Keegan Pieternella

Keegan PieternellaC FCL Blue Jays

Age 18 S/R 5'8" / 169 lbs ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION48 act + 8 ros · stats below = ROS only

showingROS

wRC+†58

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

PA8

HR0

K%25

BB%12

BABIP292

ISO72

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$21M ctrl surplus

Tools · Contract

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
2026	MiLB	still in minors · estimated debut 2032
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	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.1M
2036	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$7M	+$3M

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. Catcher framing: only 2026 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	83	-2	+0	—	—	+2	0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Blue Jays Blue	—	114	98	13	1	0	0	13	27	2	0	0	133	248	143	391	10	188	24	11	198	20	-11	+0	—	—	+2	-0.9
2025	17	ROK MLE	DSL Blue Jays Blue	—	114	98	13	1	0	0	13	27	2	0	0	133	248	143	391	10	183	24	11	198	20	—	—	—	—	—	—
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	20	—	—	—	—	—	—
2025	17	ROK MLE	DSL Blue Jays Blue	—	114	98	13	1	0	0	13	27	2	0	0	133	248	143	391	10	188	24	11	198	20	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Blue Jays Blue	—	114	98	13	1	0	0	13	27	2	0	0	133	248	143	391	10	188	24	11	198	20	—	—	—	—	—	—
YTD	18	ROK MLE	TOR	—	48	44	7	1	1	0	4	22	0	0	1	159	229	227	456	68	318	46	8	187	13	-5	-0	+0	+1	+1	-0.4
▸ 2026 season
YTD	18	ROK RAW	TOR	—	48	41	9	1	1	0	7	15	0	0	1	220	333	293	626	73	346	31	15	294	13	—	—	—	—	—	—
ROS	18	ROK MLE	TOR	0%	8	7	1	0	0	0	1	2	0	0	0	143	250	143	393		290	25	12	254	58	-0	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	TOR	—	56	51	8	1	1	0	5	24	0	0	1	157	232	216	448	59	296	43	9	197	19	-5	-0	+0	+1	+1	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	TOR	34%	188	168	35	5	1	2	16	53	2	1	1	208	285	286	571	77	290	28	9	265	65	-8	-0	+0	+3	+4	-0.1
2028	20	MLB MLE	TOR	48%	328	293	62	10	2	4	28	91	4	3	1	212	289	300	590	89	292	28	9	274	72	-11	+0	+0	+6	+7	0.2
2029	21	MLB MLE	TOR	54%	435	390	85	13	3	7	37	119	5	3	2	218	294	321	614	103	293	27	9	281	76	-12	-0	+0	+8	+9	0.5
2030	22	MLB MLE	TOR	57%	510	456	102	16	4	9	43	138	6	4	2	224	299	336	635	112	294	27	8	285	79	-13	+0	+0	+9	+11	0.8
2031	23	MLB MLE	TOR	58%	520	465	103	16	4	9	44	140	6	4	2	222	297	331	628	110	295	27	8	288	81	-12	+0	+0	+9	+11	0.9
2032	24	MLB MLE	TOR	57%	520	464	104	16	4	10	45	140	6	4	2	224	301	341	641	116	296	27	9	290	82	-11	+0	+0	+9	+11	1.0
2033	25	MLB MLE	TOR	57%	520	464	104	16	4	10	45	139	6	4	2	224	301	341	641	116	296	27	9	291	83	-10	+0	+0	+9	+11	1.0
2034	26	MLB MLE	TOR	57%	520	463	105	16	4	11	45	139	7	4	2	227	305	350	655	123	296	27	9	292	84	-10	+0	+0	+9	+11	1.1
2035	27	MLB MLE	TOR	55%	520	463	105	16	4	11	45	140	7	4	2	227	305	350	655	123	295	27	9	293	84	-10	+0	+0	+9	+11	1.1
2036	28	MLB MLE	TOR	55%	520	463	104	16	4	10	46	140	6	4	2	225	303	341	644	117	295	27	9	292	83	-10	+0	-1	+9	+11	1.0
2037	29	MLB MLE	TOR	53%	520	463	103	16	4	10	46	141	6	4	2	222	301	339	640	117	294	27	9	290	82	-11	+0	-1	+9	+11	0.8
2038	30	MLB MLE	TOR	53%	520	463	102	16	3	10	46	143	6	3	2	220	299	333	632	112	293	28	9	287	80	-12	-0	-2	+9	+11	0.6
2039	31	MLB MLE	TOR	52%	504	448	97	15	3	9	45	140	6	3	1	217	297	324	620	107	290	28	9	283	77	-14	+0	-3	+9	+11	0.4
2040	32	MLB MLE	TOR	52%	489	437	93	14	3	8	43	138	6	2	1	213	292	314	606	101	287	28	9	277	74	-15	+0	-4	+9	+11	0.1
2041	33	MLB MLE	TOR	56%	473	423	89	13	3	8	42	136	5	2	1	210	289	312	601	102	283	29	9	271	69	-17	+0	-4	+8	+10	-0.3
2027	19	MLB CTX	TOR	34%	65	59	13	2	1	1	5	18	1	1	0	220	292	339	631	119	292	28	8	258	65	-3	+0	+0	+1	+1	0.0
2028	20	MLB CTX	TOR	48%	159	143	31	5	1	2	13	44	2	1	1	217	291	308	599	91	293	28	8	267	72	-5	-0	+0	+3	+3	0.1
2029	21	MLB CTX	TOR	54%	236	211	47	7	2	4	20	64	3	2	1	223	299	332	631	109	294	27	8	273	76	-7	+0	+0	+4	+5	0.3
2030	22	MLB CTX	TOR	57%	289	258	57	9	2	5	25	78	4	2	1	221	300	329	629	109	295	27	9	277	79	-7	+0	+0	+5	+6	0.4
2031	23	MLB CTX	TOR	58%	299	267	59	9	2	5	26	80	4	2	1	221	300	326	626	105	296	27	9	280	81	-7	+0	+0	+5	+6	0.5
2032	24	MLB CTX	TOR	57%	296	265	60	9	2	6	25	79	4	2	1	226	303	343	646	117	297	27	8	282	82	-6	+0	+0	+5	+6	0.6
2033	25	MLB CTX	TOR	57%	295	264	59	9	2	6	25	79	4	2	1	223	300	341	641	117	297	27	8	283	83	-6	+0	+0	+5	+6	0.6
2034	26	MLB CTX	TOR	57%	294	263	59	9	2	6	25	79	4	2	1	224	301	342	644	118	297	27	9	284	84	-6	+0	+0	+5	+6	0.6
2035	27	MLB CTX	TOR	55%	289	258	58	9	2	6	25	78	4	2	1	225	303	345	648	120	297	27	9	284	84	-5	+0	+0	+5	+6	0.6
2036	28	MLB CTX	TOR	55%	286	255	58	9	2	6	25	77	4	2	1	227	306	349	655	122	296	27	9	283	83	-6	+0	-0	+5	+6	0.5
2037	29	MLB CTX	TOR	53%	278	248	54	8	2	5	25	76	3	2	1	218	297	327	624	109	296	27	9	282	82	-6	+0	-1	+5	+6	0.4
2038	30	MLB CTX	TOR	53%	274	245	54	8	2	5	24	75	3	2	1	220	298	331	628	110	294	27	9	279	80	-6	+0	-1	+5	+6	0.3
2039	31	MLB CTX	TOR	52%	263	235	52	8	2	5	23	73	3	1	1	221	299	336	635	115	292	28	9	275	77	-7	-0	-1	+5	+6	0.2
2040	32	MLB CTX	TOR	52%	254	227	48	7	2	4	22	72	3	1	1	211	290	313	602	101	289	28	9	270	74	-8	-0	-2	+5	+6	0.0
2041	33	MLB CTX	TOR	56%	265	237	49	7	2	4	23	76	3	1	0	207	285	304	589	97	285	29	9	263	69	-10	+0	-2	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3842	3435	758	115	28	70	331	1048	49	25	13	221	298	332	630	111	295	27	9	278	78	-94	-0	-8	+69	+83	5.0
/ 162G	—	A+C		—	650	581	128	19	5	12	56	177	8	4	2	220	297	332	629	112	294	27	9	278	78	-16	-0	-1	+12	+14	0.9
Career	—	MLE		—	7209	6428	1407	215	50	128	630	1966	86	49	25	219	297	328	625	109	292	27	9	284	78	-177	-0	-15	+127	+154	9.1
/ 162G	—	MLE		—	650	580	127	19	5	12	57	177	8	4	2	219	298	331	629	112	291	27	9	284	78	-16	-0	-1	+12	+14	0.8

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
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Dioner Navarrolast yr '16 career totals — 12 seasons, 3,544 PA	5.3	3,544	77	14	250	308	370	+63	-1	12.1	11.6
/162	664	14	3	+11.9	-0.2	2.3	pk7: 11
#4Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#5Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.9	3,937	71	28	221	295	331	+70	+36	7.8	6.5
/162	664	12	5	+11.9	+6.1	1.3	pk7: 5
#6Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6

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)	18	—	—	—	—	202/274/274	72	290	1	1	29%	8%	58	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jose Perez 2022 · A	18	41	38→40	42→45	44	193/266/276	83	281	5	6	31%	8%	55	-1.9	200/299/287	87	269	5	7	25%	11%	71	-0.8	193/314/286	93	255	5	7	23%	13%	76	-0.1
✕Enderson Delgado 2023 · A	18	41	35→45	45→30	42	194/262/251	57	270	2	6	27%	6%	49	-2.4	176/258/262	86	262	7	4	33%	7%	51	-2.3	175/262/263	87	248	9	2	30%	7%	50	-0.7
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2
✕Riley Unroe 2014 · A	18	42→48	37→45	51→55	47	196/275/269	72	289	3	9	31%	9%	57	-1.8	195/258/260	65	272	4	9	28%	7%	48	-2.5	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Alejandro Flores 2014 · A	18	41	37→50	48→40	43	196/253/264	68	270	4	7	28%	7%	47	-2.5	190/255/273	83	275	7	6	31%	8%	51	-2.3	197/254/327	129	264	12	3	29%	6%	59	-0.6
✕Jose Herrera 2015 · A	18	42	34→40	49→40	44	196/267/251	55	284	2	4	30%	8%	50	-2.3	208/268/285	77	270	6	3	24%	7%	58	-1.7	210/292/298	88	277	8	3	26%	10%	69	-0.5
✕Chace Numata 2011 · A	18	44	36→40	47→40	43	205/271/275	70	308	4	7	32%	8%	57	-1.8	209/270/283	74	274	5	7	24%	7%	58	-1.7	248/299/321	72	292	3	2	15%	6%	75	-0.3
✕Carlos Ramirez 2007 · A	18	39	36→40	44→45	46	187/255/250	63	262	3	6	28%	8%	45	-2.7	221/282/291	70	277	2	5	20%	6%	64	-1.3	241/302/311	71	291	2	4	17%	6%	75	-0.2
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕Jon Del Campo 2007 · A	19	43	38→45	45→55	46	205/268/282	77	271	6	5	26%	8%	57	-1.8	205/257/287	82	297	4	5	30%	6%	53	-2.1	267/298/376	109	332	10	18	22%	3%	90	+0.3
✕Ronald Hernandez 2022 · A	18	40→47	39→40	50	48	191/272/280	89	263	6	6	28%	9%	59	-1.6	199/283/283	84	294	7	6	32%	9%	64	-1.3	199/287/276	77	306	7	5	34%	10%	62	-0.7
✕Francis Grullon 2019 · A	18	39	35→45	47→55	45	184/247/246	62	246	2	9	25%	7%	41	-3.0	202/273/292	90	249	7	13	20%	8%	62	-1.4	191/274/289	97	228	9	18	19%	9%	61	-0.4
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Starlin Aguilar 2022 · A	18	41	38→50	42→45	45	195/267/273	78	268	5	3	28%	8%	55	-1.9	200/250/267	67	295	3	4	31%	5%	47	-2.6	182/231/281	99	278	10	2	37%	5%	40	-1.0
✕David García 2018 · A	18	38	36→40	49→30	41	182/250/243	61	270	3	4	32%	7%	42	-2.9	201/254/274	73	292	4	5	31%	6%	50	-2.3	188/283/256	67	278	4	2	30%	9%	56	-0.8
✕Alixon Suarez 2012 · A	18	39	36→45	43→40	48	187/274/249	62	250	4	3	25%	8%	53	-2.1	195/268/275	80	256	5	4	24%	7%	57	-1.8	183/257/267	85	235	5	2	23%	7%	49	-0.8
✕Omar Alfonzo 2023 · A	19	36→40	37→45	48→40	48	173/263/240	67	258	5	3	32%	10%	47	-2.5	205/289/309	104	317	11	4	35%	10%	72	-0.7	200/285/310	110	312	13	2	37%	10%	69	-0.6
✕Ronaldo Hernández 2016 · A	18	44	37→50	50→45	43	208/271/281	73	270	4	6	23%	6%	58	-1.7	242/287/359	117	276	12	5	17%	5%	82	-0.0	243/286/377	134	275	16	5	18%	5%	84	+0.1
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3
✕Rodolfo Durán 2016 · A	18	39	36→50	45	37	189/231/257	68	267	3	6	30%	5%	37	-3.3	211/249/327	116	282	13	5	29%	5%	60	-1.6	225/268/375	150	277	17	3	25%	5%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps