 94%

CompsOliver Carrillo (age 22) · Miguel Amaya (age 23) · Thomas Dillard (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†94

AVG/OBP/SLG.202 / .328 / .336

PA210

HR5

K%28

BB%15

ISO136

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$44M ctrl surplus

Tools · ContractCON 31 / POW 48

Toolsscout grade

CONTACT31

scouting grade only

POWER48

scouting grade only

EYE79

scouting grade only

SPEED53

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2033	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2035	Arb-1	$1M	+0.3	$0.7M	+$0.1M
2036	Arb-2	$0.7M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$4M		$10M	+$7M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	21	A	Lynchburg Hillcats	—	32	29	8	1	1	0	3	9	0	4	0	276	344	379	723	103	400	28	9	326	50	—	—	—	—	—	—
2026	22	A+	Lake County Captains	—	104	73	17	5	0	4	28	28	3	0	0	233	462	466	927	233	317	27	27	420	108	—	—	—	—	—	—
2026	22	A	Hill City Howlers	—	274	215	46	14	2	7	55	69	4	9	7	214	383	395	779	181	281	25	20	357	63	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Lynchburg Hillcats	—	32	30	7	1	1	0	2	12	0	4	0	233	281	333	615	100	353	38	6	242	50	—	—	—	—	—	—
2026	22	A+ MLE	Lake County Captains	—	104	81	15	4	0	3	20	36	3	0	0	185	365	346	711	160	276	35	19	328	108	—	—	—	—	—	—
2026	22	A MLE	Hill City Howlers	—	274	232	37	11	2	5	38	94	4	9	7	159	288	289	577	129	234	34	14	262	63	—	—	—	—	—	—
2025	21	A MLE	Lynchburg Hillcats	—	32	30	7	1	1	0	2	12	0	4	0	233	281	333	615	100	389	38	6	242	50	—	—	—	—	—	—
2025	21	A RAW	Lynchburg Hillcats	—	32	29	8	1	1	0	3	9	0	4	0	276	344	379	723	103	400	28	9	326	50	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	378	313	53	15	2	9	58	129	7	9	7	169	312	316	628	147	251	34	15	280	76	—	—	—	—	—	—
2026	22	A RAW	2 teams	—	378	288	63	19	2	11	83	97	7	9	7	219	405	413	818	194	289	26	22	375	76	—	—	—	—	—	—
2025	21	A MLE	Lynchburg Hillcats	—	32	30	7	1	1	0	2	12	0	4	0	233	281	333	615	100	353	38	6	242	50	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	378	310	53	15	2	9	58	129	7	9	7	171	312	319	632	148	246	34	15	280	76	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	Lynchburg Hillcats	—	32	30	7	1	1	0	2	12	0	4	0	233	281	333	615	100	353	38	6	242	50	—	—	—	—	—	—
2026	22	A MLE	2 teams	—	378	310	53	15	2	9	58	129	7	9	7	171	312	319	632	148	246	34	15	280	76	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	CLE	0%	459	383	78	16	2	11	67	128	6	9	3	203	330	339	669	136	271	28	15	308	94	-3	+1	+0	+8	+10	0.9
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	CLE	42%	289	242	50	10	1	7	41	79	4	6	2	207	332	348	680	141	274	27	14	311	97	-1	+0	+0	+5	+6	1.1
2029	25	MLB MLE	CLE	62%	345	290	61	12	2	9	48	94	4	7	2	210	332	354	685	144	275	27	14	313	98	-1	+1	+0	+6	+7	1.4
2030	26	MLB MLE	CLE	71%	375	315	67	13	2	10	52	101	5	7	3	212	331	357	688	145	275	27	14	314	98	-1	+0	+0	+7	+8	1.5
2031	27	MLB MLE	CLE	73%	387	327	70	14	2	10	52	104	5	8	3	213	330	357	687	144	276	27	13	313	98	-1	+0	+0	+7	+8	1.5
2032	28	MLB MLE	CLE	75%	390	331	71	14	2	10	52	105	4	7	3	213	327	355	682	142	276	27	13	311	96	-2	+0	-1	+7	+8	1.3
2033	29	MLB MLE	CLE	73%	383	325	69	14	2	9	51	104	4	6	3	210	324	348	672	138	274	27	13	307	94	-3	+0	-1	+7	+8	1.1
2034	30	MLB MLE	CLE	73%	374	318	66	13	2	9	49	102	4	6	3	207	321	340	660	133	272	27	13	302	91	-4	+0	-2	+7	+8	0.9
2035	31	MLB MLE	CLE	72%	342	290	59	12	1	8	45	95	4	5	4	202	316	329	645	127	268	28	13	296	87	-5	-1	-3	+6	+7	0.5
2036	32	MLB MLE	CLE	72%	303	258	51	10	1	6	39	86	3	4	6	197	309	316	626	120	264	28	13	289	81	-7	-2	-4	+5	+7	0.0
2028	24	MLB CTX	CLE	42%	122	102	21	4	1	3	17	33	2	2	1	207	332	347	678	139	274	27	14	311	97	-0	+0	+0	+2	+3	0.4
2029	25	MLB CTX	CLE	62%	214	179	38	8	1	5	30	58	3	4	1	210	332	352	684	142	275	27	14	313	98	-1	+0	+0	+4	+5	0.9
2030	26	MLB CTX	CLE	71%	267	225	48	10	1	7	37	72	3	5	2	212	331	356	687	144	276	27	14	313	98	-0	+0	+0	+5	+6	1.0
2031	27	MLB CTX	CLE	73%	284	241	50	10	1	7	38	76	3	6	2	213	330	356	686	143	276	27	13	312	98	-1	+0	+0	+5	+6	1.1
2032	28	MLB CTX	CLE	75%	291	247	52	11	1	7	39	78	3	5	2	213	327	354	681	141	276	27	13	310	96	-1	+0	-1	+5	+6	1.0
2033	29	MLB CTX	CLE	73%	281	239	50	10	1	7	37	76	3	5	2	210	324	347	671	137	274	27	13	307	94	-2	+0	-1	+5	+6	0.8
2034	30	MLB CTX	CLE	73%	272	231	48	10	1	6	36	75	3	4	2	207	321	339	660	132	272	28	13	302	91	-3	+0	-2	+5	+6	0.6
2035	31	MLB CTX	CLE	72%	248	211	43	9	1	5	32	69	3	3	3	202	316	329	645	126	269	28	13	296	87	-4	-1	-2	+4	+5	0.3
2036	32	MLB CTX	CLE	72%	219	187	37	7	1	5	28	62	2	3	4	197	310	316	625	119	264	28	13	289	81	-5	-1	-3	+4	+5	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2198	1862	387	79	9	52	294	599	25	37	19	208	324	344	667	136	275	27	13	306	91	-17	-0	-8	+39	+48	6.3
/ 162G	—	A+C		—	650	551	114	23	3	15	87	177	7	11	6	207	322	341	664	134	273	27	13	306	91	-5	-0	-2	+12	+14	1.9
Career	—	MLE		—	3808	3213	660	135	19	92	520	1069	47	73	37	205	325	345	670	140	274	28	14	303	91	-26	+0	-10	+61	+74	10.0
/ 162G	—	MLE		—	650	548	113	23	3	16	89	182	8	12	6	206	326	347	672	141	275	28	14	303	91	-5	+0	-2	+12	+14	1.9

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 AHill City Howlers · 274 PAwOBA .349 → .262 (−88)K% 25.2% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.18%	÷1.000	×1.360	—	—	34.25%
BB% (unintentional) /PA	20.07%	÷1.000	×0.690	—	—	13.85%
HBP% /PA	1.46%	—	×0.780	—	—	1.14%
Singles /BIP	15.75%	÷1.000	×0.920	×0.950	—	13.77%
Doubles /BIP	9.59%	÷1.000	×0.830	×0.950	—	7.56%
Triples /BIP	1.37%	÷1.000	×0.910	×0.950	—	1.18%
Home runs /BIP	4.79%	÷1.000	×0.800	—	—	3.84%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .349 → .262; ISO .181 → .139; BABIP .281 → .234. 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+Lake County Captains · 104 PAwOBA .411 → .328 (−83)K% 26.9% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.92%	÷1.000	×1.270	—	—	34.19%
BB% (unintentional) /PA	26.92%	÷1.000	×0.710	—	×1.012	19.34%
HBP% /PA	2.88%	—	×0.790	—	×1.012	2.31%
Singles /BIP	17.78%	÷1.000	×0.920	—	×1.012	16.55%
Doubles /BIP	11.11%	÷1.000	×0.810	—	×1.012	9.11%
Triples /BIP	0.00%	÷1.000	×0.850	—	×1.012	0.00%
Home runs /BIP	8.89%	÷1.000	×0.800	—	×1.012	7.20%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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).

Result: wOBA .411 → .328; ISO .233 → .193; BABIP .317 → .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).

2025 ALynchburg Hillcats · 32 PAwOBA .318 → .242 (−76)K% 28.1% → 38.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.12%	÷0.989	×1.360	—	—	38.67%
BB% (unintentional) /PA	9.38%	÷0.975	×0.690	—	×1.015	6.74%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	30.00%	÷1.071	×0.920	—	×1.015	26.15%
Doubles /BIP	5.00%	÷0.921	×0.830	—	×1.015	4.57%
Triples /BIP	5.00%	÷1.020	×0.910	—	×1.015	4.53%
Home runs /BIP	0.00%	÷1.184	×0.800	—	×1.015	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 114, 2B 84, 3B 104, K 98, BB 95 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).

Result: wOBA .318 → .242; ISO .103 → .082; BABIP .400 → .353. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Austin Barneslast yr '24 career totals — 8 seasons, 1,639 PA	2.5	1,639	35	22	225	325	344	+29	+59	12.4	12.5
/162	664	14	9	+11.9	+23.8	5.0	pk7: 13
#3Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#4Jason LaRue'99-'10 * career totals — 12 seasons, 3,103 PA	4.7	3,103	96	14	223*	304*	385*	+54	+0	9.6	9.7
/162	664	21	3	+11.5	+0.1	2.1	pk7: 10
#5Mike Fitzgerald'83-'92 * career totals — 9 seasons, 2,667 PA	4.0	2,667	48	31	234*	320*	372*	+43	-1	9.5	9.3
/162	664	12	8	+10.8	-0.3	2.4	pk7: 9
#6Elrod Hendricks'68-'79 * career totals — 9 seasons, 2,155 PA	3.2	2,155	62	1	224*	308*	401*	+37	-0	8.7	8.7
/162	664	19	0	+11.4	-0.1	2.7	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	3.6	2,408	58	41	209	322	347	+43	+28	9.2	8.4
/162	664	16	11	+11.9	+7.7	2.5	pk7: 8

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
Cannon Peebles (OGILVIE)	23	26→31	43→48	48→53	79	202/328/336	134	271	5	4	28%	15%	94	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Oliver Carrillo 2024 · A	22	42→28	46→45	49→45	62	204/341/335	130	266	13	6	26%	15%	99	+1.3	181/269/294	113	292	13	4	39%	9%	62	-1.4	153/235/262	109	252	14	2	42%	8%	40	-1.5
✕Miguel Amaya 2022 · AA	23	44→43	44→50	50→40	51	216/311/333	117	280	11	7	25%	10%	86	+0.3	226/312/365	139	299	15	5	28%	9%	94	+0.9	230/302/374	144	273	16	1	22%	7%	92	+0.3
✕Thomas Dillard 2021 · A	23	45→38	44→45	52→50	51	215/305/333	117	304	12	10	31%	11%	84	+0.1	196/282/319	123	325	13	9	40%	10%	72	-0.7	181/273/303	121	301	13	9	40%	10%	64	-1.1
✕Bo Naylor 2023 · AAA	23	42→46	50→55	54→50	49	211/301/366	155	290	17	16	32%	10%	90	+0.6	217/302/391	174	272	21	10	27%	10%	96	+1.0	206/293/384	178	246	22	6	26%	10%	92	+0.5
✕Zack Short 2018 · A	23	42→39	45→50	48→45	53	209/300/336	128	267	12	11	25%	10%	82	+0.0	201/292/339	138	285	13	8	31%	10%	80	-0.1	178/280/321	143	246	16	6	32%	11%	70	-0.6
✕Dalton Rushing 2024 · A	23	45→42	52→55	48→30	54	226/343/400	175	303	19	4	30%	12%	114	+2.3	233/320/402	169	303	21	3	28%	9%	105	+1.7	235/318/410	176	300	23	1	28%	9%	106	+1.0
✕Austin Wells 2022 · A	23	43→44	48→55	56→50	47	212/302/359	147	307	15	12	34%	10%	88	+0.5	219/297/382	163	280	19	10	28%	9%	92	+0.7	215/296/383	167	260	20	8	25%	9%	91	+0.5
✕Nolan Fontana 2014 · A	23	45	40	52→50	60	209/326/308	98	294	7	14	28%	14%	86	+0.3	210/308/299	89	309	4	9	29%	12%	77	-0.3	186/292/310	124	256	11	12	29%	12%	73	-0.3
✕Darrien Miller 2023 · A	22	40→42	47→45	50→45	49	202/313/334	132	268	16	7	29%	10%	88	+0.5	192/300/291	99	262	9	5	28%	10%	74	-0.5	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Noah Cardenas 2023 · A	23	46→45	44→45	47→45	54	223/326/344	120	286	11	9	24%	11%	95	+0.9	203/302/303	100	275	8	8	27%	10%	76	-0.4	185/290/277	92	251	8	6	27%	11%	63	-0.7
●Mickey Gasper 2019 · A	23	41→51	50	47→45	53	214/294/366	152	238	19	4	20%	10%	87	+0.4	212/285/334	122	269	12	5	25%	7%	76	-0.4	244/334/397	153	276	17	6	18%	10%	107	+1.2
✕Jose Lobatón 2008 · A	23	43	45	43→30	45	215/285/340	125	294	13	3	30%	8%	78	-0.3	220/279/339	119	292	12	3	27%	7%	74	-0.5	234/317/366	131	296	12	0	23%	10%	95	+0.4
✕Jace Jung 2024 · AA	23	43→44	52→50	48→40	48	220/300/383	163	290	20	5	30%	9%	93	+0.8	216/304/368	152	282	17	4	28%	11%	91	+0.7	205/299/350	146	260	16	3	27%	11%	84	+0.1
✕Curt Casali 2012 · A	23	45	45→50	49→30	51	220/287/348	129	253	11	7	18%	8%	80	-0.2	235/306/363	128	282	12	3	20%	8%	91	+0.6	238/310/384	146	297	17	0	25%	8%	97	+0.4
✕Zack Collins 2019 · AA	24	39→42	48→50	47→40	50	192/294/333	141	297	15	4	37%	12%	80	-0.1	210/305/364	154	309	17	4	34%	12%	91	+0.7	192/293/353	162	269	18	2	33%	12%	85	+0.1
✕Daniel Vellojin 2023 · AA	23	40	45	42→45	52	200/295/324	124	280	13	6	32%	12%	78	-0.3	181/261/276	95	256	9	6	31%	9%	54	-2.0	150/230/223	73	210	7	4	31%	8%	29	-1.4
✕Robert Kral 2013 · AAA	24	49→41	45→55	43→40	56	235/331/363	129	304	12	5	25%	12%	100	+1.3	206/298/347	141	257	15	4	25%	11%	84	+0.2	189/290/335	146	224	17	2	24%	12%	77	-0.2
●Derek Norris 2012 · AA	23	39→49	53→55	47→50	53	204/313/377	173	277	21	10	32%	12%	97	+1.1	230/312/390	160	287	19	10	25%	10%	99	+1.3	257/333/410	152	314	16	5	22%	9%	112	+1.6
✕Andrew Cossetti 2024 · A	24	47→25	50	50→40	52	231/332/393	162	302	16	4	27%	11%	107	+1.9	183/280/321	138	267	15	5	35%	10%	73	-0.6	152/260/285	132	220	16	4	36%	10%	55	-1.3
✕Jeferson Morales 2022 · A	23	41→47	47→45	48→50	48	209/292/350	141	261	14	9	25%	8%	83	+0.1	206/282/335	129	268	13	9	27%	7%	76	-0.4	222/297/349	127	274	11	8	22%	7%	81	-0.0

Cannon Peebles

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps