PHL UNO II
Advanced · All seasons
Every rate on this page shows its denominator in the column beside it. A percentage drawn from fewer than 10 games (or 5 series) is still shown, marked like this. It is a real figure; it just should not be read as confidently as one built on eighty.
Series shape
| Format | Series | W–L | Avg games | Swept opp. | Were swept | Went the distance |
|---|---|---|---|---|---|---|
| Best of 3 | 41 | 16–25 | 2.49 | 8 | 13 | 20 |
| Best of 5 | 70 | 29–41 | 3.91 | 4 | 22 | 20 |
One row per format, never pooled. A career average across formats measures which seasons a club played, not how it plays: Seasons 0 and 2 ran best-of-3 regular seasons and the rest best-of-5. Sweeps and going the distance are counted against each format’s own target, so they do compare.
Home and away
| Side | Games | W–L | Win % | Stock diff | Series | Series W–L |
|---|---|---|---|---|---|---|
| Home | 197 | 91–106 | 46.2% | -32 | 57 | 28–29 |
| Away | 179 | 66–113 | 36.9% | -85 | 54 | 17–37 |
Read a gap here cautiously. Across all 1,146 games in league history the home side has won 51.9%, which is not distinguishable from a coin flip, and Season 3 leans the other way. One club’s split is a few dozen games a side.
With the series on the line
| Situation | Games | W–L | Win % | Stock diff |
|---|---|---|---|---|
| Facing eliminationA loss ends the series | 118 | 52–66 | 44.1% | -37 |
| On series pointA win ends the series | 89 | 45–44 | 50.6% | -7 |
| Winner take allThe last game of a full-length series | 40 | 21–19 | 52.5% | -6 |
| ClutchGame 3 or later | 154 | 71–83 | 46.1% | -30 |
| Leading the seriesAhead going into the game | 73 | 35–38 | 47.9% | -5 |
| Series tiedLevel going into the game | 179 | 76–103 | 42.5% | -56 |
| Trailing the seriesBehind going into the game | 124 | 46–78 | 37.1% | -56 |
The state of the series going intoeach game. The last three rows partition every game; the first four overlap each other and them: a winner-take-all game is also facing elimination, on series point and clutch. Clutch is game 3 or later, the league’s own definition. Whether a game is on the brink is judged by the wins that actually took the series, not by the stored best-of, which is wrong for seven Season 1 playoff series.
After game 1
| Series state | Series | W–L | Conversion |
|---|---|---|---|
| After winning game 1Series taken from an opening win | 42 | 30–12 | 71.4% |
| After losing game 1Series taken from an opening loss | 69 | 15–54 | 21.7% |
| After leading by twoSeries where this club went two games clear | 29 | 28–1 | 96.6% |
| After trailing by twoSeries where this club fell two games behind | 50 | 2–48 | 4.0% |
Series, not games. Comebacks are rare everywhere (league-wide only about one series in twenty is won from two games down), so a club’s own count is usually a handful, and most conversion rates here will carry the small-sample mark.
By game in the series
Where PHL UNO II wins and loses within a series. Bars are scaled to the busiest position, so length reads as how often and the split as how it went.
Character deployment
| Character | Games | W | L | Win % | Opens | Closes | Stock diff |
|---|---|---|---|---|---|---|---|
| 83 | 30 | 53 | 36.1% | 2429% | 2328% | -39 | |
| 78 | 43 | 35 | 55.1% | 1114% | 2228% | +6 | |
| 68 | 31 | 37 | 45.6% | 3551% | 913% | -5 | |
| 32 | 11 | 21 | 34.4% | 928% | 1031% | -22 | |
| 30 | 14 | 16 | 46.7% | 620% | 827% | -4 | |
| 22 | 10 | 12 | 45.5% | 29% | 627% | -1 | |
| 16 | 5 | 11 | 31.3% | 319% | 531% | -11 | |
| 14 | 4 | 10 | 28.6% | 536% | 214% | -14 | |
| 9 | 3 | 6 | 33.3% (small sample) | 222% | 333% | -3 | |
| 9 | 3 | 6 | 33.3% (small sample) | 556% | 111% | -5 | |
| 7 | 3 | 4 | 42.9% (small sample) | 571% | 00% | -4 | |
| 5 | 0 | 5 | 0.0% (small sample) | 240% | 120% | -8 | |
| 3 | 0 | 3 | 0.0% (small sample) | 267% | 00% | -7 |
Opens is game 1; closes is the game that ended a series of three or more. These are real roles rather than trivia, because of a league rule visible nowhere in the data: a character that wins a game does not play again in that series: league-wide a winner is followed by a different character 99.9% of the time, a loser only 68%. A club cannot ride its best pick, so something else has to close.
Stage by character
| Stage | Character | Games | W | L | Win % | Stock diff |
|---|---|---|---|---|---|---|
| Small Battlefield | 23 | 6 | 17 | 26.1% | -14 | |
| Small Battlefield | 18 | 4 | 14 | 22.2% | -15 | |
| Pokémon Stadium 2 | 24 | 13 | 11 | 54.2% | +5 | |
| Dreamland | 18 | 7 | 11 | 38.9% | -9 | |
| Pokémon Stadium 2 | 13 | 5 | 8 | 38.5% | -8 | |
| Dreamland | 17 | 10 | 7 | 58.8% | -1 | |
| Kalos Pokémon League | 12 | 5 | 7 | 41.7% | -5 | |
| Pokémon Stadium 2 | 11 | 4 | 7 | 36.4% | -7 | |
| Town and City | 15 | 10 | 5 | 66.7% | +7 | |
| Town and City | 10 | 5 | 5 | 50.0% | +3 | |
| Pokémon Stadium 2 | 9 | 4 | 5 | 44.4% (small sample) | -2 | |
| Battlefield | 7 | 2 | 5 | 28.6% (small sample) | -4 | |
| Hollow Bastion | 7 | 2 | 5 | 28.6% (small sample) | -4 | |
| Dreamland | 5 | 1 | 4 | 20.0% (small sample) | -4 | |
| Kalos Pokémon League | 5 | 1 | 4 | 20.0% (small sample) | -5 | |
| Town and City | 5 | 1 | 4 | 20.0% (small sample) | -6 | |
| Battlefield | 4 | 0 | 4 | 0.0% (small sample) | -7 | |
| Kalos Pokémon League | 7 | 4 | 3 | 57.1% (small sample) | +2 | |
| Small Battlefield | 7 | 4 | 3 | 57.1% (small sample) | +2 | |
| Kalos Pokémon League | 5 | 2 | 3 | 40.0% (small sample) | -2 | |
| Pokémon Stadium 2 | 5 | 2 | 3 | 40.0% (small sample) | -2 | |
| Smashville | 5 | 2 | 3 | 40.0% (small sample) | -1 | |
| Battlefield | 3 | 0 | 3 | 0.0% (small sample) | -6 | |
| Kalos Pokémon League | 3 | 0 | 3 | 0.0% (small sample) | -4 |
The interaction the overview’s stage table cannot show: which stage a particular pick actually wins on. Cells go thin fast (league-wide only about a tenth of character-by-stage combinations reach 10 games), so most rates here carry the small-sample mark. Showing the top 24 of 84 combinations for the current sort, so re-sorting changes which rows appear. The club’s plain stage splits are on the overview.