1999–2000 Bahraini Premier League

Statistics of Bahraini Premier League for the 1999–2000 season.

Overview

It was contested by 12 teams, and Bahrain Riffa Club won the championship.

Regular season

Group 1
Pos Team Pld W D L GF GA GD Pts
1 Muharraq Club 10 6 4 0 21 10 +11 22
2 Bahrain Riffa Club 10 6 3 1 27 13 +14 21
3 Al Hala 10 4 2 4 15 16 −1 14
4 Essa Town 10 3 2 5 15 19 −4 11
5 Malkiya Club 10 3 1 6 17 23 −6 10
6 Budaia 10 1 2 7 8 22 −14 5
Source: rsssf.com

Group 2
Pos Team Pld W D L GF GA GD Pts
1 Al-Ahli 10 6 2 2 16 9 +7 20
2 Busaiteen Club 10 4 5 1 17 9 +8 17
3 Bahrain 10 3 5 2 11 11 0 14
4 East Riffa Club 10 4 1 5 15 14 +1 13
5 Qalali 10 2 4 4 17 24 −7 10
6 Al Hilal 10 1 3 6 11 20 −9 6
Source: rsssf.com

Championship playoff

Group A
Pos Team Pld W D L GF GA GD Pts
1 Muharraq Club 6 4 2 0 15 8 +7 14
2 East Riffa Club 6 3 1 2 11 8 +3 10
3 Al Hala 6 2 2 2 13 9 +4 8
4 Busaiteen Club 6 0 1 5 6 20 −14 1
Source: rsssf.com

Group B
Pos Team Pld W D L GF GA GD Pts
1 Al-Ahli 6 4 1 1 8 4 +4 13
2 Bahrain Riffa Club 6 3 0 3 11 9 +2 9
3 Bahrain 6 2 1 3 10 10 0 7
4 Essa Town 6 1 2 3 7 13 −6 5
Source: rsssf.com

Championship playoff

Semifinals
  • Muharraq Club 0-3 : 1-0 Bahrain Riffa Club
  • Al-Ahli 2-3 : 0-1 East Riffa Club

Third Place Match
  • Muharraq Club 2-3 Al-Ahli

Final

Relegation Playoff
Pos Team Pld W D L GF GA GD Pts
9 Al Hilal 6 3 1 2 13 6 +7 10
10 Qalali 6 3 1 2 7 7 0 10
11 Malkiya Club 6 2 1 3 10 13 −3 7
12 Budaia 6 2 1 3 6 10 −4 7
Source: rsssf.com
gollark: The embed says "no" on heav's website, fix?
gollark: This is not ideal. How can we use more without boring things like cryptominers?
gollark: Okay, this might fix it, pushed.
gollark: If the issue is what I think it could be, then it's accidentally dropping? data on the threshold of the rolling counter region incorrectly.
gollark: ```nimproc pollTargets(ctx: Ctx) {.async.} = for row in ctx.db.all("SELECT * FROM sites"): var (id, url, rollingTotalPings, rollingSuccessfulPings, rollingLatency, rollingDataSince) = row.unpack((int64, string, int64, int64, int64, Option[Time])) let res = await ctx.pollTarget(url) let threshold = getTime() # drop old data from rolling counters if rollingDataSince.isSome: for row in ctx.db.iterate("SELECT status, latency FROM reqs WHERE timestamp >= ? AND timestamp <= ? AND site = ?", rollingDataSince.get, threshold, id): let (statusRaw, latency) = row.unpack((int, int)) rollingTotalPings -= 1 rollingLatency -= latency if statusRaw <= 0: rollingSuccessfulPings -= 1 # add new data rollingTotalPings += 1 rollingLatency += res.latency if int(res.rtype) <= 0: rollingSuccessfulPings += 1 ctx.db.transaction: ctx.db.exec("UPDATE sites SET rc_total = ?, rc_success = ?, rc_latency = ?, rc_data_since = ? WHERE sid = ?", rollingTotalPings, rollingSuccessfulPings, rollingLatency, threshold, id) ctx.db.exec("INSERT INTO reqs (site, timestamp, status, latency) VALUES (?, ?, ?, ?)", id, getTime(), int(res.rtype), res.latency)```This is the core algorithm.

References


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