womens-world-cup-predictions/wwc-forecast-20150622-215702

7 rows where quarter = "1.0" sorted by group_first

View and edit SQL

Suggested facets: group, group_first, group_second

quarter

group_fourth

  • 0 7
Link rowid team group wspi wspi_offense wspi_defense group_first ▼ group_second group_third_advance group_third_no_advance group_fourth sixteen quarter semi final win
6 Australia D 89.48328917 2.40614215 0.89778695 0 1 0 0 0 1 1.0 0.4257 0.1954 0.0454
7 England F 89.45125672 2.27099929 0.75739245 0 1 0 0 0 1 1.0 0.428 0.1955 0.04395
9 China A 85.39438945 1.48389299 0.74778985 0 1 0 0 0 1 1.0 0.12205 0.0167 0.006
1 Germany B 95.98752634 3.87844074 0.39069387 1 0 0 0 0 1 1.0 0.71165 0.43255 0.33945
2 USA D 95.17233893 3.54483776 0.39484166 1 0 0 0 0 1 1.0 0.87795 0.4346 0.3193
4 Canada A 89.39646289 2.16119816 0.65009751 1 0 0 0 0 1 1.0 0.572 0.29865 0.0829
5 France F 92.46148661 2.87144076 0.61451971 1 0 0 0 0 1 1.0 0.28835 0.11615 0.06785

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

CREATE TABLE "womens-world-cup-predictions/wwc-forecast-20150622-215702" (
"team" TEXT,
  "group" TEXT,
  "wspi" REAL,
  "wspi_offense" REAL,
  "wspi_defense" REAL,
  "group_first" INTEGER,
  "group_second" INTEGER,
  "group_third_advance" INTEGER,
  "group_third_no_advance" INTEGER,
  "group_fourth" INTEGER,
  "sixteen" INTEGER,
  "quarter" REAL,
  "semi" REAL,
  "final" REAL,
  "win" REAL
);
Powered by Datasette · Query took 27.713ms