Jonathan Davis — OGILVIE

Jonathan DavisCF Jacksonville Jumbo Shrimp

Age 34 R/R 5'8" / 190 lbs AAA HR -4%BB +3% Svc 8.000 · Ctrl thru 2026 peak 0.3 · 2026

wRC+†74

AVG/OBP/SLG.209 / .286 / .331

PA287

HR6

SB7

K%30

BB%8

xwOBA.293

Barrel%4.6%

MLB%10%

Scouting · now → future

HIT

27→27

PWR

40→40

SPD

69→69

EYE

49↗68

Contract

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

Status FA

MLB Debut 2018

Service 8.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.3	$1M	+$0.2M
Totals		$1M		$1M	+$0.2M

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	21	ROK	Bluefield Blue Jays	155	136	25	8	2	2	8	37	8	4	2	.184	.270	.316	.586	.132	.235	24	5	.252	51	-9	+0	+0	+1	+4	-0.4
2015	23	A+	2 teams	237	215	48	14	1	2	13	59	4	11	7	.223	.280	.326	.606	.102	.295	25	5	.266	62	-10	-1	+0	+1	+7	-0.3
2016	24	A+	2 teams	574	485	94	19	5	14	55	184	18	39	7	.194	.299	.340	.639	.146	.273	32	10	.284	76	-16	+5	+0	+2	+16	0.8
2017	25	AA	2 teams	637	546	123	20	6	9	57	163	16	27	15	.225	.317	.333	.650	.108	.300	26	9	.284	76	-18	-1	+0	+2	+18	0.2
2018	26	AA	4 teams	620	558	141	28	4	9	37	128	17	30	5	.253	.319	.366	.684	.113	.310	21	6	.299	87	-9	+4	-0	+2	+18	1.5
2019	27	AAA	2 teams	447	388	79	16	3	10	34	127	22	16	5	.204	.304	.338	.642	.134	.274	28	8	.287	78	-11	+1	+2	+2	+13	0.6
2020	28	MLB	Toronto Blue Jays	34	28	7	2	0	1	3	11	2	1	0	.250	.364	.429	.792	.179	.353	32	9	.344	121	+1	+0	-1	-0	+1	0.1
2021	29	MLB	2 teams	189	157	22	3	1	2	21	54	9	9	3	.140	.278	.210	.488	.070	.194	29	11	.238	40	-13	+1	+1	+1	+5	-0.5
2022	30	AAA	2 teams	312	269	67	10	1	4	33	80	5	21	2	.249	.342	.338	.680	.089	.335	26	11	.299	87	-4	+3	+4	+1	+9	1.3
2023	31	AAA	2 teams	245	220	50	11	4	7	17	67	3	6	4	.227	.292	.409	.701	.182	.289	27	7	.293	83	-5	-0	+0	+1	+7	0.3
2024	32	AAA	Jacksonville Jumbo Shrimp	285	253	51	11	1	4	23	96	9	8	2	.202	.291	.300	.592	.099	.307	34	8	.263	59	-13	+1	+0	+1	+8	-0.3
▸ 2026 Season
2026	34	MLB	MIA	287	257	55	11	2	6	22	87	6	7	1	.214	.291	.342	.634	.128	.290	30	8	.282	74	-8	+1	+2	+1	+8	0.3
▸ Career Totals (MLE all levels + projections)
Career	—			4022	3512	762	153	30	70	323	1093	119	179	53	.217	.305	.337	.642	.120	.291	27	8	.283	75	-115	+15	+7	+14	+114	3.5
/ 162G	—			650	568	123	25	5	11	52	177	19	29	9	.217	.304	.336	.640	.120	.291	27	8	.283	75	-19	+2	+1	+2	+18	0.6

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	21	ROK	Bluefield Blue Jays	155	130	31	11	3	2	14	26	8	4	2	.238	.349	.415	.764	.177	.282	17	9	.338	117	+3	+0	—	—	+4	0.7
2015	23	A+	Dunedin Blue Jays	179	161	37	15	0	1	10	34	4	5	6	.230	.290	.342	.631	.112	.281	19	6	.281	73	-5	-1	—	—	+5	-0.2
2015	23	A	Lansing Lugnuts	58	49	20	2	1	2	7	7	0	6	1	.408	.482	.612	1.094	.204	.450	12	12	.462	212	+7	+1	—	—	+2	1.0
2016	24	A+	Dunedin Blue Jays	518	417	105	21	8	14	70	111	17	33	6	.252	.380	.441	.821	.189	.305	21	14	.360	134	+20	+4	—	—	+15	3.9
2016	24	INTL	Indios de Mayaguez	56	45	10	1	1	0	7	15	1	6	1	.222	.340	.289	.629	.067	.333	27	12	.281	74	-2	+1	—	—	+2	0.1
2017	25	AA	New Hampshire Fisher Cats	546	446	111	20	4	10	69	110	13	20	14	.249	.365	.379	.744	.130	.304	20	13	.330	111	+7	-2	—	—	+15	2.1
2017	25	INTL	Peoria Javelinas	91	78	23	6	0	1	9	15	3	7	1	.295	.389	.410	.799	.115	.355	16	10	.360	134	+3	+1	—	—	+3	0.7
2018	26	MLB	Toronto Blue Jays	27	25	5	1	0	0	1	6	1	3	0	.200	.259	.240	.499	.040	.263	22	4	.235	38	-2	+1	-0	+2	+1	0.1
2018	26	AAA	Buffalo Bisons	202	185	46	7	2	5	12	41	4	7	1	.249	.308	.389	.698	.141	.295	20	6	.311	96	-1	+1	—	—	+6	0.6
2018	26	AA	New Hampshire Fisher Cats	358	305	92	22	3	5	35	53	11	19	3	.302	.393	.443	.836	.141	.345	15	10	.369	141	+16	+3	—	—	+10	3.0
2018	26	INTL	Leones del Escogido	33	31	4	0	1	0	1	10	1	1	1	.129	.182	.194	.375	.065	.190	30	3	.175	-8	-4	-0	—	—	+1	-0.3
2019	27	MLB	Toronto Blue Jays	95	83	15	1	0	2	5	24	5	3	1	.181	.269	.265	.534	.084	.224	25	5	.247	47	-6	+0	+2	+2	+3	0.0
2019	27	AAA	Buffalo Bisons	352	294	77	19	3	10	40	83	17	13	4	.262	.382	.449	.831	.187	.333	24	11	.373	143	+17	+1	—	—	+10	2.9
2020	28	MLB	Toronto Blue Jays	34	27	7	2	0	1	3	11	2	1	0	.259	.364	.444	.808	.185	.375	32	9	.348	124	+1	+0	-1	-0	+1	0.1
2021	29	MLB	New York Yankees	103	87	11	1	0	1	12	26	3	4	1	.126	.255	.172	.427	.046	.164	25	12	.214	22	-9	+0	+1	+1	+3	-0.4
2021	29	AAA	Scranton/Wilkes-Barre RailRiders	86	67	13	2	1	2	12	23	6	5	2	.194	.365	.343	.708	.149	.256	27	14	.330	111	+1	+0	—	—	+2	0.4
2022	30	MLB	Milwaukee Brewers	91	76	17	1	0	0	14	26	0	7	1	.224	.344	.237	.581	.013	.340	29	15	.281	73	-3	+1	+4	+1	+3	0.6
2022	30	AAA	Nashville Sounds	221	184	54	11	1	4	28	44	5	14	1	.293	.401	.429	.830	.136	.360	20	13	.370	141	+10	+2	—	—	+6	1.9
2023	31	MLB	Miami Marlins	104	90	22	4	1	2	7	29	2	1	2	.244	.310	.378	.688	.133	.328	28	7	.297	85	-2	-1	+0	+1	+3	0.2
2023	31	AAA	Toledo Mud Hens	141	124	32	9	4	5	14	32	1	5	2	.258	.336	.516	.852	.258	.307	23	10	.366	138	+6	+0	—	—	+4	1.0
2024	32	AAA	Jacksonville Jumbo Shrimp	285	242	55	12	1	4	33	80	9	8	2	.227	.340	.335	.675	.107	.323	28	12	.314	98	-1	+1	—	—	+8	0.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			454	388	77	10	1	6	42	122	13	19	5	.198	.297	.276	.572	.077	.268	27	9	.265	61	-20	+2	+6	+6	+13	0.6

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
Jonathan Davis (OGILVIE)	34	27	40	69	68	.209/.286/.331	.123	.290	6	7	30%	8%	74	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Drew Maggi 2023 · AAA	34	40→50	42→45	53→60	41	.196/.272/.298	.102	.288	9	22	33%	7%	59	-1.1	.196/.257/.298	.102	.270	10	16	30%	6%	52	-1.6	.168/.220/.263	.095	.217	12	9	29%	5%	23	-0.8
✕Kristopher Negrón 2019 · MLB	33	45→50	45	54→55	39	.223/.279/.349	.126	.309	13	17	31%	6%	74	-0.1	.232/.294/.361	.129	.336	14	14	33%	7%	83	+0.6	.238/.304/.360	.122	.346	14	14	33%	8%	83	+0.4
✕Chase d'Arnaud 2019 · MLB	32	47→49	46→45	56→60	46	.231/.293/.361	.130	.293	13	24	25%	7%	83	+0.6	.201/.267/.327	.126	.287	14	17	33%	7%	64	-0.8	.155/.226/.250	.096	.233	11	15	37%	6%	25	-2.1
✕Pete Orr 2013 · MLB	34	47→46	41→45	56→55	41	.229/.271/.332	.104	.278	8	22	21%	4%	66	-0.6	.234/.267/.326	.092	.297	6	16	23%	4%	62	-0.9	.236/.268/.320	.084	.301	5	14	22%	3%	57	-0.8
✕Calvin Murray 2005 · MLB	34	44→54	45→40	54→50	50	.219/.288/.346	.127	.256	12	14	19%	8%	77	+0.1	.251/.317/.351	.100	.296	7	14	17%	7%	90	+1.0	.258/.324/.345	.087	.307	4	16	16%	7%	89	+0.9
✕Justin Leone 2009 · AAA	32	40→41	50	52→55	50	.210/.290/.362	.152	.264	18	17	27%	10%	82	+0.5	.193/.264/.323	.130	.271	14	14	32%	8%	61	-1.0	.130/.199/.223	.093	.194	9	6	37%	8%	8	-1.9
✕Mike Coolbaugh 2006 · AAA	34	43→41	53→55	53→50	42	.228/.277/.396	.168	.276	21	10	26%	6%	86	+0.8	.217/.283/.361	.144	.272	17	9	26%	7%	79	+0.3	.182/.274/.295	.113	.227	14	4	26%	10%	56	-0.6
✕Charlie Culberson 2022 · MLB	33	49→52	47→45	52→50	44	.243/.295/.388	.145	.306	14	12	25%	6%	91	+1.1	.231/.277/.348	.117	.308	11	12	27%	6%	72	-0.2	.214/.243/.287	.073	.305	7	12	31%	4%	40	-0.5
✕Jed Hansen 2006 · AAA	33	41→40	45	51→50	39	.205/.267/.330	.125	.284	12	14	31%	6%	65	-0.7	.209/.267/.326	.117	.266	12	13	25%	6%	63	-0.8	.199/.258/.303	.104	.244	11	12	23%	6%	50	-1.2
✕Willy Taveras 2016 · AAA	34	47→57	43→45	58→65	44	.232/.286/.341	.110	.280	10	27	21%	5%	75	-0.0	.253/.304/.368	.115	.306	10	22	20%	4%	89	+1.0	.262/.314/.377	.115	.318	10	22	20%	4%	92	+0.8
✕Ryan LaMarre 2023 · MLB	34	50→52	47→45	52→60	44	.242/.319/.380	.139	.327	14	21	29%	7%	100	+1.7	.222/.294/.354	.132	.316	14	20	32%	7%	82	+0.5	.149/.229/.250	.102	.226	13	33	38%	7%	26	-0.6
✕Andrew Romine 2021 · MLB	35	47→54	42→40	55	43	.232/.277/.333	.101	.283	10	19	22%	5%	69	-0.4	.238/.286/.329	.091	.307	8	10	24%	6%	71	-0.3	.247/.295/.310	.063	.326	3	3	24%	6%	65	-0.4
✕Anthony Recker 2018 · MLB	34	42→48	47→50	49→45	44	.210/.284/.344	.134	.285	14	5	30%	8%	76	+0.0	.215/.278/.370	.155	.292	18	5	31%	7%	79	+0.3	.196/.261/.371	.175	.257	22	0	32%	7%	69	-0.2
✕Elliot Soto 2023 · AAA	33	43→52	39→40	51→50	45	.206/.271/.296	.090	.280	6	12	27%	7%	57	-1.2	.193/.257/.271	.078	.287	6	18	32%	7%	44	-2.1	.171/.241/.227	.057	.264	4	23	34%	8%	25	-1.9
✕Daniel Hinojosa 2019 · AAA	35	48	39→40	50→55	42	.226/.283/.307	.081	.312	7	12	28%	7%	64	-0.8	.210/.258/.350	.140	.324	17	10	39%	6%	66	-0.6	.140/.178/.291	.151	.208	25	5	47%	4%	14	-0.8
✕Manny Alexander 2006 · MLB	35	49→50	45	54→55	45	.240/.290/.364	.125	.284	11	23	20%	6%	82	+0.5	.222/.264/.315	.093	.263	8	15	18%	5%	58	-1.2	.210/.249/.284	.073	.249	5	10	17%	4%	39	-1.7
✕Keith Osik 2003 · MLB	34	45	45→40	51→50	52	.224/.301/.348	.124	.252	13	8	17%	8%	84	+0.6	.226/.303/.323	.097	.270	8	5	18%	9%	78	+0.2	.249/.342/.324	.075	.297	4	0	16%	11%	92	+0.6
✕Cody Ransom 2010 · MLB	34	40→41	52→55	49→50	45	.213/.279/.385	.172	.266	20	12	28%	8%	84	+0.6	.222/.285/.399	.177	.290	21	8	30%	8%	90	+1.0	.217/.285/.398	.181	.290	23	7	32%	8%	87	+0.6
✕Mark Little 2006 · MLB	34	44	52→55	52→55	40	.227/.298/.393	.166	.296	20	19	30%	6%	95	+1.4	.232/.315/.357	.125	.319	12	15	29%	6%	92	+1.2	.233/.334/.324	.091	.343	4	13	29%	7%	89	+0.5
✕Dewayne Wise 2012 · MLB	34	48→40	47→60	55	38	.237/.273/.383	.146	.293	12	18	24%	4%	79	+0.3	.235/.274/.378	.143	.292	15	24	24%	5%	79	+0.3	.230/.268/.372	.142	.281	15	29	24%	5%	71	-0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)