Sam Petersen — OGILVIE

Sam PetersenOF Harrisburg Senators

Age 23 R/R 5'11" / 200 lbs AA Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION544 act + 8 ros · stats below = ROS only

showingROS

wRC+†87

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%38

BB%12

BABIP303

ISO136

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$17M ctrl surplus

Tools · ContractCON 50 / POW 52

Toolsscout grade

CONTACT50

scouting grade only

POWER52

scouting grade only

EYE56

scouting grade only

SPEED57

scouting grade only

DEFENSE50

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	+0.6	$2M	+$1M
2030	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Arb-1	$2M	+0.5	$1M	+$0.1M
2033	Arb-2	$3M	+0.3	$0.7M	+$0.0M (cut)
2034	Arb-3	$3M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$8M	+$4M

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	21	A	Fredericksburg Nationals	—	25	22	8	3	1	0	1	6	1	5	0	364	417	591	1.008	227	471	24	4	421	171	+2	+1	—	—	+1	0.4
2025	22	A+	Wilmington Blue Rocks	—	172	145	43	6	2	6	20	31	5	18	0	297	400	490	890	193	339	18	12	391	151	+10	+4	—	—	+4	1.8
2025	22	ROK	FCL Nationals	—	42	31	12	1	0	1	6	9	4	4	1	387	537	516	1.053	129	500	21	14	465	201	+5	+0	—	—	+1	0.6
2025	22	INTL	Scottsdale Scorpions	—	69	59	18	5	0	3	7	21	2	2	1	305	397	542	939	237	417	30	10	407	161	+5	+0	—	—	+1	0.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Fredericksburg Nationals	—	25	22	8	3	1	0	1	8	1	5	0	364	417	591	1.008	227	417	32	4	352	124	+1	+1	—	—	+1	0.2
2025	22	A+ MLE	Wilmington Blue Rocks	—	172	152	38	5	2	5	13	43	5	18	0	250	329	408	737	158	308	25	8	318	101	+0	+4	—	—	+4	0.8
2025	22	ROK MLE	FCL Nationals	—	42	33	11	1	0	1	4	13	4	4	1	333	463	455	918	121	415	31	10	351	124	+1	+0	—	—	+1	0.3
2024	21	A MLE	Fredericksburg Nationals	—	25	22	8	3	1	0	1	8	1	5	0	364	417	591	1.008	227	533	32	4	352	124	—	—	—	—	—	—
2024	21	A RAW	Fredericksburg Nationals	—	25	22	8	3	1	0	1	6	1	5	0	364	417	591	1.008	227	471	24	4	421	124	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	283	246	64	8	2	7	22	75	11	24	2	260	348	394	742	134	341	27	8	324	106	—	—	—	—	—	—
2025	22	A+ RAW	3 teams	—	283	235	73	12	2	10	33	61	11	24	2	311	419	506	926	196	377	22	12	406	106	—	—	—	—	—	—
2024	21	A MLE	Fredericksburg Nationals	—	25	23	8	3	1	0	1	8	1	5	0	348	417	565	982	217	417	32	4	352	124	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	283	248	64	8	2	7	22	75	11	24	2	258	348	391	739	133	329	27	8	324	106	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Fredericksburg Nationals	—	25	23	8	3	1	0	1	8	1	5	0	348	417	565	982	217	417	32	4	352	124	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	283	248	64	8	2	7	22	75	11	24	2	258	348	391	739	133	329	27	8	324	106	—	—	—	—	—	—
YTD	23	AA MLE	WSH	—	544	470	97	19	4	12	49	190	21	35	5	206	309	340	650	134	314	35	9	289	82	-12	+5	+0	-3	+12	0.2
▸ 2026 season
YTD	23	AA RAW	WSH	—	419	334	82	17	3	13	61	117	16	30	5	246	382	431	813	186	333	28	15	364	82	—	—	—	—	—	—
YTD	23	AAA RAW	WSH	—	125	107	26	5	1	3	11	39	5	5	0	243	339	393	731	150	354	31	9	328	82	—	—	—	—	—	—
ROS	23	AA MLE	WSH	2%	8	7	1	0	0	0	1	3	0	0	0	143	250	143	393		305	38	12	297	87	-0	+0	-0	-0	+0	-0.0
TOT	23	AA MLE	WSH	—	552	477	98	19	4	12	50	193	21	35	5	205	308	338	646	132	313	35	9	289	82	-12	+5	-0	-3	+12	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	WSH	39%	581	507	109	20	4	15	52	187	17	23	3	215	309	359	668	144	303	32	9	303	91	-6	+3	-0	-3	+13	0.6
2028	25	MLB MLE	WSH	56%	598	522	115	21	4	17	54	187	17	20	3	220	314	374	687	153	302	31	9	309	96	-3	+3	-0	-4	+13	0.9
2029	26	MLB MLE	WSH	64%	604	527	118	22	4	18	55	186	17	19	2	224	317	383	700	159	302	31	9	313	98	-2	+3	-0	-4	+13	1.1
2030	27	MLB MLE	WSH	66%	603	527	118	22	4	18	55	185	16	17	2	224	316	383	699	159	301	31	9	313	98	-1	+3	-0	-4	+13	1.0
2031	28	MLB MLE	WSH	67%	598	522	116	21	4	18	55	184	16	15	2	222	315	381	697	159	301	31	9	312	97	-2	+2	-1	-4	+13	0.9
2032	29	MLB MLE	WSH	66%	590	514	113	21	3	17	55	183	16	14	2	220	315	372	686	152	300	31	9	310	96	-3	+2	-2	-4	+13	0.7
2033	30	MLB MLE	WSH	65%	581	506	110	20	3	17	54	181	16	13	2	217	312	370	682	152	298	31	9	307	94	-4	+2	-3	-3	+13	0.4
2034	31	MLB MLE	WSH	65%	572	499	106	19	3	16	53	180	15	12	2	212	307	359	666	146	296	31	9	303	91	-6	+2	-3	-3	+12	0.1
2035	32	MLB MLE	WSH	65%	394	344	73	13	2	11	37	126	10	7	1	212	307	358	664	145	292	32	9	298	88	-6	+1	-4	-2	+9	-0.2
2027	24	MLB CTX	WSH	39%	225	196	42	8	1	6	20	72	7	9	1	214	309	357	667	143	301	32	9	279	91	-2	+1	-0	-1	+5	0.2
2028	25	MLB CTX	WSH	56%	334	291	65	12	2	10	30	104	10	11	1	223	317	381	699	158	300	31	9	287	96	-2	+2	-0	-2	+7	0.5
2029	26	MLB CTX	WSH	64%	385	336	75	14	2	12	35	118	11	12	2	223	317	384	701	161	300	31	9	291	98	-1	+2	-0	-2	+8	0.6
2030	27	MLB CTX	WSH	66%	397	347	77	14	2	12	36	122	11	11	1	222	315	378	692	156	299	31	9	291	98	-1	+2	-0	-2	+9	0.7
2031	28	MLB CTX	WSH	67%	400	349	77	14	2	12	37	123	11	10	1	221	315	375	690	155	299	31	9	290	97	-1	+2	-1	-2	+9	0.6
2032	29	MLB CTX	WSH	66%	388	338	74	14	2	11	36	120	11	9	1	219	314	370	684	151	298	31	9	288	96	-2	+1	-1	-2	+8	0.5
2033	30	MLB CTX	WSH	65%	379	331	72	13	2	11	35	118	10	8	1	218	311	369	680	151	297	31	9	286	94	-3	+1	-2	-2	+8	0.3
2034	31	MLB CTX	WSH	65%	371	324	69	13	2	10	34	117	10	8	1	213	307	358	665	145	294	32	9	282	91	-4	+1	-2	-2	+8	0.1
2035	32	MLB CTX	WSH	65%	254	221	46	8	1	7	24	81	7	5	1	208	306	348	654	140	290	32	9	277	88	-4	+1	-2	-2	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3133	2733	597	110	16	91	287	975	88	83	10	218	313	370	683	152	301	31	9	286	95	-20	+13	-9	-19	+68	3.4
/ 162G	—	A+C		—	650	567	124	23	3	19	60	202	18	17	2	219	313	370	684	152	301	31	9	286	95	-4	+3	-2	-4	+14	0.7
Career	—	MLE		—	5437	4743	1051	190	34	154	494	1685	152	169	21	222	315	373	688	152	306	31	9	309	95	-33	+20	-14	-31	+111	5.5
/ 162G	—	MLE		—	650	567	125	23	4	18	59	201	18	20	3	220	314	370	684	150	304	31	9	309	95	-4	+3	-2	-4	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#3Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.7	3,137	91	84	220	310	373	-19	+0	5.8	5.5
/162	664	19	18	-4.0	+0.0	1.2	pk7: 5
#4Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#5Gregory 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
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4

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
Sam Petersen (OGILVIE)	23	50	52	57	56	207/305/342	134	305	7	16	33%	9%	87	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Matt McLain 2023 · AA	23	40→50	49→55	59→55	47	205/293/360	155	287	16	24	33%	10%	86	+0.3	245/323/418	173	327	19	21	29%	9%	109	+2.0	229/312/387	159	297	19	21	28%	9%	96	+0.9
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕Mario Lisson 2007 · A	23	45→49	44→50	55	47	219/296/340	121	292	11	22	27%	8%	82	-0.0	215/266/325	110	280	11	19	26%	5%	66	-1.1	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Joe Benson 2011 · AA	23	44→50	52→55	51→50	42	224/295/399	175	308	18	16	32%	7%	95	+1.0	215/280/364	149	297	14	14	31%	7%	81	-0.1	209/280/316	107	280	8	13	27%	7%	68	-0.7
✕Drew Ferguson 2017 · AA	24	49→50	45	53→55	44	240/306/370	130	319	12	21	28%	7%	92	+0.7	238/315/349	111	322	10	18	27%	9%	91	+0.6	235/320/338	103	319	9	20	27%	9%	87	+0.2
●Zack Gelof 2022 · A	22	48→50	49→55	54→55	43	235/299/383	148	333	16	17	33%	8%	93	+0.8	233/296/404	171	326	21	20	33%	8%	97	+1.1	229/294/405	176	316	22	24	33%	8%	93	+0.7
●Rafael Lantigua 2022 · A	24	45→55	45	53→55	45	223/287/353	130	295	13	20	28%	8%	81	-0.1	247/317/352	105	324	8	18	24%	9%	91	+0.7	251/326/344	93	326	6	18	23%	9%	90	+0.5
✕Eguy Rosario 2023 · AAA	23	45→52	48→55	51→55	44	224/288/368	143	289	15	21	27%	7%	84	+0.2	210/273/359	149	279	16	17	30%	7%	78	-0.3	189/253/336	146	255	17	17	32%	7%	62	-0.7
✕Dru Baker 2023 · A	23	50→58	44→40	57→60	44	237/301/356	119	332	11	24	30%	8%	86	+0.3	241/295/331	90	341	8	32	30%	6%	78	-0.3	239/292/313	74	340	6	36	30%	5%	69	-0.7
✕Daulton Varsho 2019 · A	23	47→49	47→60	55→50	42	233/291/362	129	300	15	18	27%	6%	84	+0.2	239/303/406	167	279	19	17	21%	7%	99	+1.3	228/296/424	195	260	25	15	23%	8%	98	+1.1
✕Bradley Zimmer 2016 · AA	23	46→51	46→50	58→60	41	227/295/358	132	315	14	28	31%	6%	86	+0.3	225/295/359	134	338	13	28	35%	8%	86	+0.3	229/307/355	126	348	13	28	35%	8%	87	+0.2
✕Derek Fisher 2017 · AAA	23	45→50	48→55	55	45	223/295/365	143	312	16	20	32%	9%	86	+0.3	230/301/396	166	321	20	18	33%	9%	97	+1.1	225/302/403	177	309	23	18	33%	9%	95	+0.7
✕Danny Espinosa 2010 · A	23	45→51	48→55	51→50	43	223/296/371	148	309	15	18	32%	8%	88	+0.5	234/301/395	161	302	18	17	28%	7%	96	+1.0	237/306/402	165	303	18	17	27%	7%	96	+1.1
✕Cole Gillespie 2007 · A	23	49→58	46→50	52→50	52	239/317/369	129	293	13	15	22%	9%	96	+1.0	230/310/363	133	297	12	13	25%	10%	92	+0.7	230/306/374	144	291	12	14	24%	9%	90	+0.5
✕Dylan Moore 2017 · A	24	44→48	44→50	54→65	47	216/295/339	123	274	11	23	24%	8%	81	-0.1	209/275/329	120	265	11	18	25%	7%	71	-0.8	207/330/379	172	285	16	41	30%	12%	101	+0.7
✕Nick Senzel 2017 · A	22	48→57	45→50	51→50	46	230/295/364	133	302	10	16	26%	8%	86	+0.3	251/305/391	140	330	12	14	26%	7%	96	+1.0	256/310/402	146	332	13	16	26%	7%	97	+0.7
✕Samad Taylor 2022 · AA	24	45→54	48→45	55→65	41	218/291/358	140	333	16	28	37%	8%	84	+0.2	231/301/351	120	321	12	39	30%	8%	86	+0.3	233/306/336	103	319	9	43	28%	9%	81	-0.0
✕Jordan Westburg 2022 · AA	23	50	46→60	52→50	44	233/312/369	135	341	12	12	33%	8%	94	+0.9	235/297/400	165	304	17	10	27%	7%	96	+1.0	253/305/444	191	300	23	7	24%	6%	107	+1.4
✕Lewis Brinson 2017 · AAA	23	47→53	50→55	52→50	40	237/280/396	159	303	17	15	28%	5%	88	+0.4	217/268/361	144	284	16	12	28%	5%	76	-0.4	230/272/404	174	301	22	8	31%	5%	85	+0.1
✕Andy Burns 2014 · AA	23	47→57	46→50	53→55	44	231/285/374	142	291	12	19	25%	6%	84	+0.2	232/276/343	111	285	9	13	21%	5%	74	-0.6	199/279/320	121	257	13	10	27%	9%	68	-0.6

Career Stats + Projections

Career Comps

Career Path Comps