Keegan Pieternella

C FCL Blue Jays

Age 19 S/R 5'8" / 169 lbs ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Blue Jays…	114	.200/.363/.222	0	0	17	—	.124/.248/.134
2026	18	ROKTOR	48	.220/.333/.293	0	0	14	—	.159/.229/.227
2027PROJ0% MLB	19	MLBTOR	158	.208/.282/.276	1	1	60	0.0
2028PROJ34% MLB	20	MLBTOR	50	.213/.288/.293	0	0	66	-0.0
2029PROJ48% MLB	21	MLBTOR	140	.217/.293/.306	2	1	71	0.0

Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Speed45

BB%43

Chase%41

ISO26

wRC+22

wOBA16

Career WAR0 WAR median (P10 0 / P90 0, comp-based) · star 1% · didn't stick 93%

CompsJose Marquez (age 19) · Blake Perkins (age 19) · Luis Barrera (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 54 proj PA

wRC+†60

AVG/OBP/SLG.206 / .280 / .274

PA54

HR0

K%27

BB%8

ISO69

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2035	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2036	Arb-1	$2M	+0.4	$0.8M	+$0.0M
2037	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2038	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$5M	+$2M

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. 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 below FG-DC by 1-3 WAR.

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	17	ROK	DSL Blue Jays Blue	—	114	90	18	2	0	0	21	18	2	0	0	200	363	222	585	22	250	16	18	291	17	—	—	—	—	—	—
2026	18	ROK	FCL Blue Jays	—	48	41	9	1	1	0	7	15	0	0	1	220	333	293	626	73	346	31	15	294	14	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Blue Jays Blue	—	114	97	12	1	0	0	14	23	2	0	0	124	248	134	382	10	157	20	12	193	17	—	—	—	—	—	—
2026	18	ROK MLE	FCL Blue Jays	—	48	44	7	1	1	0	4	22	0	0	1	159	229	227	456	68	278	46	8	189	14	—	—	—	—	—	—
2025	17	ROK MLE	DSL Blue Jays Blue	—	114	97	12	1	0	0	14	23	2	0	0	124	248	134	382	10	162	20	12	193	17	—	—	—	—	—	—
2025	17	ROK RAW	DSL Blue Jays Blue	—	114	90	18	2	0	0	21	18	2	0	0	200	363	222	585	22	250	16	18	291	17	—	—	—	—	—	—
2026	18	ROK MLE	FCL Blue Jays	—	48	44	7	1	1	0	4	22	0	0	1	159	229	227	456	68	318	46	8	189	14	—	—	—	—	—	—
2026	18	ROK RAW	FCL Blue Jays	—	48	41	9	1	1	0	7	15	0	0	1	220	333	293	626	73	346	31	15	294	14	—	—	—	—	—	—
2025	17	ROK MLE	DSL Blue Jays Blue	—	114	97	12	1	0	0	14	23	2	0	0	124	248	134	382	10	157	20	12	193	17	—	—	—	—	—	—
2026	18	ROK MLE	FCL Blue Jays	—	48	44	7	1	1	0	4	22	0	0	1	159	229	227	456	68	278	46	8	189	14	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Blue Jays Blue	—	114	97	12	1	0	0	14	23	2	0	0	124	248	134	382	10	157	20	12	193	17	—	—	—	—	—	—
2026	18	ROK MLE	FCL Blue Jays	—	48	44	7	1	1	0	4	22	0	0	1	159	229	227	456	68	278	46	8	189	14	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	TOR	0%	158	143	29	4	1	1	13	43	1	1	1	208	282	276	558	69	287	27	8	257	60	-7	-0	+0	+3	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	TOR	34%	145	131	27	4	1	1	12	39	1	1	1	212	287	291	579	79	289	27	8	266	66	-6	-0	+0	+3	+3	-0.0
2029	21	MLB MLE	TOR	48%	289	259	55	8	2	3	25	77	3	3	1	216	292	304	596	88	290	27	9	273	71	-10	+0	+0	+5	+6	0.2
2030	22	MLB MLE	TOR	54%	397	356	78	12	3	5	34	104	4	4	2	220	295	315	611	96	291	26	9	278	75	-12	+0	+0	+7	+9	0.4
2031	23	MLB MLE	TOR	57%	470	422	92	14	3	7	40	122	5	5	2	223	298	325	623	103	292	26	9	283	78	-12	+0	+0	+8	+10	0.6
2032	24	MLB MLE	TOR	57%	517	462	104	16	4	9	44	133	6	5	3	225	301	334	634	108	293	26	9	287	81	-12	-0	+0	+9	+11	0.9
2033	25	MLB MLE	TOR	57%	520	464	105	16	4	9	45	134	6	5	3	226	301	337	638	111	293	26	9	289	82	-11	-0	+0	+9	+11	0.9
2034	26	MLB MLE	TOR	56%	520	464	106	16	4	10	45	134	6	5	3	226	302	338	640	112	293	26	9	290	82	-11	-0	+0	+9	+11	0.9
2035	27	MLB MLE	TOR	55%	520	465	105	16	4	9	45	134	5	4	2	225	301	336	636	111	293	26	9	288	81	-12	+0	+0	+9	+11	0.9
2036	28	MLB MLE	TOR	55%	520	465	104	16	4	9	45	136	5	3	2	223	298	331	629	108	292	26	9	285	79	-13	-0	-1	+9	+11	0.7
2037	29	MLB MLE	TOR	53%	520	465	103	16	3	9	45	137	5	1	2	221	296	325	620	104	290	26	9	282	77	-14	-1	-1	+9	+11	0.4
2038	30	MLB MLE	TOR	53%	520	466	101	15	3	8	44	139	5	1	2	217	292	317	608	99	288	27	8	277	74	-16	-1	-2	+9	+11	0.1
2039	31	MLB MLE	TOR	57%	504	452	96	14	3	7	42	136	5	1	1	213	287	307	593	93	285	27	8	271	69	-18	-0	-3	+9	+11	-0.1
2028	20	MLB CTX	TOR	34%	50	45	8	1	0	0	4	13	1	0	0	213	288	293	581	79	291	26	8	267	66	-2	+0	+0	+1	+1	-0.0
2029	21	MLB CTX	TOR	48%	140	126	27	4	1	2	12	37	1	1	1	217	293	306	598	89	292	26	9	274	71	-5	-0	+0	+3	+3	0.0
2030	22	MLB CTX	TOR	54%	215	193	42	6	2	3	18	56	2	2	1	221	296	317	613	96	293	26	8	279	75	-7	+0	+0	+4	+5	0.2
2031	23	MLB CTX	TOR	57%	266	238	53	8	2	4	23	69	3	3	1	224	299	327	626	103	294	26	9	284	78	-7	+0	+0	+5	+6	0.4
2032	24	MLB CTX	TOR	57%	292	262	59	9	2	5	25	75	3	3	1	226	302	335	637	109	295	26	9	288	81	-7	+0	+0	+5	+6	0.5
2033	25	MLB CTX	TOR	57%	294	264	59	9	2	5	25	76	3	3	1	227	302	338	640	111	295	26	9	290	82	-6	+0	+0	+5	+6	0.5
2034	26	MLB CTX	TOR	56%	294	264	59	9	2	5	25	76	3	3	1	227	302	340	642	113	295	26	9	291	82	-6	+0	+0	+5	+6	0.6
2035	27	MLB CTX	TOR	55%	288	258	58	9	2	5	25	74	3	2	1	226	301	337	639	111	294	26	9	289	81	-6	+0	+0	+5	+6	0.5
2036	28	MLB CTX	TOR	55%	285	255	57	9	2	5	25	74	3	1	1	224	299	332	632	108	293	26	9	286	79	-7	-0	-0	+5	+6	0.4
2037	29	MLB CTX	TOR	53%	278	249	55	8	2	5	24	73	3	1	1	221	296	326	622	104	291	26	9	283	77	-8	-0	-1	+5	+6	0.2
2038	30	MLB CTX	TOR	53%	274	246	54	8	2	4	23	73	3	1	1	218	293	318	611	100	289	27	8	278	74	-9	-0	-1	+5	+6	0.1
2039	31	MLB CTX	TOR	57%	285	256	55	8	2	4	24	77	3	0	1	214	288	308	596	94	286	27	8	272	69	-10	-0	-2	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2961	2656	586	88	21	47	253	773	31	20	11	221	296	323	619	102	292	26	9	283	75	-80	-0	-4	+53	+64	3.3
/ 162G	—	A+C		—	650	583	128	19	5	10	56	170	7	4	2	220	296	321	616	101	291	26	9	283	75	-18	-0	-1	+12	+14	0.7
Career	—	MLE		—	5658	5061	1104	166	39	86	489	1485	58	38	25	218	294	317	612	99	289	26	9	279	75	-151	-2	-7	+98	+119	5.8
/ 162G	—	MLE		—	650	581	126	19	4	10	56	171	7	4	3	217	293	315	608	98	288	26	9	279	75	-18	-0	-1	+12	+14	0.7

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
#2Jacob 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
#3Brian Schneider'00-'12 * career totals — 12 seasons, 3,570 PA	5.4	3,570	67	4	238*	309*	359*	+63	-0	9.0	8.8
/162	664	12	1	+11.7	-0.1	1.7	pk7: 9
#4Cy Perkins'15-'34 * career totals — 11 seasons, 4,015 PA	6.0	4,015	30	18	231*	292*	368*	+71	-3	5.9	7.1
/162	664	5	3	+11.8	-0.5	1.0	pk7: 8
#5Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#6Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.5	3,015	48	21	222	294	326	+54	+28	5.3	4.8
/162	664	11	5	+11.9	+6.2	1.2	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
Keegan Pieternella (OGILVIE)	19	—	—	—	—	206/280/274	68	287	0	0	27%	8%	60	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Marquez 2017 · A	19	39	35→50	43→50	39	188/235/250	62	260	2	6	28%	5%	36	-3.3	206/251/301	95	277	7	6	27%	5%	55	-2.0	193/242/300	108	259	10	7	29%	5%	48	-0.8
✕Blake Perkins 2016 · A	19	38→48	36→50	43→55	39	186/232/252	66	259	4	7	29%	5%	36	-3.4	206/267/282	76	290	5	13	29%	7%	57	-1.8	227/310/355	127	301	12	25	27%	10%	89	+0.4
✕Luis Barrera 2015 · A	19	34→44	38→45	49→50	47	168/236/246	78	214	5	7	24%	7%	37	-3.3	204/248/281	77	285	4	8	28%	5%	48	-2.5	248/293/357	110	319	5	17	23%	6%	80	-0.1
✕Leandro Pineda 2021 · A	19	36→46	35→50	44→45	45	173/242/228	54	227	3	6	24%	7%	36	-3.4	177/254/265	88	265	6	6	33%	8%	49	-2.4	218/291/356	137	276	14	5	25%	7%	81	-0.0
✕Shed Long Jr. 2015 · A	19	39→49	36→50	46→50	39	189/234/250	60	263	3	6	29%	5%	36	-3.3	227/283/347	120	309	12	9	29%	7%	78	-0.3	238/300/387	148	320	15	11	29%	7%	91	+0.5
✕Nomar Fana 2022 · A	19	39	37→50	48→50	43	187/246/258	71	263	4	9	29%	7%	43	-2.8	186/258/278	92	284	8	11	34%	9%	53	-2.1	169/252/282	112	253	13	14	36%	10%	50	-0.7
✕Shane Mardirosian 2015 · A	19	37→40	35→40	47→45	42	177/239/240	64	244	2	9	27%	6%	37	-3.3	199/249/272	73	277	4	10	28%	5%	47	-2.5	198/248/269	71	276	4	9	28%	5%	44	-1.2
✕Ruben Santana 2017 · A	19	41	34→40	43→55	43	192/238/246	54	244	2	8	22%	5%	36	-3.3	209/269/281	72	248	1	11	15%	7%	57	-1.8	197/264/265	68	240	1	14	17%	7%	50	-0.7
✕Carlos Soler 2018 · A	18	37	36→45	45	43	177/243/251	73	245	2	8	27%	6%	41	-3.0	213/269/300	87	310	3	8	30%	6%	61	-1.5	239/291/346	107	354	2	8	31%	5%	78	-0.1
✕Emilio King 2009 · A	19	36	36→45	43→40	43	174/237/239	65	223	4	6	23%	6%	36	-3.3	193/257/273	80	275	4	6	30%	5%	51	-2.2	204/256/296	92	295	6	4	31%	4%	53	-0.9
✕Yonathan Perlaza 2018 · A	19	38→48	36→55	47→50	39	185/227/255	69	258	3	12	29%	5%	34	-3.5	211/257/282	71	313	4	9	32%	6%	52	-2.2	241/313/415	174	310	17	12	27%	9%	101	+1.4
✕Ronnierd Garcia 2012 · A	19	36	36→45	43→40	40	177/234/239	62	234	4	4	26%	5%	34	-3.5	193/250/279	86	278	6	4	31%	6%	50	-2.3	189/250/284	95	283	8	2	34%	6%	48	-0.8
✕Fidel Castro 2018 · A	19	37	36→50	46→45	41	179/243/246	67	270	3	6	33%	7%	40	-3.1	188/257/298	110	336	8	8	43%	7%	57	-1.8	164/239/288	124	322	10	8	48%	7%	45	-0.8
✕Daniel Mateo 2011 · A	19	37→46	38→40	52→45	40	178/223/261	83	238	4	10	26%	5%	35	-3.4	217/258/309	92	286	7	4	25%	5%	59	-1.7	220/264/315	95	283	8	1	24%	5%	59	-1.2
✕Daniel Montano 2018 · A	19	34→44	39→45	46→50	45	171/236/261	90	223	6	9	25%	7%	40	-3.0	177/222/264	87	248	6	10	30%	5%	35	-3.4	213/289/324	112	322	9	6	34%	9%	73	-0.5
✕Robert Perez Jr. 2019 · A	19	34→44	39→50	42→45	41	172/238/252	80	245	7	6	31%	7%	40	-3.1	207/269/322	115	312	12	4	35%	6%	68	-1.0	219/291/377	157	314	20	2	35%	6%	87	+0.3
✕Luilly Baez 2008 · A	19	39	34→40	44→40	46	182/251/236	54	255	2	5	27%	8%	40	-3.0	197/283/274	77	252	4	5	21%	10%	61	-1.5	190/297/277	88	224	5	2	16%	13%	65	-0.5
✕Rey Navarro 2008 · A	18	42→51	35→45	46→50	36	204/233/253	50	275	3	7	27%	3%	36	-3.4	206/242/276	70	283	3	9	27%	4%	45	-2.7	242/276/357	115	268	11	5	14%	4%	74	-0.4
✕Juan Kelly 2013 · A	19	37→47	35→45	47→45	48	176/243/232	56	227	2	6	23%	8%	36	-3.3	191/269/255	64	241	3	8	20%	9%	52	-2.2	215/276/341	126	296	11	3	30%	7%	73	-0.5
●Zoilo Almonte 2008 · A	19	38→48	39→50	44→50	41	189/238/276	87	249	7	5	27%	6%	44	-2.8	206/249/309	103	278	10	7	28%	5%	55	-1.9	257/304/400	143	326	16	13	25%	6%	95	+0.7

Keegan Pieternella

Career Stats + Projections

Career Comps

Career Path Comps