Shoddy Battle

Ladder Play

View Leader Board

On the official Shoddy Battle server (and later possibly some other servers), there is a mode of play known as ladder play. Ladder play attempts to rank players in a fair manner that is immune to fraud, and it also provides a speedy and efficient matchmaking service. If you enjoy standard battles, ladder play may be for you.

  1. How to Play
  2. Nature of Ladder Play
  3. Ratings
  4. FAQ

§ How to Play

Playing a ladder match is very easy. Click the Find tab and then the Ladder tab. Load your team of choice and then press Find Match. Within thirty seconds, a match should open automatically.

§ Nature of Ladder Play

The first precaution taken in ladder play is that all matches are against random opponents. It is impossible to arrange a ladder match against an opponent of your choice. Moreover, the system attempts to match you to the player with the conservative rating estimate nearest yours. This results in matches that are enjoyable for both players, and prevents battling against a desired weak opponent.

Secondly, all ladder matches use the same rule set. The following clauses, and no others, are always enabled:

  • Sleep Clause
  • Freeze Clause
  • Species Clause
  • OHKO Clause
  • Evasion Clause
  • Strict Damage Clause

Additionally, the following pokemon are banned from ladder play. Attempts to find a match using a team that contains one of these pokemon will fail:

  • Arceus
  • Darkrai
  • Deoxys
  • Deoxys-f
  • Deoxys-l
  • Dialga
  • Giratina
  • Groudon
  • Ho-oh
  • Kyogre
  • Latias
  • Latios
  • Lugia
  • Manaphy
  • Mew
  • Mewtwo
  • Palkia
  • Rayquaza

Deoxys-e was unbanned on January 15th, 2008. Wobbuffet was unbanned on February 1st, 2008.

§ Ratings

All ratings and the leader board are updated in real-time as matches complete. You can view a given player's rating by right-clicking his or her name in the client and choosing "View Record". A rating consists of several statistics that may initially seem confusing.

Conservative Rating Estimate: This is an estimate of your true rating that assumes you are as bad as you could possibly be, given your play history. As you play more matches, the uncertainty in your rating will decrease and the conservative rating estimate will approach your true rating. For the mathematically inclined, the formula for this statistic is given by:

conservative rating estimate = μ - 4ϕ

where μ is the mean rating and ϕ is the standard deviation.

Rating: This is the range that comprises one standard deviation on either side of your mean rating. In other words, there is a 72% chance that your true rating falls within this range. Your rating is increased by winning matches, and the width of the range is decreased simply by playing more matches, regardless of whether you win.

Volatility: The volatility factor is a measure of how consistently you play. If your rating does not change much each day then your volatility will be low, whereas if you improve or worsen rapidly your volatility will be high.

§ FAQ

What happens if I don't play for a few days?

Each day you don't play, the uncertainty (standard deviation) in your rating changes according to

ϕ′ = √(ϕ2 + σ2)

where ϕ is the deviation and σ is the volatility.

Basically, if you don't play, the width of your rating range will increase, which has the effect of decreasing your conservative rating estimate.

Where can I learn more about the Glicko2 rating system?

Consider reading this paper by Professor Glickman, designer of the system.

How can I tell how good I am relative to another player?

This table gives you the chance of beating somebody with a conservative rating estimate Δestimate points lower than yours:

Δestimate %
10 51.44
20 52.88
30 54.31
40 55.73
50 57.15
60 58.55
70 59.94
80 61.31
90 62.67
100 64.01
110 65.32
120 66.61
130 67.88
140 69.12
150 70.34
160 71.53
170 72.68
180 73.81
190 74.91
200 75.97
210 77.01
220 78.01
230 78.98
240 79.92
250 80.83
260 81.71
270 82.55
280 83.37
290 84.15
300 84.9
310 85.63
320 86.32
330 86.98
340 87.62
350 88.23
360 88.82
370 89.38
380 89.91
390 90.42
400 90.91
410 91.37
420 91.82
430 92.24
440 92.64
450 93.02
460 93.39
470 93.74
480 94.06
490 94.38
500 94.68
510 94.96
> 520 > 95