Cedric De Grandpre

P Rome Emperors

Age 25 RHP 6'2" / 210 lbs A+ Svc 0.0 · Ctrl thru 2034 peak 0.8 · 2028

Overview

A+PROSPECTMiLBFA 2035

OGV OFP35OGV rank#815ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	21	MIX2 levels	19	17	87	3.95	2.58	24.0%	6.0%	—	K 18.2% · BB 7.0% · FIP 3.38
2025	23	MIX2 levels	15	15	60	3.28	2.83	29.6%	16.1%	—	K 21.6% · BB 20.1% · FIP 4.17
2026	24	MIX3 levels	27	26	130	4.23	3.39	29.0%	10.8%	—	K 23.4% · BB 11.2% · FIP 4.17
2027PROJ	25	MLBATL	—	—	0	4.89	4.89	22.5%	13.7%	—
2028PROJ43% MLB	26	MLBATL	7	7	40	4.81	4.80	22.6%	13.1%	0.3
2029PROJ63% MLB	27	MLBATL	9	9	53	4.78	4.80	22.6%	12.8%	0.4

Next 3 projected WAR 0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$0.4M2033Ext$5M2034Ext$7M

Career WAR0.0 WAR median (P10 -0.2 / P90 4.6, comp-based) · star 1% · didn't stick 73%

CompsDavid Griffin (age 25) · Cade Smith (age 22) · Connor Staine (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 110

ERA4.89

FIP4.89

K%22.5%

BB%13.7%

K-BB%8.7%

Proj IP73

Value2027 · WAR

Runs saved vs league avg · 73 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$10M ctrl surplus

Contract

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
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2030	Pre-Arb	$0.8M	+0.4	$1M	+$0.7M
2031	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2032	Arb-1	$0.4M	+0.2	$0.5M	+$0.3M
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$4M	+$2M

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)
2022	20	MIX MLE	2 levels	5	2	9	41	12	4	0	40%	1.7	29.3%	9.8%	19.5%	0.0%	8.31	1.86	—
2022	20	MIX RAW	2 levels	5	2	9	41	12	4	0	40%	1.7	29.3%	9.8%	19.5%	0.0%	8.31	1.72	—
2023	21	MIX MLE	2 levels	19	17	87	366	88	22	5	89%	4.6	18.2%	7.0%	11.2%	1.7%	3.95	3.38	—
2023	21	MIX RAW	2 levels	19	17	87	366	88	22	5	89%	4.6	24.0%	6.0%	18.0%	1.4%	3.95	2.58	—
2025	23	MIX MLE	2 levels	15	15	60	267	79	43	1	100%	4.0	21.6%	20.1%	1.6%	0.6%	3.28	4.17	—
2025	23	MIX MLE	2 levels	15	15	60	267	79	43	1	100%	4.0	21.6%	20.1%	1.6%	0.6%	3.28	4.17	—
2025	23	MIX RAW	2 levels	15	15	60	267	79	43	1	100%	4.0	29.6%	16.1%	13.5%	0.4%	3.28	2.83	—
2026	24	MIX MLE	3 levels	27	26	130	558	162	60	14	96%	4.8	23.4%	11.2%	12.2%	3.0%	4.23	4.17	—
2026	24	MIX MLE	3 levels	27	26	130	558	162	60	14	96%	4.8	23.4%	11.2%	12.2%	3.0%	4.23	4.17	—
2026	24	MIX RAW	3 levels	27	26	130	558	162	60	14	96%	4.8	29.0%	10.8%	18.3%	2.5%	4.23	3.39	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	ATL	—	—	0	—	—	—	—	—	—	22.5%	13.7%	8.7%	2.8%	4.89	4.89	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	ATL	16	16	94	396	90	52	11	100%	5.9	22.6%	13.1%	9.5%	2.9%	4.81	4.80	+0.6
2029	27	MLB MLE	ATL	14	14	85	358	81	46	10	100%	6.1	22.6%	12.8%	9.8%	2.9%	4.78	4.80	+0.6
2030	28	MLB MLE	ATL	13	13	79	334	75	42	10	100%	6.1	22.4%	12.7%	9.8%	3.0%	4.81	4.85	+0.5
2031	29	MLB MLE	ATL	12	12	73	308	68	39	10	100%	6.1	22.2%	12.8%	9.4%	3.2%	4.90	4.97	+0.4
2032	30	MLB MLE	ATL	11	11	66	278	61	36	9	100%	6.0	21.8%	13.1%	8.8%	3.4%	5.05	5.15	+0.2
2028	26	MLB CTX	ATL	7	7	40	169	38	22	5	100%	5.7	22.6%	13.1%	9.5%	2.9%	4.81	4.80	+0.3
2029	27	MLB CTX	ATL	9	9	53	224	51	29	7	100%	5.9	22.6%	12.8%	9.8%	2.9%	4.78	4.80	+0.4
2030	28	MLB CTX	ATL	10	10	59	249	56	32	8	100%	5.9	22.4%	12.7%	9.8%	3.0%	4.81	4.85	+0.4
2031	29	MLB CTX	ATL	10	10	59	249	55	32	8	100%	5.9	22.2%	12.8%	9.4%	3.2%	4.90	4.97	+0.3
2032	30	MLB CTX	ATL	9	9	56	236	52	31	8	100%	6.2	21.8%	13.1%	8.8%	3.4%	5.05	5.15	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		45	45	269	1135	253	146	35	100%	6.0	22.3%	12.9%	9.4%	3.1%	4.87	4.54	+2.7
/ 200 IP	—	RAW		33	33	200	844	188	109	26	100%	6.0	22.3%	12.9%	9.4%	3.1%	4.87	4.54	+2.0
Career	—	MLE		66	60	285	1232	267	145	25	91%	4.3	21.6%	11.8%	9.8%	2.0%	4.07	3.86	+2.3
/ 200 IP	—	MLE		46	42	200	864	187	102	17	91%	4.3	21.6%	11.8%	9.8%	2.0%	4.07	3.86	+1.2

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 A+Rome Emperors · 55 IPFIP 3.23 → 4.47 (+1.24)K% 33.1% → 25.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.05%	—	×0.770	25.45%
BB% (unintentional) /BF	10.17%	—	×1.150	11.69%
HR / BF /BF	2.97%	÷1.000	×1.250	3.71%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. 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 3.23 → 4.47, 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 AAAGwinnett Stripers · 44 IPFIP 4.39 → 4.67 (+0.28)K% 22.8% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.84%	—	×0.860	19.64%
BB% (unintentional) /BF	12.18%	—	×0.900	10.96%
HR / BF /BF	3.05%	÷1.000	×1.100	3.35%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. 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 4.39 → 4.67, 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 AAColumbus Clingstones · 31 IPFIP 2.12 → 2.83 (+0.71)K% 31.2% → 25.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.20%	—	×0.810	25.27%
BB% (unintentional) /BF	9.60%	—	×1.100	10.56%
HR / BF /BF	0.80%	÷1.000	×1.200	0.96%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. 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 2.12 → 2.83, 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).

2025 A+Rome Emperors · 53 IPFIP 3.17 → 4.17 (+1.00)K% 28.1% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.09%	—	×0.770	21.63%
BB% (unintentional) /BF	17.45%	—	×1.150	20.06%
HR / BF /BF	0.43%	÷0.819	×1.250	0.65%

Result: FIP 3.17 → 4.17, 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).

2025 ROKFCL Braves · 7 IPFIP 0.46 → 1.76 (+1.30)K% 40.6% → 27.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.62%	—	×0.680	27.62%
BB% (unintentional) /BF	6.25%	—	×1.250	7.81%
HR / BF /BF	0.00%	÷0.856	×1.400	0.00%

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 71).

Result: FIP 0.46 → 1.76, 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).

2023 A+Rome Braves · 54 IPFIP 3.12 → 3.83 (+0.71)K% 19.9% → 15.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.92%	—	×0.770	15.34%
BB% (unintentional) /BF	6.22%	—	×1.150	7.16%
HR / BF /BF	1.66%	÷1.022	×1.250	2.03%

Result: FIP 3.12 → 3.83, 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).

2023 AAugusta GreenJackets · 32 IPFIP 1.55 → 2.52 (+0.98)K% 32.0% → 23.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.00%	—	×0.740	23.68%
BB% (unintentional) /BF	5.60%	—	×1.180	6.61%
HR / BF /BF	0.80%	÷0.976	×1.300	1.07%

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 95).

Result: FIP 1.55 → 2.52, 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).

2022 AAugusta GreenJackets · 6 IPFIP 2.54 → 3.43 (+0.89)K% 26.7% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.67%	—	×0.740	19.73%
BB% (unintentional) /BF	13.33%	—	×1.180	15.73%
HR / BF /BF	0.00%	÷1.127	×1.300	0.00%

Result: FIP 2.54 → 3.43, 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
Cedric De Grandpre (OGILVIE)	—	—	—	—	—	2.8%	—	4.82	22.5%	9.7%	258	-0.07	—	—	—
David Griffin R 2021 · 4.43 FIP	25	SP	4.43	19.2%	11.9%	2.6%	.279	5.25	15.4%	5.9%	168	+0.82	4.43	239	85
Cade Smith R 2024 · 3.86 FIP	22	SP	3.86	23.2%	13.3%	1.9%	.273	5.35	18.2%	6.6%	157	+1.49	3.86	243	84
Connor Staine R 2024 · 4.80 FIP	23	SP	4.80	20.3%	12.6%	3.3%	.266	5.19	16.1%	3.4%	230	+0.39	3.86	414	83
Luke Russo R 2024 · 3.74 FIP	23	SP	3.74	21.7%	11.1%	1.9%	.326	5.00	19.6%	8.8%	159	+1.26	3.74	260	82
Brett Daniels R 2021 · 4.67 FIP	25	SP-	4.67	22.3%	13.0%	3.3%	.357	4.69	18.9%	3.2%	77	+0.02	3.95	270	82
Hayden Minton R 2024 · 4.04 FIP	23	SP	4.04	19.7%	12.3%	1.9%	.357	4.53	19.4%	10.3%	187	+0.49	4.04	280	82
Luis Quiñones R 2022 · 4.77 FIP	25	SP	4.77	23.5%	17.5%	2.6%	.289	4.80	22.4%	10.8%	160	+0.03	3.69	326	82
Zach Fruit R 2024 · 4.29 FIP	24	SP	4.29	19.3%	14.1%	1.9%	.258	5.03	15.4%	-0.2%	44	+0.74	4.29	151	82
Dylan Burns R 2022 · 4.21 FIP	25	SP	4.21	17.1%	10.8%	2.2%	.300	4.87	11.6%	-2.4%	41	+0.66	4.21	120	81
David Lebron R 2019 · 4.28 FIP	25	SP-	4.28	18.6%	14.2%	1.7%	.336	5.56	26.7%	12.0%	62	+1.28	4.28	144	81
Nic Swanson R 2024 · 4.91 FIP	25	SP	4.91	19.3%	11.8%	3.5%	.286	5.43	19.9%	6.5%	132	+0.52	4.29	438	81
Will Sanders R 2024 · 4.95 FIP	22	SP	4.95	19.3%	11.8%	3.6%	.297	4.11	20.1%	12.5%	173	-0.84	3.92	266	81
Will Schomberg R 2024 · 4.85 FIP	23	SP	4.85	21.4%	15.6%	2.9%	.266	3.86	23.3%	11.7%	90	-0.99	3.86	206	80
Joel Hanrahan R 2007 · 5.58 FIP	25	SP	5.58	17.4%	15.4%	3.6%	.318	3.06	27.8%	18.1%	218	-2.52	2.08	397	80
Juaron Watts-Brown R 2024 · 5.25 FIP	22	SP	5.25	21.8%	15.4%	3.7%	.294	4.92	22.8%	10.9%	221	-0.33	4.16	324	79
Rorik Maltrud R 2024 · 3.91 FIP	24	SP-	3.91	20.4%	9.6%	2.4%	.300	4.40	18.6%	9.4%	193	+0.49	3.91	298	79
Khristian Curtis R 2024 · 5.48 FIP	22	SP	5.48	18.8%	14.4%	3.9%	.275	4.62	20.6%	8.4%	216	-0.86	4.60	291	79
Britt Reames R 2000 · 4.49 FIP	26	SP	4.49	18.2%	12.9%	2.4%	.230	4.35	21.9%	11.5%	163	-0.14	3.76	204	79
Josh Bostick R 2024 · 4.65 FIP	22	SP	4.65	19.3%	11.2%	3.2%	.304	5.40	21.7%	12.6%	119	+0.75	4.65	226	79
J.P. France R 2019 · 5.32 FIP	24	SP-	5.32	17.9%	13.9%	3.6%	.285	4.24	26.3%	15.2%	225	-1.08	4.04	577	78

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	2.3	78	22.4%	13.0%	1.17	4.86
Paul Spoljaric ('00)	1.4	69	22.1%	12.9%	1.33	5.52
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Dennis Higgins ('66-'72, 1 WAR*)	2.1	82	24.5%*	12.2%*	0.94*	4.34*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Brian Boehringer ('04)	2.7	67	18.2%	11.5%	1.08	4.36
Jay Witasick ('07)	3.7	73	19.6%	11.0%	1.19	4.64