Alqa Idah

Alqa Idah — CS2 Stats

CA76561198209575140[U:1:249309412]Steam profile ↗✓ No bans

1,558Tracked matches70%Win rate2021Tracked since
3,103Hours in CS4Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating11,448Blue band · top ~47.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,448 -5,642 6 Sept – 4 Nov · 23 days played
10,50819,118peak 19,1186 Sept4 Nov
19,118Peak Premier in tracked matches
31Days played since 2026-09-06

Premier CS Rating

  • 7,670 below peak (19,118)
  • -7,020 over 30 days · declining
  • Next: Purple band at 15,000 — 3,552 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate39.2%42.0%44.4%5.2% short
Shot accuracy9.7%9.6%11.9%2.2% short
Kill/death ratio1.050.981.03meets
Match win rate46.5%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAlqa IdahPREMIER11,448 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning54
Utility67

0–100 skill scores via Leetify.

Recent form

HOT54–39–7Last 10054%Win rateWLWTWWWWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +1.8pp headshot accuracy · +8ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 463ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 489ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 485ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim7.5
Utility6.7
Positioning5.4
Opening Duels2.1
Clutch4.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

CT openings. Opening success drops from 56% on T to 35% on CT — first contacts on the defending side are being lost.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.5
Positioning5.4
Utility6.7
Mechanics6.3
Opening Duels4.0
Win Impact10.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time479ms+2ms
first ⅓ avg 477ms → last ⅓ avg 479ms
Headshot accuracy19.2%+0.8%
first ⅓ avg 18.4% → last ⅓ avg 19.2%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.15Best match rating · 9–2 · mirage, 14 Sept →
45%Best headshot accuracy · 9–2 · mirage, 14 Sept →
313msFastest reaction time · 3–7 · anubis, 11 Oct →
13–1Biggest win · dust2, 28 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
4–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 75% over 8anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S3425–974%0.03
mirageB3015–1550%0.01
infernoS86–275%0.02
cacheC83–538%-0.01
nukeD62–433%0.02
anubisD61–517%-0.02
vertigo—42–250%0.06
train—30–30%-0.07
overpass—10–10%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,945Lifetime kills
1.05K/D · Top 50% of Blue band
3,752Matches
46.5%Match win rate · Top 50% of Blue band
39.2%Headshot %
9.7%Shot accuracy · Top 50% of Blue band
7,536MVPs
1,435Hours (in match)
2,595Bombs planted
1,073Bombs defused

Most-used weapons

AK-4710,805
AWP8,589
SSG 085,120
P902,790
MP71,684
MP91,284

Lifetime map wins

9,210dust2
3,167inferno
2,474nuke
1,038vertigo
726train
659office
319cbble
194lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

36Matches
61%Win rate
1.00Avg K/D
84.1ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21385%1.2016.9
Mirage1080%1.0813.2
Nuke520%0.8814.2
Inferno367%1.0814.3
Ancient20%0.489.0
Cache10%1.0016.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.3%Headshot accuracy
30.9%Accuracy (enemy spotted)
33.9%Spray accuracy
78.5%Counter-strafing
8.9°Preaim
479msReaction time
56.5%T opening success
35.2%CT opening success
0.53Enemies flashed / flash
6.8%Flash assists
12.02HE damage / grenade
18.29Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.2257% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0229%5 Nov →
mirage14–160.1324%4 Nov →
mirage13–6-0.0422%4 Nov →
nuke15–150.0317%30 Oct →
mirage13–8-0.0224%28 Oct →
dust213–20.0616%28 Oct →
mirage13–8-0.0714%21 Oct →
dust213–80.0416%21 Oct →
inferno13–7-0.0128%21 Oct →
nuke13–70.0118%21 Oct →
dust213–30.0625%20 Oct →
nuke13–60.0919%20 Oct →
cache13–100.0522%20 Oct →
dust213–70.0127%20 Oct →
anubis7–13-0.039%20 Oct →
anubis5–13-0.1015%20 Oct →
mirage10–130.0610%20 Oct →
mirage13–50.0316%20 Oct →
nuke7–130.0229%20 Oct →
mirage13–40.0919%20 Oct →
nuke11–13-0.0314%20 Oct →
mirage13–70.0124%20 Oct →
inferno16–140.0419%20 Oct →
dust213–20.0119%20 Oct →
dust213–80.0012%20 Oct →
dust210–130.0715%19 Oct →
overpass12–120.049%19 Oct →
inferno13–80.0023%19 Oct →
mirage12–120.0033%12 Oct →
anubis11–13-0.0114%12 Oct →
mirage12–16-0.0418%12 Oct →
cache14–16-0.0718%12 Oct →
anubis8–13-0.0117%12 Oct →
dust213–7-0.0421%12 Oct →
cache7–13-0.0226%11 Oct →
anubis3–7-0.0038%11 Oct →
cache13–60.0720%10 Oct →
dust213–60.0425%10 Oct →
train7–13-0.0920%7 Oct →
train1–13-0.0413%7 Oct →
dust22–13-0.0639%7 Oct →
cache12–12-0.0327%7 Oct →
dust213–60.0113%7 Oct →
train1–6-0.080%7 Oct →
cache0–3-0.010%6 Oct →
anubis13–70.0110%6 Oct →
mirage6–13-0.0219%1 Oct →
mirage2–6-0.0525%30 Sept →
dust213–3-0.0031%30 Sept →
inferno13–70.0638%29 Sept →
vertigo13–70.0426%29 Sept →
mirage2–13-0.0437%29 Sept →
inferno12–16-0.0522%28 Sept →
dust213–10.1038%28 Sept →
mirage13–10.075%28 Sept →
mirage3–13-0.0919%28 Sept →
vertigo12–120.0127%28 Sept →
vertigo8–130.1026%28 Sept →
mirage13–60.015%27 Sept →
dust212–120.0522%27 Sept →
dust213–110.0620%27 Sept →
mirage13–80.0726%27 Sept →
dust27–13-0.0020%27 Sept →
dust213–30.1419%25 Sept →
dust213–100.1232%24 Sept →
dust213–5-0.0111%23 Sept →
vertigo13–10.0822%23 Sept →
dust213–40.0536%23 Sept →
mirage7–13-0.0226%23 Sept →
mirage9–13-0.0133%22 Sept →
dust213–20.039%20 Sept →
mirage9–20.1545%14 Sept →
dust28–130.0117%14 Sept →
dust211–130.0314%14 Sept →
inferno5–13-0.0223%14 Sept →
dust213–20.0528%14 Sept →
cache13–2-0.0115%13 Sept →
inferno13–60.0818%13 Sept →
inferno13–80.0227%12 Sept →
dust211–130.0319%12 Sept →
dust213–50.0121%12 Sept →
dust213–70.048%12 Sept →
dust215–15-0.0213%12 Sept →
mirage16–14-0.0213%11 Sept →
mirage0–7-0.0320%11 Sept →
dust22–13-0.056%11 Sept →
mirage6–110.0210%10 Sept →
dust213–60.1029%10 Sept →
mirage13–9-0.018%9 Sept →
dust213–11-0.029%9 Sept →
mirage11–130.059%9 Sept →
cache3–13-0.0626%9 Sept →
mirage13–60.0517%9 Sept →
mirage13–16-0.0215%8 Sept →
dust213–90.0118%7 Sept →
dust213–100.0110%7 Sept →
mirage12–10.0420%7 Sept →
mirage11–13-0.0422%6 Sept →
nuke6–13-0.0212%6 Sept →
mirage13–2-0.0010%6 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.