Season Recap

The UVA men’s basketball team won the national championship one year after being the first 1 seed to lose to a 16 seed. It was a season of redemption.

My Experience of the Season

What Games I Went To or Watched During the Season

  • Coppin St. We killed them.
  • Wake Forest.
    • I went because I found $5 tickets because no one cares about Wake Forest
  1. I didn’t go to the Duke game because it cost $500
  2. But I watched on TV

Two Photos That Illustrate the Season

March Madness

Round Opponent Score
1 Gardner Webb 71-56
2 Oklahoma 63-51
3 Oregon 53-49
4 Purdue 80-75
5 Auburn 63-62
6 Texas Tech 85-77

UVA Men’s Basketball Players

Roster

roster <- read.csv("uva_roster.csv")
knitr::kable(roster)
Player Number Class Pos Height Weight Hometown
Kyle Guy 5 JR G 6-2 175 Indianapolis, IN
De’Andre Hunter 12 SO G 6-7 225 Philadelphia, PA
Ty Jerome 11 JR G 6-5 195 New Rochelle, NY
Mamadi Diakite 25 JR F 6-9 228 Conakry, Guinea
Braxton Key 2 JR G 6-8 225 Charlotte, NC
Kihei Clark 0 FR G 5-9 155 Woodland Hills, CA
Jay Huff 30 SO F 7-1 232 Durham, NC
Jack Salt 33 SR C 6-10 250 Auckland, New Zealand
Kody Stattmann 23 FR G 6-7 187 Bentley Park, Australia
Marco Anthony 24 SO G 6-4 212 San Antonio, TX
Grant Kersey 1 FR G 6-1 160 Charlottesville, VA
Austin Katstra 45 SO F 6-6 217 Charlottesville, VA
Jayden Nixon 10 FR G 6-3 189 Charlottesville, VA
Francesco Badocchi 1 FR F 6-7 205 Milan, Italy

The average weight of a UVA player is 203.9.

Team Statistics

Offense

offense <- read.csv("uva_offense.csv")
knitr::kable(offense)
Player G MP FG FGA FG. X3P. FT. TRB AST PTS
Kyle Guy 38 1345 198 441 0.449 0.426 0.833 171 78 586
De’Andre Hunter 38 1234 205 394 0.520 0.438 0.783 193 75 579
Ty Jerome 37 1256 178 409 0.435 0.399 0.736 157 202 502
Mamadi Diakite 38 829 121 220 0.550 0.294 0.700 168 12 282
Braxton Key 38 751 74 171 0.433 0.305 0.731 200 38 215
Kihei Clark 38 1019 55 157 0.350 0.341 0.825 89 97 172
Jay Huff 34 317 58 96 0.604 0.452 0.667 73 8 150
Jack Salt 37 615 56 93 0.602 NA 0.511 138 16 136
Kody Stattmann 18 73 9 21 0.429 0.267 0.889 11 2 30
Marco Anthony 22 119 8 27 0.296 0.286 0.667 12 11 26
Grant Kersey 10 17 3 3 1.000 1.000 1.000 2 1 13
Austin Katstra 11 29 4 10 0.400 0.250 NA 6 3 10
Jayden Nixon 14 42 3 10 0.300 0.000 0.500 8 1 8
Francesco Badocchi 11 28 2 4 0.500 0.000 0.500 6 0 NA

Defense

defense <- read.csv("uva_defense.csv")
knitr::kable(defense)
Player DRB STL BLK TOV PF
Kyle Guy 144 26 2 53 39
De’Andre Hunter 141 22 22 52 76
Ty Jerome 140 57 1 61 64
Mamadi Diakite 112 17 63 34 81
Braxton Key 150 36 21 28 66
Kihei Clark 73 28 0 39 52
Jay Huff 54 8 25 17 50
Jack Salt 83 12 11 24 80
Kody Stattmann 9 1 0 5 8
Marco Anthony 12 0 1 8 10
Grant Kersey 1 2 0 2 0
Austin Katstra 5 0 1 1 4
Jayden Nixon 5 2 2 4 10
Francesco Badocchi 3 0 0 0 2

Points vs. Rebounds

I want to see if having more rebounds leads to scoring more points.

library(ggplot2)
ggplot(offense, aes(x=TRB, y=PTS)) +
  geom_point() +
  xlab("Total season rebounds") +
  ylab("Total season points") +
  ggtitle("UVA Points vs. Rebounds") +
  geom_smooth(method="lm")
## Warning: Removed 1 rows containing non-finite values (stat_smooth).
## Warning: Removed 1 rows containing missing values (geom_point).