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2023 Regional Projections: Buckley Regional

Finally, the start of the season we’ve all been waiting for. Throw out all the fast times from September, but apply all the lessons learned through the summer and fall. Regional week is here and with it comes the many projections and previews I’ll write.

Just as last year and throughout the season, I’m projecting these using race simulations. Through a season’s worth of speed ratings, one can determine a runner’s average rating and the variability of those ratings. Both those factors are then weighed towards more recent meets, which are then simulated thousands of times using a Monte Carlo analysis (also described by TullyRunners here). Over those thousands of race simulations, one can determine a team’s average place and average score, a runner’s average place, odds on winning, and odds on qualifying.

These are useful in cross country scenarios, where you have consistent runners and those who are a bit more up and down. For example:

Tanner TimeTanner RatingTanner Avg.Tanner StDev.
15:30210  
15:45205  
16:00200  
16:15195  
16:301902007.91
MIXCSR TimeMIXCSR RatingMIXCSR Avg.MIXCSR StDev.
16:09197  
16:12196  
16:15195  
16:18194  
16:211931951.58

Jacob at his best might be faster than I in four of the five races during the season. I’d almost never be All-State in Division 1, but he might contend for a top-5 spot or place 60th.

If we did 20 simulations, this is how it might turn out:

RaceTanner Avg.Tanner StDevTanner RatingMIXCSR Avg.MIXCSR StDevMIXCSR Rating
12007.9202.11951.6195.6
22007.9196.21951.6194.1
32007.9190.01951.6199.2
42007.9193.41951.6192.5
52007.9206.81951.6195.7
62007.9201.81951.6196.1
72007.9171.61951.6194.9
82007.9189.21951.6195.9
92007.9205.51951.6197.0
102007.9203.81951.6192.6
112007.9192.31951.6196.5
122007.9196.91951.6196.4
132007.9198.51951.6195.6
142007.9203.21951.6194.1
152007.9193.91951.6192.6
162007.9199.31951.6193.2
172007.9208.71951.6194.2
182007.9213.71951.6194.6
192007.9212.61951.6197.1
202007.9206.31951.6193.9

I’d win four times, but I’d never have the ability to win a title like he had in Race 18. He’s usually All-State, but may cost his team a title through his effort in Race 7.

The simulations give the possibilities of those scenarios and all the various scoring scripts. A sixth girl that can pop off on any certain day, a reliable boy who always runs 17-flat, you name it. Hopefully, they better elucidate our contenders, qualifiers, and how these races play out over the weekend.

But always remember, races aren’t run on paper or on a computer. These projections are meant to better our sport, give more attention where little is given. Although I take pride in their accuracy, this endeavor would be quite boring if it were always perfect. I look forward to these being proven wrong and I expect to hear about it as well.

SUMMER PREVIEW
MID-SEASON

GIRLS

Ranked Teams

#9 Buckley
#12 Grand Traverse Academy
#13 Mason County Eastern
#26 Leland

Projected Individual Qualifier Cutoff

18th place.

Projected PlaceTeamAvg. ScoreAvg. PlaceWin %Top 3 %
1Buckley431.37195+
2Grand Traverse Academy521.82995+
3Mason County Eastern702.995+
4Leland1054.1
5Frankfort1205.1
6Lake Leelanau St. Mary1305.8
7Pentwater1717.0

Projected PlaceGradeNameTeamAvg. Place
112Aiden HarrandBuckley1.0
211Ella KnudsenLeland2.2
39Addy ZellerBear Lake-Onekama3.9
410Kinsey PeerBuckley7.5
59Addison PatrzikGrand Traverse Academy7.6
610Lauren NiedzielskiMason County Eastern8.6
710Brooklynn FrazeeBuckley8.8
812Paige BellGrand Traverse Academy10.1
910Shenoah CollierGrand Traverse Academy10.7
1011Lucy ShoupMason County Eastern10.8
119Mikayla KulawiakBuckley11.3
1210Addison ChownykFrankfort12.4
139Natalie BurpeeLeland12.5
148Claire CouturierLake Leelanau St. Mary13.4
159Bailey StephenGrand Traverse Academy15.3
1610Jennifer KmiecikBear Lake-Onekama15.9
179Brailyn JohnsonMason County Eastern16.7
1812Abby KisslingBrethren20.3
199Addison MalburgMason County Eastern21.9
2010Natalie BrownBear Lake-Onekama22.8
219Kaylee SwansonBuckley23.0
2212Olivia WingMason County Eastern23.1
239Ellen SchwaigerLeland23.1
2410Sofia AlaimoFrankfort23.5
259Madison SmithGrand Traverse Academy24.8
2612Ava ButeraGrand Traverse Academy24.8
279Bailey CasePentwater25.4
289Tess HoedelGrand Traverse Academy25.7
2912Kendra CouturierLake Leelanau St. Mary26.9
3011Emily AlaimoMaple City Glen Lake28.2

BOYS

Ranked Teams

#5 Mason County Eastern
#11 Maple City Glen Lake
#19 Frankfort
#27 Pentwater

Projected Individual Qualifier Cutoff

17th place.

Projected PlaceTeamAvg. ScoreAvg. PlaceWin %Top 3 %
1Mason County Eastern601.095+95+
2Maple City Glen Lake862.195+
3Frankfort1032.995+
4Pentwater1294.4
5Leland1365.0
6Bear Lake-Onekama1496.0
7Lake Leelanau St. Mary1707.7
8Mesick1717.8
9Grand Traverse Academy1788.2
10Walkerville25010.0

Projected PlaceGradeNameTeamAvg. Place
111Mason SinkeBear Lake-Onekama1.8
212Abe VanDuinenPentwater2.6
39Kyle RedmanMesick3.3
411Colebrook SutherlandMaple City Glen Lake4.2
511Alex TyndallMason County Eastern4.6
69Ty RedmanMesick5.4
712Kaden ForwardBear Lake-Onekama6.4
812Mitchel DanielsPentwater8.7
99Sebastian DunawayFrankfort9.8
1011Carroll RobothamFrankfort10.6
1112Luke NiedzielskiMason County Eastern11.5
129Abraham FeeneyMaple City Glen Lake12.9
1311Henry MalburgMason County Eastern14.0
149Milo ShoupMason County Eastern15.0
1512Peter HybzaMason County Eastern15.5
1610Keith CromptonFrankfort15.7
1712Agustin CreamerLeland16.0
1810Liam McCawMaple City Glen Lake17.0
1911Greyson HoeflingerMason County Eastern19.6
2011Parker RubinGrand Traverse Academy20.1
2110Cody CouturierLake Leelanau St. Mary21.5
2210Matthew BentleyBuckley22.4
239Evan KeenLeland24.4
2410Oliver MitchellLake Leelanau St. Mary24.9
259Joel MartinMaple City Glen Lake27.2
269Aron MascorroWalkerville30.0
2711Ron HasenbankMason County Eastern30.2
2810Wyatt RobertsPentwater30.2
2910Easton NowakBear Lake-Onekama31.5
3010Jacob PlamondonMaple City Glen Lake32.2

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