Paul DeJong — OGILVIE

Paul DeJong3B Scranton/Wilkes-Barre RailRiders

Age 32 R/R 6'0" / 205 lbs AAA HR +8%BB +8% Svc 9.000 · Ctrl thru 2026 peak 1.1 · 2026

wRC+†vL 7483vR 98

AVG/OBP/SLG.210 / .266 / .380

PA381

HR16

K%33

BB%6

xwOBA.259

Barrel%10.3%

MLB%10%

Scouting · now → future

HIT

35→35

PWR

55→55

SPD

45→45

EYE

41↘35

trajectory · 10 yrs

0.2peak

2027

Barrel%

6410.3

xwOBA

100.259

Avg EV

3788.1

Whiff%

100.177

Chase%

130.389

Speed

3026.5

Bat Spd

5872.2

Contract

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

Status FA

MLB Debut 2017

Service 9.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$2M	+1.1	$9M	+$7M
Totals		$2M		$9M	+$7M

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
2015	21	A	2 teams	292	266	70	14	3	7	19	68	5	13	4	.263	.324	.417	.741	.154	.326	23	7	.317	101	+0	+1	+0	+3	+8	1.3
2016	22	AA	2 teams	626	578	120	25	2	19	30	209	10	4	3	.208	.259	.356	.615	.149	.282	33	5	.270	65	-25	-0	+0	+7	+18	-0.1
2017	23	MLB	2 teams	633	597	162	32	1	37	27	183	6	1	2	.271	.310	.514	.824	.243	.330	29	4	.351	127	+19	-1	-8	+7	+18	3.6
2018	24	MLB	2 teams	505	450	109	28	1	21	37	128	12	1	1	.242	.317	.449	.766	.207	.287	25	7	.332	112	+7	-0	-4	+5	+14	2.3
2019	25	MLB	St. Louis Cardinals	664	583	140	33	1	34	62	149	13	9	5	.240	.327	.475	.802	.235	.261	22	9	.347	124	+18	-0	+10	+7	+19	5.5
2020	26	MLB	St. Louis Cardinals	174	152	40	7	0	3	17	50	1	1	0	.263	.341	.368	.710	.105	.359	29	10	.306	93	-1	+0	-1	+2	+5	0.4
2021	27	MLB	St. Louis Cardinals	402	356	71	10	1	21	35	103	9	4	1	.199	.287	.410	.698	.211	.214	26	9	.307	93	-3	+0	+6	+4	+11	1.9
2022	28	MLB	2 teams	467	418	74	17	0	19	34	143	6	4	3	.177	.249	.354	.603	.177	.208	31	7	.265	61	-21	-0	+5	+5	+13	0.2
2023	29	MLB	2 teams	440	408	88	15	0	15	24	136	6	4	4	.216	.269	.363	.632	.147	.282	31	5	.283	75	-13	-1	+9	+5	+12	1.3
2024	30	MLB	Kansas City Royals	482	445	101	16	0	25	23	156	9	2	2	.227	.279	.431	.710	.204	.283	32	5	.305	91	-5	-0	+5	+5	+14	1.9
2025	31	MLB	2 teams	254	234	56	12	0	8	14	85	2	5	1	.239	.288	.393	.681	.154	.331	33	6	.289	79	-6	+1	+0	+1	+7	0.3
▸ 2026 Season (actual · ROS · total)
2026	32	AAA	Scranton/Wilkes-Barre RailRiders	69	58	10	2	0	4	8	20	1	0	0	.172	.284	.414	.697	.241	.167	29	12	.314	98	-0	+0	+0	+1	+2	0.3
ROS	32	MLB	NYY	312	285	58	10	0	13	20	100	4	3	1	.204	.265	.375	.641	.172	.259	32	6	.289	79	-7	+0	+3	+3	+9	0.8
TOT	32	MLB	NYY	381	343	68	12	0	17	28	120	5	3	1	.198	.269	.382	.651	.184	.243	31	7	.294	83	-7	+0	+3	+4	+11	1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	33	MLB 20%	NYY	351	317	64	11	0	15	26	100	5	2	1	.202	.273	.379	.652	.177	.243	28	7	.293	82	-7	+0	-1	+4	+10	0.6
2028	34	MLB 33%	NYY	307	278	56	10	0	13	22	90	4	1	0	.201	.270	.378	.647	.176	.241	29	7	.286	77	-8	+0	-2	+3	+9	0.2
▸ Career Totals (MLE all levels + projections)
Career	—			5909	5367	1209	240	9	250	390	1700	92	54	28	.225	.289	.413	.702	.188	.276	29	7	.306	92	-52	-0	+22	+61	+167	20.2
/ 162G	—			650	590	133	26	1	28	43	187	10	6	3	.225	.289	.415	.704	.190	.276	29	7	.306	92	-6	+0	+2	+7	+18	2.2

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
2015	21	A	Peoria Chiefs	247	219	63	12	3	5	23	43	3	13	4	.288	.363	.438	.802	.151	.335	17	9	.356	130	+8	+1	—	—	+7	1.7
2015	21	ROK	Johnson City Cardinals	45	37	18	6	0	4	6	9	2	0	0	.486	.578	.973	1.551	.486	.583	20	13	.643	350	+13	+0	—	—	+1	1.4
2016	22	AA	Springfield Cardinals	552	496	129	29	2	22	40	144	10	3	2	.260	.328	.460	.788	.200	.318	26	7	.345	122	+14	-0	—	—	+16	3.0
2016	22	INTL	Glendale Desert Dogs	74	69	16	1	0	1	3	21	0	1	1	.232	.264	.290	.554	.058	.306	28	4	.245	46	-5	-0	—	—	+2	-0.3
2017	23	MLB	St. Louis Cardinals	443	417	119	26	1	25	21	124	4	1	0	.285	.326	.532	.858	.247	.349	28	5	.373	144	+22	+0	-8	+7	+13	3.4
2017	23	AAA	Memphis Redbirds	190	177	53	9	0	13	9	46	2	0	2	.299	.340	.571	.911	.271	.336	24	5	.392	158	+12	-1	—	—	+5	1.7
2018	24	MLB	St. Louis Cardinals	490	436	105	25	1	19	36	123	12	1	1	.241	.315	.433	.749	.193	.288	25	7	.330	110	+6	-0	-4	+5	+14	2.1
2018	24	AAA	Memphis Redbirds	15	13	4	2	0	1	1	4	0	0	0	.308	.357	.692	1.049	.385	.333	27	7	.417	177	+1	+0	—	—	+0	0.2
2019	25	MLB	St. Louis Cardinals	664	583	136	31	1	30	62	149	13	9	5	.233	.321	.444	.765	.211	.259	22	9	.337	116	+12	-0	+10	+7	+19	4.9
2020	26	MLB	St. Louis Cardinals	174	152	38	6	0	3	17	50	1	1	0	.250	.329	.349	.678	.099	.340	29	10	.303	90	-2	+0	-1	+2	+5	0.4
2021	27	MLB	St. Louis Cardinals	402	356	70	10	1	19	35	103	9	4	1	.197	.285	.390	.675	.194	.216	26	9	.302	89	-5	+0	+6	+4	+11	1.7
2022	28	MLB	St. Louis Cardinals	237	210	33	9	0	6	21	79	4	3	2	.157	.247	.286	.533	.129	.213	33	9	.244	45	-15	-0	+5	+5	+7	0.2
2022	28	AAA	Memphis Redbirds	230	201	50	10	0	17	20	52	2	1	1	.249	.323	.552	.875	.303	.237	23	9	.367	139	+10	-0	—	—	+7	1.7
2023	29	MLB	San Francisco Giants	400	372	77	13	0	14	21	121	5	4	4	.207	.259	.355	.614	.148	.264	30	5	.274	67	-15	-1	+9	+5	+11	0.9
2023	29	AAA	Memphis Redbirds	40	34	12	3	0	2	5	12	1	0	0	.353	.450	.618	1.068	.265	.500	30	12	.464	213	+5	+0	—	—	+1	0.6
2024	30	MLB	Kansas City Royals	482	445	101	17	0	24	23	156	9	2	2	.227	.279	.427	.706	.200	.285	32	5	.309	94	-3	-0	+5	+5	+14	2.1
2025	31	MLB	Washington Nationals	208	193	44	10	0	6	11	70	1	4	0	.228	.273	.373	.646	.145	.317	34	5	.284	76	-6	+1	+0	+1	+6	0.2
2025	31	AA	Harrisburg Senators	46	40	11	1	0	1	4	12	1	1	1	.275	.356	.375	.731	.100	.357	26	9	.327	108	+0	-0	—	—	+1	0.2
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			3500	3164	723	147	4	146	247	975	58	29	15	.229	.296	.416	.712	.187	.278	28	7	.314	99	-6	-0	+21	+41	+99	15.9

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
Paul DeJong (OGILVIE)	32	35	55	45	35	.210/.266/.380	.170	.274	16	4	33%	6%	78	+0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Donnie Murphy 2015 · MLB	32	39→41	52→60	45	41	.209/.273/.376	.166	.260	21	6	28%	6%	79	+0.3	.210/.275/.332	.122	.267	13	6	26%	7%	69	-0.4	.196/.269/.273	.077	.249	7	0	23%	7%	49	-0.5
✕Brad Eldred 2012 · MLB	32	38→39	55→65	47→45	38	.211/.265/.390	.179	.269	24	9	31%	5%	80	+0.4	.232/.284/.458	.226	.296	31	11	32%	6%	106	+2.2	.234/.286/.538	.304	.281	44	9	34%	6%	126	+1.7
✕Anthony Recker 2016 · MLB	32	39→48	53→50	44→45	43	.207/.276/.375	.167	.277	22	5	33%	8%	80	+0.4	.213/.287/.359	.146	.288	16	5	30%	8%	81	+0.4	.205/.278/.348	.144	.276	15	2	30%	8%	70	-0.1
✕Cody Ransom 2009 · MLB	33	39→41	54→55	48→50	44	.212/.276/.389	.177	.262	22	11	29%	7%	84	+0.6	.219/.281/.393	.174	.279	20	10	28%	7%	87	+0.8	.217/.285/.398	.181	.290	23	7	32%	8%	87	+0.6
✕Ryan Casteel 2022 · AAA	31	40→47	54→55	47→40	39	.214/.268/.387	.173	.291	23	4	34%	6%	80	+0.4	.209/.265/.388	.179	.274	25	5	33%	6%	79	+0.3	.179/.242/.390	.210	.202	32	0	31%	6%	66	-0.3
✕Brandon Larson 2007 · MLB	31	44→42	51→50	44→45	41	.228/.283/.384	.156	.296	20	6	30%	6%	85	+0.7	.226/.270/.378	.152	.283	19	8	27%	5%	78	+0.2	.213/.246/.358	.145	.247	20	4	24%	4%	60	-0.3
✕Lorenzo Quintana 2021 · AAA	32	43	54→55	45	38	.227/.272/.402	.175	.273	22	9	26%	4%	85	+0.7	.242/.290/.401	.159	.297	19	5	25%	5%	92	+1.2	.240/.289/.402	.162	.291	20	2	24%	4%	89	+0.5
✕Kyle Garlick 2023 · MLB	31	43→48	58→60	49→40	40	.234/.290/.430	.196	.296	27	6	31%	6%	101	+1.8	.197/.266/.352	.155	.282	21	4	36%	7%	70	-0.3	.170/.244/.307	.137	.246	19	2	38%	8%	49	-1.5
✕Jason Dubois 2010 · AAA	31	42→45	53→60	44→40	39	.224/.281/.393	.170	.289	22	4	30%	6%	88	+0.9	.239/.299/.451	.212	.302	29	6	31%	6%	110	+2.4	.236/.301/.514	.277	.269	43	0	30%	7%	124	+1.4
✕Mike Hessman 2010 · MLB	32	36→37	60→65	41→45	42	.205/.281/.420	.215	.274	29	5	36%	8%	95	+1.4	.201/.268/.397	.196	.259	26	4	33%	7%	83	+0.6	.195/.260/.385	.189	.236	26	3	30%	7%	75	-0.0
✕Carlos M. Rodriguez 2015 · AAA	33	42→44	53→55	45→40	39	.218/.280/.384	.166	.304	23	4	35%	7%	84	+0.6	.215/.269/.332	.117	.307	13	4	33%	6%	66	-0.6	.217/.266/.330	.113	.309	12	1	32%	5%	61	-0.6
✕John Hicks 2022 · MLB	32	42→51	56→60	48→50	36	.227/.264/.412	.184	.297	25	9	33%	4%	85	+0.7	.218/.262/.387	.169	.298	21	15	33%	5%	77	+0.1	.199/.245/.356	.157	.271	19	18	33%	5%	59	-0.6
✕Clint Coulter 2023 · AAA	30	43	53→50	44→40	40	.226/.285/.396	.170	.278	21	5	27%	5%	90	+1.0	.221/.288/.362	.141	.267	15	9	23%	6%	82	+0.5	.199/.277/.318	.119	.239	11	9	21%	6%	62	-0.4
✕Luke Montz 2015 · MLB	32	35→45	60→55	40	43	.207/.273/.415	.208	.251	29	4	32%	8%	90	+1.0	.199/.267/.350	.151	.288	17	7	35%	8%	70	-0.3	.132/.210/.261	.129	.194	13	3	38%	8%	23	-1.1
✕Brandon Snyder 2019 · MLB	32	42→52	53→55	47→45	39	.220/.277/.388	.169	.302	21	6	34%	6%	84	+0.6	.200/.259/.376	.176	.301	24	5	40%	5%	74	-0.1	.174/.238/.353	.179	.255	27	2	42%	5%	57	-0.7
✕Jamie Romak 2017 · MLB	31	40→49	52→55	49→45	40	.212/.269/.378	.166	.288	19	7	33%	7%	78	+0.2	.240/.290/.439	.199	.315	25	11	31%	6%	103	+1.9	.250/.292/.549	.299	.296	42	10	31%	5%	127	+0.6
✕Patrick Kivlehan 2021 · AAA	31	42→52	57→60	44→50	40	.224/.282/.420	.196	.288	25	5	31%	6%	95	+1.4	.210/.261/.373	.163	.292	21	8	35%	6%	73	-0.1	.182/.228/.327	.145	.254	21	6	37%	5%	44	-1.3
✕Jett Bandy 2021 · MLB	31	40	49→50	44→45	38	.209/.270/.352	.143	.267	18	6	29%	4%	72	-0.2	.213/.276/.337	.124	.297	14	8	32%	6%	70	-0.3	.172/.245/.252	.080	.248	10	0	33%	6%	37	-0.5
●Jose Vargas 2019 · AAA	31	44	58→60	41→40	36	.235/.275/.430	.195	.310	28	9	34%	5%	95	+1.4	.264/.300/.519	.255	.325	38	7	31%	4%	129	+3.7	.280/.310/.588	.308	.327	49	2	31%	3%	150	+2.5
✕Valentino Pascucci 2011 · AAA	32	41→45	54→55	47→45	50	.217/.303/.391	.174	.282	22	4	31%	10%	95	+1.4	.214/.297/.379	.165	.305	21	3	34%	10%	90	+1.0	.203/.294/.363	.160	.292	21	0	35%	11%	82	+0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)