Publications by Dylan Kinion
Shot Quality Difference
Insights/Analysis: 66% of games can be predicted by shot quality difference (postive = win, negative = loss) Nuggets had a positive shot quality difference in 63% of games. Nuggets won 76%(35) of those games, which accounts for 71% of total team wins. Nuggets won 75% of games it lead shot quality difference by more than 1 percentage point. Nugget...
1111 sym R (2251 sym/8 pcs)
Shot Quality Difference - Wolves
Insights/Analysis: Shot Quality difference is conistent with outcome 64% of the games (negative difference = loss, postive difference = win) Wolves had positive shot quality difference in 66% of games. Wolves won 61% of those games which accounts for 81% of total team wins. Wolves won 68% of games they led by 1 or more shot quality difference per...
798 sym R (2299 sym/8 pcs)
Contenders Rotation
Tracking the rotation sizes of NBA contenders (top 3 in conference in reg. season) as the season progresses. Teams tend to shrink their rotations as the season progresses but there are teams like the 76ers who counter this trend by playing deeper rotations later in the year. Teams have a tendency to increase rotation size in the month before the p...
1186 sym R (15806 sym/43 pcs)
Contender's Rotations
Tracking the rotation sizes of NBA contenders (top 3 in conference in reg. season) as the season progresses. Teams tend to shrink their rotations as the season progresses but there are teams like the 76ers who counter this trend by playing deeper rotations later in the year. Teams have a tendency to increase rotation size in the month before the p...
1186 sym R (15806 sym/43 pcs)
Noah Clowney
Team: Alabama library(tidyverse) library(gt) library(gtExtras) library(dplyr) library(reactable) library(reactablefmtr) Category <- c("Games", "Minutes") Value <- c(33,25.6) cbind(Category, Value) %>% reactable( theme = espn()) Notes: Strengths Quick, high shot release. Good hands in traffic. Can roll to the basket or pop to three point line in ...
805 sym R (1861 sym/6 pcs) 2 tbl
Brandon Miller Update
Team: Alabama library(tidyverse) library(gt) library(gtExtras) library(dplyr) library(reactable) library(reactablefmtr) Category <- c("Games", "Minutes") Value <- c(34,33.1) cbind(Category, Value) %>% reactable( theme = espn()) Notes: Strengths Quick, high shot release (borderline no-dip shooter already.) Active relocating around perimeter. Atta...
843 sym R (1885 sym/6 pcs) 2 tbl
Draft pick value
library(tidyverse) library(reactable) library(reactablefmtr) library(nbastatR) library(dplyr) library(hoopR) library(reactable) library(reactablefmtr) library(plotly) Sys.setenv("VROOM_CONNECTION_SIZE" = 131072 * 2) mins_draft <- right_join(minutes, dr) %>% mutate( min_per_year = total/(2022-yearDraft)) %>% select(namePlayer, total, ...
260 sym R (5554 sym/25 pcs)
Julian Strawther
Team: Gonzaga library(tidyverse) library(gt) library(gtExtras) library(dplyr) library(reactable) library(reactablefmtr) Category <- c("Games", "Minutes") Value <- c(31,30.7) cbind(Category, Value) %>% reactable( theme = espn()) Notes: Strengths Quick shot release (borderline no dip shooter) with deep NBA range. NBA length and athleticism. Weakn...
804 sym R (1824 sym/6 pcs) 2 tbl
Drew Timme
Team: Gonzaga library(tidyverse) library(gt) library(gtExtras) library(dplyr) library(reactable) library(reactablefmtr) Category <- c("Games", "Minutes") Value <- c(31,31.6) cbind(Category, Value) %>% reactable( theme = espn()) Notes: Strengths Great footwork and touch around basket, elite spin move. Tight handle. Weaknesses Not a vertical ath...
561 sym R (1855 sym/6 pcs) 2 tbl
Judah Mintz
Team: Syracuse library(tidyverse) library(gt) library(gtExtras) library(dplyr) library(reactable) library(reactablefmtr) Category <- c("Games", "Minutes") Value <- c(30,33.2) cbind(Category, Value) %>% reactable( theme = espn()) Notes: Strengths Aggressive downhill driver with good touch around the basket. Tight handle that he combines with elit...
797 sym R (1913 sym/6 pcs) 2 tbl