Keegan Pieternella

Keegan PieternellaC DSL Blue Jays Blue

Age 18 S/R 5'8" / 169 lbs ROK HR +12%BB +4% Svc 0.0 · Ctrl thru 2037 peak 3.7 · 2034

wRC+†57

AVG/OBP/SLG.204 / .270 / .295

PA97

HR1

K%30

BB%7

MLB%0%

trajectory · 10 yrs

3.7peak

2034

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	Ext / FA-deal	$0.9M	+3.5	$33M	+$33M
2033	Ext / FA-deal	$1.0M	+3.6	$35M	+$34M
2034	Ext / FA-deal	$1.0M	+3.7	$37M	+$37M
2035	Ext / FA-deal	$7M	+3.7	$39M	+$31M
2036	Ext / FA-deal	$12M	+3.5	$38M	+$26M
2037	Ext / FA-deal	$16M	+3.4	$38M	+$21M
Totals		$38M		$220M	+$182M

Career Projections (MLE)

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	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
2025	17	ROK	DSL Blue Jays Blue	114	98	13	1	0	0	13	27	2	0	0	.133	.248	.143	.391	.010	.183	24	11	.193	6	-12	+0	+0	+2	+3	-0.7
▸ 2026 Season
2026	18	MLB	TOR	97	89	18	3	1	1	7	29	1	1	0	.202	.268	.292	.560	.090	.289	30	7	.259	57	-5	+0	+0	+2	+3	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	19	MLB 11%	TOR	188	168	39	7	1	4	16	53	2	4	1	.232	.306	.357	.664	.125	.304	28	9	.294	83	-4	+0	+0	+3	+5	0.6
2028	20	MLB 28%	TOR	328	292	69	12	2	8	29	89	4	8	2	.236	.314	.373	.687	.137	.309	27	9	.308	94	-2	+1	+0	+6	+9	1.4
2029	21	MLB 48%	TOR	435	385	93	16	3	11	41	115	6	12	3	.242	.324	.384	.708	.143	.310	26	9	.316	100	+0	+1	+0	+8	+12	2.2
2030	22	MLB 65%	TOR	510	449	109	18	3	14	49	132	7	14	3	.243	.327	.390	.716	.147	.310	26	10	.323	106	+3	+2	+0	+9	+14	2.9
2031	23	MLB 86%	TOR	520	456	114	19	4	16	52	132	7	15	3	.250	.336	.414	.750	.164	.310	25	10	.330	110	+6	+2	+0	+9	+15	3.3
2032	24	MLB	TOR	520	455	114	19	4	16	53	130	7	15	3	.251	.338	.415	.753	.165	.311	25	10	.334	114	+8	+2	+0	+9	+15	3.5
2033	25	MLB	TOR	520	454	114	19	4	16	54	130	7	15	3	.251	.340	.416	.756	.165	.311	25	10	.337	116	+9	+2	+0	+9	+15	3.6
2034	26	MLB	TOR	520	453	115	19	4	17	55	130	7	15	3	.254	.344	.426	.770	.172	.312	25	11	.339	117	+10	+2	+0	+9	+15	3.7
2035	27	MLB	TOR	520	452	114	19	3	17	56	130	7	15	3	.252	.344	.420	.764	.168	.312	25	11	.339	117	+10	+2	+0	+9	+15	3.7
2036	28	MLB	TOR	520	452	112	19	3	16	56	131	7	14	3	.248	.340	.409	.749	.162	.312	25	11	.338	116	+10	+2	-1	+9	+15	3.5
2037	29	MLB	TOR	520	451	111	18	3	16	57	133	7	13	2	.246	.340	.406	.746	.160	.311	26	11	.335	115	+9	+2	-1	+9	+15	3.4
2038	30	MLB	TOR	520	451	110	18	3	16	57	134	7	12	2	.244	.338	.404	.741	.160	.310	26	11	.332	112	+7	+2	-2	+9	+15	3.1
2039	31	MLB	TOR	504	437	106	17	3	15	55	132	7	9	1	.243	.337	.398	.735	.156	.308	26	11	.329	110	+5	+1	-3	+9	+14	2.8
2040	32	MLB	TOR	489	426	101	16	3	14	53	131	7	7	0	.237	.331	.387	.719	.150	.307	27	11	.324	106	+3	+1	-4	+9	+14	2.4
2041	33	MLB	TOR	473	413	96	15	3	13	51	130	6	5	0	.232	.326	.378	.703	.145	.305	27	11	.318	102	+1	+1	-4	+8	+13	2.0
2042	34	MLB	TOR	433	378	87	14	3	11	46	123	6	3	0	.230	.323	.370	.694	.140	.304	28	11	.312	97	-2	+1	-5	+8	+12	1.4
2043	35	MLB	TOR	371	324	72	11	2	9	39	109	5	2	0	.222	.315	.352	.667	.130	.302	29	11	.304	91	-4	+0	-6	+7	+11	0.8
2044	36	MLB	TOR	308	269	59	9	2	7	32	94	4	1	0	.219	.311	.346	.657	.126	.299	31	10	.295	84	-6	+0	-6	+6	+9	0.3
2045	37	MLB	TOR	245	215	45	7	1	5	25	77	3	1	0	.209	.300	.321	.621	.112	.295	31	10	.285	77	-7	+0	-7	+4	+7	-0.2
2046	38	MLB	TOR	182	160	32	5	1	3	18	58	2	0	0	.200	.289	.300	.589	.100	.290	32	10	.275	69	-6	+0	-8	+3	+5	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			8837	7727	1843	301	56	245	914	2349	118	181	32	.239	.328	.387	.715	.149	.308	27	10	.321	104	+36	+23	-46	+158	+250	43.0
/ 162G	—			650	568	135	22	4	18	67	173	9	13	2	.238	.327	.386	.713	.148	.308	27	10	.321	104	+3	+2	-3	+12	+18	3.2

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2025	17	ROK	DSL Blue Jays Blue	114	90	18	2	0	0	21	18	2	0	0	.200	.363	.222	.585	.022	.250	16	18	.291	81	-2	+0	—	—	+3	0.1

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
Keegan Pieternella (OGILVIE)	18	—	—	—	—	.204/.270/.295	.091	.289	1	1	30%	7%	57	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Yonathan Perlaza 2017 · A	18	42→52	39→60	48→50	39	.202/.246/.290	.088	.283	6	14	30%	5%	43	-2.2	.205/.246/.278	.073	.299	4	11	31%	5%	40	-2.4	.235/.307/.417	.182	.303	19	12	28%	9%	100	+1.6
●César Hernández 2008 · A	18	44→54	39→45	51→55	41	.212/.255/.308	.097	.268	5	8	23%	4%	52	-1.6	.222/.280/.298	.076	.270	3	15	18%	7%	60	-1.0	.277/.367/.382	.105	.344	8	16	20%	12%	114	+2.9
●Marwin Gonzalez 2007 · A	18	39→49	41→55	42→50	37	.195/.232/.290	.096	.264	9	5	30%	4%	38	-2.6	.205/.245/.289	.084	.267	5	6	24%	5%	43	-2.2	.272/.342/.450	.178	.320	21	4	21%	9%	121	+2.7
✕Dalton Pompey 2011 · A	18	42→52	42→45	50→55	40	.207/.261/.307	.100	.284	10	11	30%	6%	55	-1.4	.201/.270/.294	.093	.283	8	18	29%	8%	56	-1.3	.253/.315/.362	.109	.325	7	28	23%	8%	88	+0.8
★Carlos Correa 2013 · A	18	42→52	40→60	51→55	37	.205/.244/.299	.094	.289	6	8	31%	5%	45	-2.1	.257/.317/.390	.133	.320	11	13	22%	7%	100	+1.7	.284/.360/.488	.204	.328	24	14	20%	10%	137	+4.4
●Eduardo Escobar 2007 · A	18	43→53	35→60	45→50	43	.202/.257/.262	.060	.276	2	10	26%	6%	41	-2.3	.219/.259/.270	.051	.298	2	12	26%	5%	43	-2.2	.260/.320/.471	.211	.286	26	4	19%	7%	117	+2.9
●Luis Rengifo 2015 · A	18	38→48	36→50	48→55	48	.181/.257/.249	.067	.242	3	9	25%	8%	39	-2.5	.215/.272/.301	.086	.272	5	18	22%	6%	58	-1.2	.267/.318/.414	.147	.301	17	16	17%	6%	105	+1.6
●Wilin Rosario 2007 · A	18	42→52	38→60	47→45	36	.201/.246/.271	.071	.298	6	7	34%	5%	39	-2.5	.204/.247/.300	.096	.302	9	5	34%	5%	47	-1.9	.265/.302/.457	.192	.301	26	4	21%	5%	107	+1.6
✕Thairo Estrada 2014 · A	18	44→54	39→50	48→55	41	.211/.266/.306	.095	.271	5	9	23%	5%	56	-1.3	.222/.272/.315	.093	.283	6	9	23%	5%	61	-1.0	.270/.326/.420	.150	.314	17	21	19%	5%	108	+1.8
●Dylan Carlson 2017 · A	18	41→51	40→55	48→50	36	.196/.244/.290	.094	.305	6	7	36%	6%	43	-2.2	.207/.277/.319	.112	.286	10	7	29%	8%	66	-0.6	.242/.327/.396	.154	.296	14	4	22%	9%	105	+1.6
●Anthony Santander 2013 · A	18	45→49	42→65	47→45	39	.217/.275/.326	.110	.305	9	8	31%	6%	66	-0.6	.201/.254/.302	.101	.269	9	7	27%	5%	51	-1.7	.242/.317/.473	.231	.257	31	2	20%	9%	120	+3.4
●Jackson Chourio 2022 · A	18	44→54	42→55	49→55	45	.217/.279/.319	.102	.277	10	10	25%	7%	66	-0.6	.233/.280/.389	.156	.311	18	19	30%	6%	85	+0.7	.261/.307/.430	.168	.314	19	26	23%	6%	101	+1.8
✕Josue Briceño 2023 · A	18	39→41	42→60	44→40	38	.195/.242/.294	.099	.280	10	5	33%	6%	43	-2.2	.222/.286/.353	.131	.282	14	4	25%	8%	78	+0.2	.228/.304/.389	.161	.273	19	2	23%	9%	94	+0.6
●Maikel Franco 2011 · A	18	39→49	38→55	49→40	39	.190/.242/.270	.080	.272	5	4	31%	5%	37	-2.6	.217/.256/.335	.118	.271	12	3	24%	4%	60	-1.0	.263/.299/.434	.171	.290	19	2	17%	4%	100	+1.6
✕Yolmer Sánchez 2010 · A	18	44→54	37→50	50	44	.205/.279/.279	.074	.312	4	8	33%	8%	56	-1.3	.229/.299/.292	.063	.297	3	10	22%	8%	67	-0.5	.248/.310/.361	.113	.309	7	9	21%	7%	87	+0.8
●Tim Beckham 2009 · A	19	42→52	38→55	49→50	38	.202/.248/.282	.080	.290	5	7	31%	5%	43	-2.2	.219/.267/.307	.088	.310	5	10	29%	5%	57	-1.2	.248/.301/.421	.173	.319	22	4	28%	6%	100	+1.3
●Gleyber Torres 2015 · A	18	46→54	37→60	46→50	46	.215/.278/.292	.076	.296	4	10	27%	8%	58	-1.2	.231/.286/.324	.093	.321	6	13	28%	7%	69	-0.4	.258/.343/.395	.138	.293	16	6	17%	11%	111	+2.7
✕Jhonny Pereda 2014 · A	18	39→48	37→45	47→40	44	.190/.244/.262	.072	.250	5	4	25%	6%	36	-2.7	.193/.250/.256	.063	.231	4	3	17%	6%	37	-2.7	.276/.346/.381	.105	.365	9	0	25%	9%	105	+0.9
●José Fermín 2017 · A	18	43→51	38→45	48→55	44	.204/.260/.288	.084	.278	4	8	27%	7%	50	-1.8	.202/.252/.277	.075	.241	4	10	17%	5%	43	-2.2	.241/.336/.380	.139	.254	14	26	11%	10%	103	+0.9
✕Adalberto Mondesi 2014 · A	19	42→52	38→60	51→65	36	.205/.241/.276	.071	.288	6	13	30%	4%	37	-2.6	.198/.229/.299	.101	.284	9	19	32%	4%	39	-2.5	.248/.279/.427	.179	.328	19	49	30%	4%	92	+0.9

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)