Giacomo Taschin

P Dunedin Blue Jays

Age 20 LHP A Svc 0.0 · Ctrl thru 2037 peak 0.6 · 2031

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1248ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	19	MIX2 levels	16	11	52	5.16	4.72	28.9%	10.7%	—	K 20.6% · BB 12.8% · FIP 6.52
2027PROJ	20	MLBTOR	—	—	0	5.09	5.09	21.3%	12.2%	—
2028PROJ49% MLB	21	MLBTOR	4	4	21	4.91	4.84	21.9%	11.1%	0.1
2029PROJ73% MLB	22	MLBTOR	6	6	32	4.70	4.59	22.9%	10.1%	0.3

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Career WAR0.0 WAR median (P10 -0.2 / P90 3.7, comp-based) · star 2% · didn't stick 88%

CompsSonny Vargas (age 20) · Jordan Woods (age 20) · Bailey Horn (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114122vR 130

ERA5.09

FIP5.09

K%21.3%

BB%12.2%

K-BB%9.1%

Proj IP37

Value2027 · WAR

Runs saved vs league avg · 37 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$22M ctrl surplus

Grades · Contract

Scouting Grades

K†5060

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
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	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$5M	+$3M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2026	19	MIX MLE	2 levels	16	11	52	225	65	24	11	69%	3.3	20.6%	12.8%	7.7%	6.4%	5.16	6.52	—
2026	19	MIX MLE	2 levels	16	11	52	225	65	24	11	69%	3.3	20.6%	12.8%	7.7%	6.4%	5.16	6.52	—
2026	19	MIX RAW	2 levels	16	11	52	225	65	24	11	69%	3.3	28.9%	10.7%	18.2%	4.9%	5.16	4.72	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	20	MLB	TOR	—	—	0	—	—	—	—	—	—	21.3%	12.2%	9.1%	3.4%	5.09	5.09	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	21	MLB MLE	TOR	9	9	43	183	40	20	6	100%	4.8	21.9%	11.1%	10.8%	3.3%	4.91	4.84	+0.3
2029	22	MLB MLE	TOR	9	9	44	186	43	19	6	100%	4.9	22.9%	10.1%	12.8%	3.2%	4.70	4.59	+0.4
2030	23	MLB MLE	TOR	8	8	45	190	45	18	6	100%	5.6	23.6%	9.5%	14.2%	3.2%	4.53	4.42	+0.5
2031	24	MLB MLE	TOR	8	8	45	190	46	17	6	100%	5.6	24.2%	9.1%	15.1%	3.1%	4.39	4.30	+0.6
2032	25	MLB MLE	TOR	8	8	44	186	46	16	6	100%	5.5	24.6%	8.8%	15.7%	3.1%	4.30	4.23	+0.6
2033	26	MLB MLE	TOR	7	7	45	188	47	17	6	100%	6.4	24.8%	8.8%	16.0%	3.1%	4.25	4.21	+0.6
2034	27	MLB MLE	TOR	7	7	44	184	45	16	6	100%	6.2	24.7%	8.9%	15.9%	3.2%	4.25	4.25	+0.6
2028	21	MLB CTX	TOR	4	4	21	89	19	10	3	100%	5.2	21.9%	11.1%	10.8%	3.3%	4.91	4.84	+0.1
2029	22	MLB CTX	TOR	6	6	32	135	31	14	4	100%	5.3	22.9%	10.1%	12.8%	3.2%	4.70	4.59	+0.3
2030	23	MLB CTX	TOR	7	7	38	160	38	15	5	100%	5.4	23.6%	9.5%	14.2%	3.2%	4.53	4.42	+0.4
2031	24	MLB CTX	TOR	7	7	40	169	41	15	5	100%	5.7	24.2%	9.1%	15.1%	3.1%	4.39	4.30	+0.5
2032	25	MLB CTX	TOR	7	7	40	169	41	15	5	100%	5.7	24.6%	8.8%	15.7%	3.1%	4.30	4.23	+0.6
2033	26	MLB CTX	TOR	7	7	42	177	44	16	6	100%	6.0	24.8%	8.8%	16.0%	3.1%	4.25	4.21	+0.6
2034	27	MLB CTX	TOR	7	7	41	173	43	15	5	100%	5.9	24.7%	8.9%	15.9%	3.2%	4.25	4.25	+0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		46	46	255	1076	258	100	34	100%	5.5	24.0%	9.3%	14.7%	3.2%	4.43	3.99	+4.3
/ 200 IP	—	RAW		36	36	200	844	203	79	27	100%	5.6	24.0%	9.3%	14.7%	3.2%	4.43	3.99	+3.4
Career	—	MLE		16	11	52	225	46	29	14	69%	3.3	20.6%	12.8%	7.7%	6.4%	5.16	6.52	+3.6
/ 200 IP	—	MLE		61	42	200	860	177	110	55	69%	3.3	20.6%	12.8%	7.7%	6.4%	5.16	6.52	+2.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ADunedin Blue Jays · 30 IPFIP 6.20 → 8.13 (+1.92)K% 25.0% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.740	18.50%
BB% (unintentional) /BF	12.50%	—	×1.180	14.75%
HR / BF /BF	6.62%	÷1.000	×1.300	8.60%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 6.20 → 8.13, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2026 ROKFCL Blue Jays · 23 IPFIP 2.39 → 4.07 (+1.68)K% 34.8% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.83%	—	×0.680	23.69%
BB% (unintentional) /BF	7.87%	—	×1.250	9.83%
HR / BF /BF	2.25%	÷1.000	×1.400	3.15%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 2.39 → 4.07, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Giacomo Taschin (OGILVIE)	—	—	5.09	21.3%	12.2%	3.4%	—	4.61	22.8%	12.6%	132	-0.48	—	—	—
Sonny Vargas L 2021 · 4.54 FIP	20	SP-	4.54	21.0%	10.1%	3.5%	.300	—	—	—	—	—	3.20	165	87
Jordan Woods L 2024 · 4.51 FIP	20	SP	4.51	20.5%	10.3%	3.3%	.329	4.18	20.5%	8.3%	139	-0.33	3.92	170	83
Bailey Horn L 2021 · 4.99 FIP	23	SP-	4.99	19.7%	12.7%	3.6%	.300	4.60	22.3%	10.3%	152	-0.39	3.90	265	81
Thomas Ireland L 2023 · 4.64 FIP	21	SP-	4.64	16.7%	8.7%	3.4%	.286	3.79	17.1%	7.8%	206	-0.85	2.95	250	80
Raúl Alcantara L 2021 · 4.31 FIP	20	SP-	4.31	19.6%	12.8%	2.3%	.295	4.50	19.0%	4.2%	229	+0.19	3.82	396	79
Carlos Meza L 2021 · 5.03 FIP	20	SP-	5.03	15.5%	12.2%	3.1%	.325	4.67	20.6%	4.4%	138	-0.36	3.72	229	78
Erik Rivera L 2024 · 5.71 FIP	23	SP-	5.71	19.0%	14.6%	4.3%	.255	4.74	23.9%	6.3%	106	-0.97	4.42	141	78
Rylan Kaufman L 2021 · 4.60 FIP	22	SP	4.60	19.3%	12.1%	2.9%	.305	4.75	18.9%	4.5%	131	+0.15	4.01	212	78
Mac Lardner L 2021 · 4.75 FIP	23	SP-	4.75	18.9%	8.5%	4.0%	.332	4.34	17.5%	8.1%	119	-0.41	3.66	186	78
Nate Peterson L 2023 · 4.46 FIP	23	SP-	4.46	18.4%	11.4%	2.7%	.284	5.04	17.2%	5.3%	241	+0.58	4.27	315	78
Pablo Aldonis L 2022 · 4.19 FIP	20	SP-	4.19	20.7%	8.0%	3.3%	.324	2.64	21.9%	13.1%	68	-1.55	1.89	135	77
Bodi Rascon L 2021 · 4.18 FIP	20	SP-	4.18	15.4%	8.8%	2.3%	.271	5.30	15.7%	3.9%	143	+1.12	4.18	218	77
Elier Morillo L 2023 · 4.12 FIP	17	SP-	4.12	18.1%	12.7%	1.7%	.418	4.31	28.7%	8.3%	89	+0.19	2.67	115	76
Scott Olsen L 2005 · 5.56 FIP	21	SP-	5.56	23.1%	11.0%	5.5%	.291	4.60	16.9%	8.3%	559	-0.96	4.15	723	76
Steven Pérez L 2021 · 5.07 FIP	20	SW	5.07	18.3%	11.4%	3.8%	.305	4.81	20.2%	5.6%	116	-0.26	3.71	358	76
Alex Ayala Jr. L 2022 · 4.20 FIP	20	SW	4.20	20.7%	12.3%	2.3%	.271	5.99	13.6%	-3.1%	71	+1.79	4.20	128	76
Tommy Sommer L 2021 · 4.65 FIP	22	SP-	4.65	23.9%	9.3%	4.3%	.196	5.36	18.6%	6.1%	205	+0.71	4.28	230	76
Kyle Twomey L 2016 · 4.07 FIP	22	SP-	4.07	17.6%	10.5%	2.1%	.298	3.96	14.8%	6.9%	68	-0.11	3.96	141	75
Andrew Faulkner L 2015 · 4.74 FIP	22	SP-	4.74	18.0%	12.8%	2.8%	.290	4.06	17.7%	6.6%	142	-0.68	3.70	252	75
Matt Mikulski L 2022 · 4.92 FIP	23	SP-	4.92	19.4%	10.0%	4.0%	.360	6.03	16.3%	-2.8%	144	+1.11	4.92	223	74

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.7	43	23.5%	9.7%	1.24	4.54
Jacob Barnes ('25)	1.7	48	22.0%	9.2%	1.15	4.79
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Scott Service ('04)	2.1	46	22.2%	9.9%	1.23	5.04
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*
Bill Pleis ('61-'66, -0 WAR*)	1.4	56	19.7%*	9.8%*	1.15*	4.53*
Xavier Hernandez ('89-'98, 3 WAR*)	3.4	67	23.9%*	9.1%*	1.12*	4.20*