Danny Jansen — OGILVIE

Danny JansenC Texas Rangers

Age 31 R/R 6'2" / 240 lbs MLB K +3% Svc 8.000 · Ctrl thru 2028 peak 1.4 · 2026

wRC+†vL 9890vR 76

AVG/OBP/SLG.211 / .317 / .389

PA340

HR13

K%23

BB%12

MLB%100%

Scouting · now → future

HIT

40→40

PWR

45→45

SPD

40→40

EYE

62↘60

trajectory · 10 yrs

1.6peak

2026

Contract

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

Status FA

MLB Debut 2018

Service 8.000 yrs.days

Team Control Through 2028

First FA Year 2029

DEF 10%

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$4M	+1.4	$11M	+$7M
2027	Ext / FA-deal	$8M	+0.9	$4M	-$4M
2028	Ext / FA-deal	$8M	+0.6	$3M	-$5M
Totals		$20M		$17M	-$3M

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
2013	18	ROK	GCL Blue Jays	140	122	24	3	0	0	13	14	2	0	0	.197	.285	.221	.506	.025	.216	10	9	.239	41	-9	+0	+0	+3	+4	-0.3
2014	19	ROK	Bluefield Blue Jays	146	130	27	7	0	4	10	24	6	2	1	.208	.295	.354	.648	.146	.225	16	7	.282	74	-4	+0	+0	+3	+4	0.3
2015	20	A	2 teams	207	187	30	6	0	4	15	36	3	2	0	.160	.234	.257	.491	.096	.174	17	7	.220	27	-17	+0	+0	+4	+6	-0.7
2016	21	A+	2 teams	299	268	44	8	0	1	22	83	6	7	1	.164	.243	.205	.448	.041	.230	28	7	.210	19	-27	+1	+0	+5	+8	-1.3
2017	22	AA	3 teams	424	383	112	23	2	8	26	53	9	1	0	.292	.352	.426	.777	.133	.319	12	6	.340	118	+9	+0	+0	+8	+12	2.9
2018	23	AAA	2 teams	455	392	94	23	1	13	40	76	18	5	1	.240	.338	.403	.741	.163	.264	17	9	.323	105	+3	+1	+3	+8	+13	2.8
2019	24	MLB	Toronto Blue Jays	384	347	72	12	1	12	31	79	4	0	1	.207	.280	.352	.632	.144	.233	21	8	.283	75	-11	-0	+21	+7	+11	2.8
2020	25	MLB	Toronto Blue Jays	147	120	21	3	0	6	21	31	2	0	0	.175	.308	.350	.658	.175	.179	21	14	.294	83	-3	+0	+3	+3	+4	0.7
2021	26	MLB	2 teams	231	206	45	12	0	12	20	48	3	0	0	.218	.297	.451	.748	.233	.224	21	9	.326	107	+2	+0	+7	+4	+7	2.0
2022	27	MLB	2 teams	266	232	61	11	0	15	26	51	3	1	0	.263	.345	.504	.849	.241	.269	19	10	.355	130	+9	+0	+6	+5	+8	2.8
2023	28	MLB	Toronto Blue Jays	301	268	64	16	0	18	23	62	10	0	0	.239	.322	.500	.822	.261	.245	21	8	.352	128	+9	+0	+6	+5	+9	3.0
2024	29	MLB	Boston Red Sox	324	278	55	11	0	9	40	61	3	0	0	.198	.305	.335	.640	.137	.218	19	12	.287	78	-8	+0	-0	+6	+9	0.7
2025	30	MLB	Milwaukee Brewers	337	288	62	11	0	13	42	86	4	0	0	.215	.323	.389	.712	.174	.257	26	12	.310	96	-2	+0	+1	+6	+10	1.5
▸ 2026 Season (actual · ROS · total)
2026	31	MLB	Texas Rangers	62	58	12	4	0	1	4	20	0	0	1	.207	.258	.328	.586	.121	.297	32	6	.261	58	-3	-0	+1	+1	+2	0.0
ROS	31	MLB	TEX	278	241	51	11	0	10	31	67	4	1	1	.212	.312	.382	.693	.170	.247	24	11	.312	97	-1	-0	+1	+5	+8	1.3
TOT	31	MLB	TEX	340	299	63	15	0	11	35	87	4	1	2	.211	.302	.371	.673	.161	.257	26	10	.303	90	-4	-1	+2	+6	+10	1.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB	TEX	302	261	55	12	0	11	34	61	4	0	1	.211	.311	.383	.694	.172	.228	20	11	.307	93	-2	-0	-2	+5	+9	0.9
2028	33	MLB	TEX	265	230	47	10	0	9	30	56	3	0	0	.204	.304	.365	.669	.161	.226	21	11	.301	89	-3	+0	-3	+5	+8	0.6
2029	34	MLB	TEX	218	189	38	8	0	7	24	48	3	0	0	.201	.301	.354	.655	.153	.223	22	11	.294	83	-4	+0	-4	+4	+6	0.2
2030	35	MLB	TEX	167	145	28	6	0	5	18	38	2	0	0	.193	.291	.338	.629	.145	.220	23	11	.286	77	-4	+0	-5	+3	+5	-0.1
▸ Career Totals (MLE all levels + projections)
Career	—			4891	4287	930	193	4	157	466	974	89	19	6	.217	.307	.374	.680	.157	.242	20	10	.301	88	-65	+1	+35	+87	+139	20.2
/ 162G	—			650	570	125	26	1	21	62	129	12	3	1	.219	.309	.379	.688	.160	.245	20	10	.301	88	-9	+0	+5	+12	+18	2.7

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
2013	18	ROK	GCL Blue Jays	140	114	28	4	0	0	21	10	2	0	0	.246	.372	.281	.653	.035	.262	7	15	.307	93	-1	+0	—	—	+4	0.3
2014	19	ROK	Bluefield Blue Jays	146	124	35	10	0	5	16	17	6	2	1	.282	.390	.484	.874	.202	.294	12	11	.390	156	+9	+0	—	—	+4	1.4
2015	20	A	Lansing Lugnuts	184	160	33	8	0	4	19	22	3	2	0	.206	.302	.331	.633	.125	.213	12	10	.288	79	-4	+0	—	—	+5	0.1
2015	20	ROK	GCL Blue Jays	23	21	5	1	0	1	2	5	0	0	0	.238	.304	.429	.733	.190	.267	22	9	.325	107	+0	+0	—	—	+1	0.1
2016	21	A+	Dunedin Blue Jays	217	188	41	7	0	1	22	40	5	7	1	.218	.316	.271	.588	.053	.268	18	10	.276	70	-7	+1	—	—	+6	-0.0
2016	21	INTL	Mesa Solar Sox	82	71	20	0	2	0	9	10	1	0	0	.282	.370	.338	.708	.056	.323	12	11	.324	106	+1	+0	—	—	+2	0.3
2017	22	AAA	Buffalo Bisons	78	67	22	4	1	3	11	7	0	0	0	.328	.423	.552	.975	.224	.333	9	14	.427	185	+8	+0	—	—	+2	1.0
2017	22	AA	New Hampshire Fisher Cats	210	179	52	15	1	2	22	19	5	1	0	.291	.383	.419	.802	.128	.311	9	10	.356	131	+7	+0	—	—	+6	1.4
2017	22	A+	Dunedin Blue Jays	136	122	45	6	0	5	8	14	4	0	0	.369	.425	.541	.966	.172	.385	10	6	.422	181	+12	+0	—	—	+4	1.7
2018	23	MLB	Toronto Blue Jays	95	81	20	6	0	3	9	17	4	0	0	.247	.351	.432	.783	.185	.274	18	9	.349	125	+3	+0	+3	+8	+3	1.7
2018	23	AAA	Buffalo Bisons	360	298	82	21	1	12	44	49	14	5	1	.275	.393	.473	.866	.198	.292	14	12	.383	151	+21	+1	—	—	+10	3.2
2019	24	MLB	Toronto Blue Jays	384	347	72	12	1	13	31	79	4	0	1	.207	.280	.360	.640	.153	.230	21	8	.287	78	-10	-0	+21	+7	+11	2.9
2020	25	MLB	Toronto Blue Jays	147	120	22	3	0	6	21	31	2	0	0	.183	.315	.358	.673	.175	.190	21	14	.301	88	-2	+0	+3	+3	+4	0.8
2021	26	MLB	Toronto Blue Jays	205	184	41	13	0	11	17	44	3	0	0	.223	.299	.473	.772	.250	.233	21	8	.337	116	+4	+0	+7	+4	+6	2.1
2021	26	AAA	Buffalo Bisons	26	21	5	0	0	1	4	3	0	0	0	.238	.360	.381	.741	.143	.222	12	15	.327	108	+0	+0	—	—	+1	0.1
2022	27	MLB	Toronto Blue Jays	248	215	56	10	0	15	25	44	3	1	0	.260	.346	.516	.862	.256	.255	18	10	.370	141	+12	+0	+6	+5	+7	3.0
2022	27	AAA	Buffalo Bisons	18	17	5	1	0	1	1	6	0	0	0	.294	.333	.529	.863	.235	.400	33	6	.377	146	+1	+0	—	—	+1	0.1
2023	28	MLB	Toronto Blue Jays	301	268	61	15	0	17	23	62	10	0	0	.228	.312	.474	.786	.246	.233	21	8	.346	123	+8	+0	+6	+5	+9	2.8
2024	29	MLB	Boston Red Sox	324	278	57	13	0	9	40	61	3	0	0	.205	.312	.349	.660	.144	.227	19	12	.300	88	-4	+0	-0	+6	+9	1.1
2025	30	MLB	Milwaukee Brewers	337	288	62	11	0	14	42	86	4	0	0	.215	.323	.399	.723	.184	.253	26	12	.323	106	+2	+0	+1	+6	+10	1.9
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			2041	1781	391	83	1	88	208	424	33	1	1	.220	.313	.415	.728	.196	.236	21	10	.323	105	+12	-0	+47	+44	+58	16.4

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
Danny Jansen (OGILVIE)	31	40	45	40	60	.210/.309/.381	.171	.230	12	1	20%	11%	97	+0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕John Mayberry Jr. 2015 · MLB	31	44→48	51→55	44→50	48	.228/.295/.393	.165	.271	18	5	23%	8%	92	+1.2	.212/.280/.363	.151	.261	16	7	25%	8%	79	+0.3	.162/.216/.280	.119	.202	11	4	26%	7%	29	-0.8
✕Iker Franco 2012 · AAA	31	46→47	50	39→40	50	.237/.296/.388	.151	.257	19	3	17%	7%	92	+1.2	.238/.295/.363	.125	.283	16	3	21%	7%	84	+0.6	.256/.311/.344	.088	.308	10	1	20%	7%	83	+0.2
✕Michael McKenry 2016 · MLB	31	48→46	51→55	43→40	52	.243/.324/.407	.163	.293	18	7	23%	10%	108	+2.3	.212/.307/.346	.134	.289	13	6	29%	11%	85	+0.7	.181/.285/.291	.110	.257	10	2	31%	12%	61	-0.4
✕Travis Denker 2017 · AAA	31	46→52	51→50	44→45	51	.233/.303/.395	.161	.258	18	3	18%	8%	96	+1.5	.243/.317/.401	.158	.288	18	5	21%	9%	104	+2.0	.249/.333/.400	.151	.300	18	0	22%	9%	112	+1.0
✕Elias Díaz 2023 · MLB	32	44→54	49→50	42→45	49	.224/.284/.371	.147	.253	17	2	19%	7%	82	+0.5	.245/.299/.378	.133	.297	14	2	22%	7%	89	+1.0	.247/.301/.371	.124	.303	14	1	22%	6%	86	+0.5
✕Kelly Stinnett 2001 · MLB	31	45	49→50	43→40	48	.232/.303/.377	.145	.268	18	5	21%	8%	92	+1.2	.241/.317/.403	.162	.299	19	6	25%	8%	105	+2.1	.240/.319/.397	.157	.308	17	5	26%	9%	95	+0.4
✕Anthony Recker 2014 · MLB	30	43→48	51→50	43→45	47	.220/.295/.378	.157	.286	19	7	29%	9%	89	+0.9	.211/.280/.369	.158	.286	20	6	32%	8%	80	+0.4	.200/.280/.351	.151	.266	19	3	31%	9%	71	-0.1
✕George Kottaras 2013 · MLB	30	45→53	53→55	44→30	59	.231/.328/.411	.180	.270	21	4	23%	13%	111	+2.5	.220/.324/.399	.179	.301	23	5	32%	13%	107	+2.2	.189/.298/.355	.165	.275	25	1	38%	13%	79	+0.1
✕John Buck 2012 · MLB	32	47→53	52→55	41→30	47	.244/.308/.411	.166	.292	20	2	24%	7%	102	+1.9	.223/.301/.370	.147	.271	18	3	24%	9%	89	+1.0	.212/.292/.346	.133	.260	17	1	25%	9%	71	-0.1
✕Doug Mirabelli 2002 · MLB	31	46	53→50	48→30	57	.235/.334/.414	.179	.278	21	4	23%	12%	115	+2.7	.245/.326/.437	.192	.284	23	4	22%	10%	117	+2.9	.254/.330/.459	.206	.291	25	0	22%	9%	123	+1.0
✕Chris Widger 2002 · MLB	31	46	55→60	44→40	52	.242/.312/.434	.192	.268	23	6	20%	9%	110	+2.4	.243/.302/.372	.129	.284	11	6	18%	7%	89	+1.0	.215/.276/.317	.102	.253	8	0	18%	7%	61	-0.2
✕Said Gutierrez 2011 · AAA	31	49	51→50	42→40	43	.251/.294/.401	.149	.284	20	4	20%	5%	94	+1.3	.241/.291/.390	.149	.278	18	6	20%	6%	90	+1.0	.242/.289/.373	.131	.269	17	3	17%	5%	83	+0.3
✕Tim Beckham 2021 · MLB	31	45→55	54→55	39→50	43	.233/.291/.413	.180	.291	22	4	28%	7%	96	+1.5	.256/.307/.429	.173	.330	22	7	28%	6%	107	+2.2	.274/.319/.429	.155	.357	21	4	28%	5%	108	+0.7
✕Corky Miller 2007 · MLB	31	40	55→50	41→40	48	.218/.301/.399	.181	.236	24	4	21%	7%	98	+1.6	.213/.293/.351	.138	.238	17	6	18%	7%	82	+0.5	.219/.290/.335	.116	.255	12	0	18%	7%	73	-0.0
✕Eric Munson 2008 · MLB	30	44→43	52→60	43→40	49	.230/.294/.396	.166	.255	21	3	20%	8%	93	+1.3	.213/.289/.351	.138	.255	15	4	22%	9%	79	+0.3	.193/.280/.324	.131	.234	15	0	24%	9%	68	-0.2
✕Taylor Motter 2022 · MLB	32	43→49	55→60	47→55	50	.226/.304/.410	.184	.274	23	5	26%	10%	101	+1.8	.224/.295/.408	.184	.278	24	7	28%	9%	97	+1.5	.202/.273/.371	.169	.252	23	8	29%	9%	76	+0.0
✕Donnie Murphy 2014 · MLB	31	41	54→60	47→45	42	.219/.284/.396	.177	.269	22	7	28%	6%	89	+1.0	.205/.270/.344	.139	.260	17	6	27%	6%	69	-0.4	.170/.239/.268	.098	.215	12	0	27%	7%	35	-0.9
✕Yoshi Tsutsugo 2022 · MLB	30	42→41	54→50	42→30	53	.224/.312/.404	.179	.271	22	3	26%	11%	103	+1.9	.221/.310/.369	.148	.294	18	4	29%	11%	93	+1.3	.209/.307/.339	.130	.290	16	2	31%	12%	81	+0.2
✕Nick Hundley 2014 · MLB	30	45	48→55	39→40	45	.226/.286/.368	.141	.279	15	3	25%	7%	82	+0.5	.246/.294/.387	.141	.301	16	5	23%	6%	90	+1.0	.260/.304/.426	.166	.311	18	3	22%	6%	98	+0.9
✕Jacob Wilson 2021 · AAA	31	47→49	49→55	45→40	47	.238/.299/.390	.152	.284	17	5	23%	7%	93	+1.3	.221/.289/.400	.179	.269	21	6	26%	7%	92	+1.2	.194/.271/.385	.190	.225	23	0	26%	8%	79	+0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)