Callan Moss — OGILVIE

Callan Moss1B Altoona Curve

Age 22 R/R 6'3" / 225 lbs AA HR -15%K -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION526 act + 9 ros · stats below = ROS only

showingROS

wRC+†80

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP312

ISO113

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$9M ctrl surplus

Tools · ContractCON 50 / POW 45

Toolsscout grade

CONTACT50

scouting grade only

POWER45

scouting grade only

EYE50

scouting grade only

SPEED50

scouting grade only

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	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$0.4M	—	—	—
2033	Arb-2	$5M	—	—	—
2034	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$-2M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2024	20	A	Columbia Fireflies	—	80	62	21	1	0	2	18	12	0	3	2	339	487	452	939	113	396	15	22	429	176	+7	-0	—	—	+2	0.9
2025	21	A+	Greensboro Grasshoppers	—	521	442	127	30	3	13	65	116	8	17	6	287	388	457	845	170	357	22	12	374	139	+24	+1	—	—	+11	3.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	20	A MLE	Columbia Fireflies	—	80	69	20	1	0	2	11	18	0	3	2	290	388	391	779	101	357	22	14	339	116	+1	-0	—	—	+2	0.3
2025	21	A+ MLE	Greensboro Grasshoppers	—	521	465	113	24	3	10	42	156	8	17	6	243	317	372	689	129	328	30	8	301	90	-6	+1	—	—	+11	0.6
2024	20	A MLE	Columbia Fireflies	—	80	69	20	1	0	2	11	18	0	3	2	290	388	391	779	101	367	22	14	339	116	—	—	—	—	—	—
2024	20	A RAW	Columbia Fireflies	—	80	62	21	1	0	2	18	12	0	3	2	339	487	452	939	113	396	15	22	429	116	—	—	—	—	—	—
2025	21	A+ MLE	Greensboro Grasshoppers	—	521	465	113	24	3	10	42	156	8	17	6	243	317	372	689	129	338	30	8	301	90	—	—	—	—	—	—
2025	21	A+ RAW	Greensboro Grasshoppers	—	521	442	127	30	3	13	65	116	8	17	6	287	388	457	845	170	357	22	12	374	90	—	—	—	—	—	—
2024	20	A MLE	Columbia Fireflies	—	80	69	20	1	0	2	11	18	0	3	2	290	388	391	779	101	357	22	14	339	116	—	—	—	—	—	—
2025	21	A+ MLE	Greensboro Grasshoppers	—	521	466	113	24	3	10	42	156	8	17	6	242	317	371	688	129	328	30	8	301	90	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	20	A MLE	Columbia Fireflies	—	80	69	20	1	0	2	11	18	0	3	2	290	388	391	779	101	357	22	14	339	116	—	—	—	—	—	—
2025	21	A+ MLE	Greensboro Grasshoppers	—	521	466	113	24	3	10	42	156	8	17	6	242	317	371	688	129	328	30	8	301	90	—	—	—	—	—	—
YTD	22	AA MLE	PIT	—	526	484	115	23	2	8	33	153	6	8	1	238	294	343	637	105	328	29	6	280	76	-15	+1	+0	-9	+11	-1.2
▸ 2026 season
YTD	22	AA RAW	PIT	—	526	469	125	26	2	11	48	125	6	8	1	267	342	401	743	134	339	24	9	333	76	—	—	—	—	—	—
ROS	22	AA MLE	PIT	2%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		314	33	11	286	80	-0	+0	+0	-0	+0	-0.0
TOT	22	AA MLE	PIT	—	535	492	116	23	2	8	34	156	6	8	1	236	293	339	633	104	326	29	6	280	76	-15	+1	+0	-10	+12	-1.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	PIT	35%	512	465	111	22	2	11	37	138	5	8	2	239	302	366	667	127	311	27	7	296	87	-8	+1	+0	-9	+11	-0.6
2028	24	MLB MLE	PIT	47%	588	534	129	25	2	14	43	155	6	9	2	242	305	375	680	133	310	26	7	303	91	-6	+1	+0	-10	+13	-0.3
2029	25	MLB MLE	PIT	52%	593	537	129	25	2	14	45	154	6	10	2	240	306	372	679	132	310	26	8	306	93	-5	+1	+0	-11	+13	-0.1
2030	26	MLB MLE	PIT	54%	592	536	130	25	2	15	45	153	6	10	2	243	308	381	689	138	309	26	8	308	94	-4	+1	+0	-11	+13	-0.1
2031	27	MLB MLE	PIT	54%	587	530	129	25	2	15	46	152	6	10	2	243	311	383	694	140	309	26	8	308	94	-4	+1	+0	-10	+13	-0.1
2032	28	MLB MLE	PIT	54%	580	523	125	24	2	14	46	151	6	10	2	239	308	373	681	134	308	26	8	306	93	-5	+1	-1	-10	+13	-0.2
2033	29	MLB MLE	PIT	53%	571	515	124	24	2	14	45	150	6	10	2	241	309	377	686	136	307	26	8	304	92	-5	+1	-1	-10	+12	-0.4
2034	30	MLB MLE	PIT	52%	562	506	120	23	2	13	45	149	6	9	2	237	307	368	675	130	305	27	8	301	90	-7	+1	-2	-10	+12	-0.6
2027	23	MLB CTX	PIT	35%	180	163	39	8	1	3	13	49	2	3	1	239	303	356	659	117	309	27	7	284	87	-3	+0	+0	-3	+4	-0.2
2028	24	MLB CTX	PIT	47%	274	249	60	12	1	6	20	72	3	4	1	241	305	369	675	129	308	26	7	290	91	-3	+0	+0	-5	+6	-0.2
2029	25	MLB CTX	PIT	52%	307	278	66	13	1	7	23	80	3	5	1	237	303	367	670	129	307	26	7	294	93	-2	+1	+0	-5	+7	-0.1
2030	26	MLB CTX	PIT	54%	321	290	69	14	1	7	25	83	3	6	1	238	305	366	671	128	307	26	8	295	94	-2	+1	+0	-6	+7	-0.0
2031	27	MLB CTX	PIT	54%	319	288	68	13	1	7	25	83	3	6	1	236	304	361	665	125	306	26	8	295	94	-2	+1	+0	-6	+7	-0.0
2032	28	MLB CTX	PIT	54%	315	284	67	13	1	7	25	82	3	5	1	236	304	363	667	127	305	26	8	294	93	-2	+1	-0	-6	+7	-0.1
2033	29	MLB CTX	PIT	53%	303	273	64	12	1	7	24	80	3	5	1	234	303	363	666	128	304	26	8	292	92	-3	+1	-1	-5	+7	-0.2
2034	30	MLB CTX	PIT	52%	295	267	62	12	1	6	23	78	3	5	1	232	300	352	652	120	302	26	8	289	90	-4	+1	-1	-5	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2314	2092	495	97	8	50	178	607	23	39	8	237	304	362	666	126	307	26	8	292	92	-22	+5	-2	-41	+50	-1.1
/ 162G	—	A+C		—	650	588	139	27	2	14	50	171	6	11	2	236	303	361	663	124	307	26	8	292	92	-6	+1	-1	-12	+14	-0.3
Career	—	MLE		—	5195	4688	1131	218	19	122	406	1379	55	96	24	241	309	374	683	133	314	27	8	304	92	-44	+9	-4	-82	+100	-2.3
/ 162G	—	MLE		—	650	587	141	27	2	15	51	173	7	12	3	240	309	370	679	129	313	27	8	304	92	-6	+1	-1	-12	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Francoeurlast yr '16 career totals — 11 seasons, 5,633 PA	8.5	5,633	160	54	262	304	417	-60	-26	6.8	9.0
/162	664	19	6	-7.1	-3.1	0.8	pk7: 11
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Casey Kotchmanlast yr '12 career totals — 9 seasons, 3,391 PA	5.1	3,391	71	14	262	328	388	-61	-28	1.3	3.3
/162	664	14	3	-11.9	-5.5	0.3	pk7: 5
#4Gaby Sanchezlast yr '14 career totals — 5 seasons, 2,240 PA	3.4	2,240	59	12	254	332	411	-40	-26	2.2	2.2
/162	664	17	4	-11.9	-7.8	0.6	pk7: 2
#5Yonder Alonsolast yr '19 career totals — 9 seasons, 3,744 PA	5.6	3,744	100	22	260	333	405	-66	-62	1.3	2.0
/162	664	18	4	-11.7	-11.0	0.2	pk7: 3
#6Ike Davislast yr '15 career totals — 6 seasons, 2,377 PA	3.6	2,377	81	7	239	332	416	-42	-36	1.7	1.7
/162	664	23	2	-11.9	-10.1	0.5	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	3.5	2,320	55	39	241	304	375	-41	-6	0.5	0.5
/162	664	16	11	-11.9	-1.7	0.1	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
Callan Moss (OGILVIE)	22	50	45	50	50	231/292/339	108	314	5	5	28%	7%	80	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ryan Vilade 2021 · A	22	47→51	41→55	51→50	46	226/283/325	100	287	8	13	24%	7%	72	-0.7	221/279/309	88	288	6	11	24%	7%	67	-1.1	225/289/385	159	278	18	15	25%	7%	87	+0.3
✕Alex Call 2017 · A	22	48	41→50	48→50	44	233/290/336	103	297	8	12	24%	6%	78	-0.3	198/258/303	105	274	9	8	29%	7%	59	-1.7	238/341/359	122	289	11	12	20%	12%	103	+0.8
●Justyn-Henry Malloy 2022 · A	22	45→55	44→50	47→45	48	222/295/339	117	300	12	10	29%	9%	81	-0.1	232/323/370	138	327	16	5	31%	11%	99	+1.2	232/338/377	145	320	16	5	30%	12%	104	+1.4
✕Rich Poythress 2010 · AA	22	46→49	41→50	50→40	47	221/295/313	91	308	9	8	29%	9%	75	-0.5	245/301/395	150	293	17	4	22%	7%	96	+1.0	250/308/397	147	290	17	3	20%	7%	97	+0.9
✕Alex Hassan 2010 · A	22	47→56	45	51→45	40	230/278/359	129	311	12	8	29%	6%	78	-0.3	236/315/356	120	301	10	6	23%	9%	93	+0.8	251/338/351	100	313	8	3	21%	10%	97	+0.7
●Luken Baker 2019 · A	22	50→46	43→60	48→30	44	240/293/351	111	314	10	5	26%	7%	82	-0.0	205/266/340	135	283	15	3	31%	7%	70	-0.8	202/289/404	202	242	28	0	29%	10%	93	+0.6
✕Rainel Rosario 2011 · A	22	43→52	46→50	46→50	44	209/286/349	139	300	12	8	32%	8%	80	-0.2	209/265/306	97	310	8	9	33%	6%	61	-1.5	249/305/384	135	283	16	6	18%	7%	91	+0.5
✕Matt Fiedler 2017 · A	22	49	41→45	50	44	235/284/342	107	292	8	9	22%	6%	76	-0.4	221/274/323	102	290	8	8	26%	6%	69	-0.9	210/266/312	102	274	9	8	26%	6%	61	-0.5
✕Cirilo Cumberbatch 2008 · A	22	50→43	41→40	48→45	44	240/301/338	98	300	9	6	22%	6%	82	+0.0	219/270/293	74	285	6	8	24%	5%	60	-1.6	204/250/248	44	268	3	7	24%	4%	40	-2.1
✕Mark Zagunis 2015 · A	22	48→53	41→45	55→50	47	227/299/337	110	297	6	15	24%	8%	82	-0.0	238/326/367	129	307	11	9	24%	10%	99	+1.3	235/331/371	136	304	12	8	24%	11%	99	+0.9
●Dave Sappelt 2009 · A	22	45→55	43→45	49→55	41	220/262/341	121	276	10	7	24%	5%	68	-1.0	255/293/365	110	304	7	18	18%	5%	84	+0.2	268/307/380	112	313	7	19	16%	5%	90	+0.6
✕Buddy Kennedy 2021 · A	22	44→51	41→45	45→50	44	216/269/317	101	276	8	5	25%	6%	65	-1.2	220/295/338	118	293	12	10	27%	9%	80	-0.1	227/314/338	111	280	9	4	21%	9%	86	+0.3
✕Josh Elander 2013 · A	22	44→49	44→50	50→45	47	219/288/336	118	263	11	7	21%	7%	78	-0.3	227/285/345	118	300	11	7	27%	7%	78	-0.3	228/284/353	125	301	13	8	28%	7%	77	-0.2
●Chris Pettit 2007 · A	22	48→55	45→50	50	44	233/307/366	133	306	10	6	26%	7%	92	+0.7	249/310/390	141	304	12	14	22%	6%	98	+1.2	255/314/395	140	307	12	18	20%	6%	98	+0.8
✕José Osuna 2015 · A	22	45→54	42→55	46→45	41	223/264/331	108	277	10	8	23%	5%	67	-1.1	238/276/367	129	290	11	6	21%	5%	80	-0.2	250/299/416	166	288	16	4	19%	6%	98	+0.8
✕Tyler Austin 2014 · AA	22	50→56	45→60	55→45	43	241/297/369	127	322	11	11	28%	7%	88	+0.4	232/287/351	119	310	11	8	27%	7%	80	-0.2	229/290/423	195	307	24	3	33%	7%	96	+0.7
✕Daniel Paolini 2012 · A	22	43→50	41→50	50→40	42	207/274/314	107	292	7	6	30%	7%	67	-1.1	226/295/369	143	269	15	4	21%	8%	88	+0.4	224/296/373	149	258	16	3	20%	8%	86	+0.3
✕Jordan Beck 2023 · A	22	47→48	45→50	48→55	51	230/310/357	127	306	12	5	28%	10%	91	+0.6	216/279/360	144	301	16	15	32%	8%	80	-0.2	216/278/358	143	297	16	18	32%	8%	76	-0.3
✕Ben Malgeri 2022 · A	22	46→53	40→50	51→50	39	216/276/312	95	317	7	11	32%	6%	68	-1.0	201/276/310	109	313	9	13	36%	7%	68	-1.0	233/299/372	139	329	12	15	31%	7%	87	+0.2
✕Pablo Reyes 2016 · A	22	45→55	43→50	50→55	48	219/275/330	110	257	10	15	19%	7%	70	-0.8	229/284/338	109	274	9	16	19%	7%	76	-0.4	251/321/374	122	298	12	22	19%	9%	95	+0.5

Career Stats + Projections

Career Comps

Career Path Comps