Michael Turconi — OGILVIE

Michael TurconiSS Akron RubberDucks

Age 27 L/R 5'10" / 185 lbs AA K +5%HR +5% Svc 0.0 · Ctrl thru 2034

wRC+†54

AVG/OBP/SLG.187 / .272 / .276

PA170

HR2

K%34

BB%10

MLB%2%

Scouting · now → future

HIT

20→20

PWR

30→30

SPD

49→49

EYE

55→55

trajectory · 10 yrs

-0.2peak

2026

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$-6M		$-16M	-$10M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2022	23	A	2 teams	107	91	23	2	0	1	11	20	3	2	2	.253	.352	.308	.660	.055	.306	19	10	.304	91	-1	-0	+0	+1	+3	0.3
2023	24	A+	2 teams	432	379	81	18	6	7	44	122	4	5	0	.214	.302	.348	.650	.135	.290	28	10	.288	79	-10	+1	+0	+5	+12	0.8
2024	25	AA	2 teams	401	356	71	13	0	1	37	148	5	10	1	.199	.284	.244	.528	.045	.335	37	9	.243	44	-25	+2	+0	+4	+11	-0.8
2025	26	AA	2 teams	113	97	9	2	1	0	13	52	1	0	1	.093	.207	.134	.341	.041	.191	46	12	.172	-10	-14	-0	+0	+1	+3	-1.0
▸ 2026 Season
2026	27	MLB	CLE	170	150	29	6	1	2	16	59	2	2	0	.193	.280	.287	.566	.093	.288	35	9	.255	54	-9	+0	+0	+2	+5	-0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 9%	CLE	259	230	44	9	1	3	25	87	2	4	1	.191	.276	.278	.555	.087	.289	34	10	.261	58	-12	+0	-1	+3	+7	-0.3
2028	29	MLB 19%	CLE	299	265	52	10	2	4	29	98	3	4	1	.196	.283	.294	.577	.098	.288	33	10	.264	60	-14	+0	-1	+3	+8	-0.3
2029	30	MLB 29%	CLE	325	288	57	11	2	5	31	106	3	4	0	.198	.283	.302	.585	.104	.287	33	10	.264	60	-15	+1	-2	+3	+9	-0.3
2030	31	MLB 40%	CLE	318	282	55	11	2	4	30	105	3	3	0	.195	.279	.291	.570	.096	.286	33	9	.261	58	-15	+1	-3	+3	+9	-0.5
2031	32	MLB 49%	CLE	305	270	51	10	1	4	29	102	3	3	0	.189	.275	.278	.553	.089	.284	33	10	.257	55	-16	+1	-4	+3	+9	-0.7
2032	33	MLB 63%	CLE	278	248	45	9	1	3	26	95	2	2	0	.181	.264	.262	.527	.081	.282	34	9	.252	51	-15	+0	-4	+3	+8	-0.9
2033	34	MLB 81%	CLE	237	211	38	7	1	3	22	83	2	2	0	.180	.264	.265	.529	.085	.280	35	9	.246	46	-14	+0	-5	+3	+7	-1.0
▸ Career Totals (MLE all levels + projections)
Career	—			3244	2867	555	108	18	37	313	1077	33	41	6	.194	.280	.283	.563	.089	.292	33	10	.259	56	-161	+6	-20	+35	+92	-4.9
/ 162G	—			650	574	112	22	4	7	63	216	7	8	1	.195	.283	.284	.567	.089	.296	33	10	.259	56	-32	+1	-4	+7	+18	-1.0

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
2022	23	A+	Vancouver Canadians	39	32	9	0	0	0	7	6	0	1	2	.281	.410	.281	.692	.000	.346	15	18	.334	114	+1	-1	—	—	+1	0.1
2022	23	A	Dunedin Blue Jays	68	54	15	2	0	1	9	8	3	1	0	.278	.409	.370	.779	.093	.298	12	13	.353	128	+2	+0	—	—	+2	0.4
2023	24	AA	New Hampshire Fisher Cats	121	102	18	4	1	3	18	27	1	2	0	.176	.306	.324	.629	.147	.208	22	15	.292	82	-3	+0	—	—	+3	0.1
2023	24	A+	Vancouver Canadians	311	251	75	18	4	7	52	64	3	3	0	.299	.425	.486	.911	.187	.368	21	17	.400	164	+22	+1	—	—	+9	3.3
2024	25	AAA	Buffalo Bisons	105	97	19	3	0	0	8	35	0	1	0	.196	.257	.227	.484	.031	.306	33	8	.228	32	-8	+0	—	—	+3	-0.5
2024	25	AA	New Hampshire Fisher Cats	296	244	60	13	0	2	44	82	5	9	1	.246	.372	.324	.696	.078	.358	28	15	.324	106	+2	+1	—	—	+8	1.2
2025	26	AAA	Buffalo Bisons	28	23	3	1	0	0	4	8	0	0	0	.130	.259	.174	.433	.043	.188	29	14	.210	19	-3	+0	—	—	+1	-0.2
2025	26	AA	Akron RubberDucks	85	69	8	2	1	0	14	32	1	0	1	.116	.274	.174	.448	.058	.211	38	16	.226	31	-7	-0	—	—	+2	-0.5

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
Michael Turconi (OGILVIE)	27	20	30	49	55	.187/.272/.276	.089	.288	2	2	34%	10%	54	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Micah Gibbs 2015 · AA	27	39	39→30	47→45	44	.188/.264/.271	.083	.282	6	8	33%	8%	48	-1.9	.210/.266/.313	.103	.290	8	8	29%	7%	59	-1.1	.195/.246/.310	.115	.264	10	0	29%	6%	50	-0.3
✕Jackson Cluff 2023 · AA	26	36→29	40→45	48→55	36	.179/.243/.270	.091	.285	8	11	38%	6%	39	-2.5	.186/.268/.305	.119	.285	12	20	36%	9%	59	-1.1	.181/.273/.314	.132	.266	14	28	35%	10%	61	-0.6
✕Jake Lowery 2017 · AA	27	36	43→45	48→30	43	.183/.252/.292	.109	.264	10	5	33%	8%	48	-1.9	.194/.265/.297	.103	.312	9	6	37%	9%	55	-1.4	.125/.205/.184	.059	.260	4	0	49%	9%	0	-1.2
✕Jameson Fisher 2021 · AA	27	39→36	40→45	43→45	41	.188/.258/.280	.092	.292	8	6	36%	8%	48	-1.9	.220/.275/.343	.123	.313	13	6	32%	7%	70	-0.3	.235/.285/.380	.146	.314	17	2	30%	6%	80	+0.2
✕Evan Marzilli 2018 · AAA	27	44→45	38→40	50	48	.206/.284/.291	.085	.292	5	15	29%	9%	61	-1.0	.198/.275/.289	.091	.308	7	12	35%	9%	57	-1.2	.169/.248/.241	.072	.271	4	10	36%	9%	30	-1.0
✕Nolan Fontana 2018 · MLB	27	40→43	40	47→50	48	.195/.276/.291	.096	.272	7	11	29%	10%	59	-1.1	.196/.286/.314	.118	.276	10	11	30%	11%	69	-0.4	.155/.271/.269	.114	.221	9	6	31%	13%	51	-0.4
✕Ryan Aguilar 2022 · AA	27	38→41	43→45	50	41	.181/.265/.280	.099	.307	11	12	42%	9%	52	-1.6	.204/.296/.339	.135	.334	15	13	39%	10%	80	+0.4	.217/.319/.382	.165	.335	19	13	37%	12%	95	+0.9
✕Brian Jeroloman 2012 · AAA	27	43→38	40	41→40	49	.203/.292/.292	.089	.307	8	4	34%	11%	66	-0.6	.202/.276/.269	.067	.288	6	6	29%	9%	53	-1.5	.181/.264/.241	.061	.241	5	0	25%	10%	38	-0.8
✕Eric Jagielo 2018 · AAA	26	38→35	42→45	43→30	40	.191/.259/.288	.097	.275	10	2	33%	7%	50	-1.7	.184/.241/.291	.107	.277	11	4	36%	6%	43	-2.2	.158/.206/.269	.111	.240	13	1	39%	5%	20	-2.8
✕Justin Toerner 2023 · AAA	26	39	43→45	48→50	44	.190/.284/.298	.108	.293	11	10	36%	9%	65	-0.7	.190/.283/.309	.119	.284	13	11	35%	10%	66	-0.6	.126/.240/.244	.118	.172	15	9	35%	12%	32	-1.0
✕Steven Lerud 2012 · AAA	27	40→42	42→45	44→40	40	.198/.263/.298	.100	.279	10	3	31%	6%	55	-1.4	.202/.278/.296	.094	.303	8	4	33%	8%	60	-1.0	.202/.293/.284	.082	.291	7	2	30%	9%	62	-0.3
✕J.R. Hopf 2009 · AAA	26	41	40→45	48→40	43	.196/.263/.282	.086	.297	8	4	35%	8%	50	-1.7	.218/.277/.318	.100	.291	8	6	26%	7%	65	-0.7	.224/.274/.326	.102	.280	8	2	22%	6%	64	-0.3
✕Jason Delay 2023 · MLB	28	41	39→45	42→40	39	.202/.249/.290	.088	.280	7	5	30%	5%	45	-2.1	.221/.277/.307	.086	.290	5	5	24%	6%	62	-0.9	.215/.272/.281	.066	.278	3	2	22%	6%	49	-0.6
✕Jesus Loya 2019 · AAA	27	43	38→40	52→50	37	.209/.249/.285	.076	.284	6	13	28%	4%	43	-2.2	.216/.250/.321	.105	.282	11	6	27%	4%	53	-1.5	.207/.233/.292	.085	.266	10	0	26%	3%	38	-1.1
✕Yadiel Rivera 2019 · MLB	27	38→48	38→40	45→50	38	.187/.238/.257	.071	.270	6	7	32%	6%	32	-3.0	.216/.254/.318	.102	.312	12	16	33%	5%	55	-1.4	.224/.248/.329	.106	.322	14	23	35%	3%	50	-1.1
✕Shane Matheny 2022 · AA	26	38→42	43→45	47→50	39	.187/.250/.294	.107	.292	11	6	38%	7%	48	-1.9	.201/.285/.328	.127	.324	14	9	38%	10%	72	-0.2	.191/.281/.316	.125	.300	14	9	38%	10%	64	-0.5
✕Mitchell Tolman 2021 · AAA	27	44→47	40→45	46→50	44	.209/.280/.297	.088	.304	7	10	32%	8%	61	-1.0	.223/.291/.354	.131	.292	13	8	27%	7%	81	+0.4	.221/.294/.363	.142	.284	14	7	26%	7%	82	+0.3
✕Ethan Chapman 2017 · AA	27	45→46	37→30	46→55	43	.213/.267/.283	.070	.292	5	12	28%	7%	51	-1.7	.229/.282/.323	.094	.315	10	22	29%	6%	69	-0.4	.232/.284/.307	.075	.321	9	29	29%	5%	66	-0.3
✕Cody Bohanek 2021 · AAA	26	38→36	38→40	45→50	39	.179/.267/.254	.075	.295	6	11	38%	7%	46	-2.0	.179/.276/.286	.107	.293	9	15	39%	8%	59	-1.1	.155/.261/.260	.105	.255	9	18	39%	9%	45	-1.1
✕Willie Argo 2017 · AA	27	42→36	39→40	52→55	47	.200/.282/.280	.080	.283	7	19	30%	9%	58	-1.2	.197/.253/.328	.131	.305	14	15	38%	6%	58	-1.2	.160/.218/.290	.130	.244	15	17	40%	6%	33	-1.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)