♱Siqaa

♱Siqaa — CS2 Stats

FR76561198148415458[U:1:188149730]Steam profile ↗✓ No bans

224Tracked matches53%Win rate2020Tracked since
3,096Hours in CS44Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating22,905Top 25% of 211,827 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#44457 of 258817 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (3 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: 22,905 +4,011 9 Sept – 27 Oct · 16 days played
18,89423,055peak 23,0559 Sept27 Oct
23,305Peak Premier in tracked matches
37Days played since 2026-07-04

Premier CS Rating

  • 150 below peak (23,055)
  • +1,026 over 30 days · improving
  • Next: Red band at 25,000 — 2,095 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

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 Level 5 among CSDB-tracked players (n=14,283), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate57.6%43.8%44.8%above
Shot accuracy20.0%12.0%12.4%above
Kill/death ratio1.811.021.03above
Match win rate53.0%44.7%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GG♱SiqaaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER22,905 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77
Positioning50
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLWWLLWLLWL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +1.1pp headshot accuracy · −40ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 591ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 565ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 585ms

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 (+1.9 against its own average).

Aim7.7
Utility5.9
Positioning5.0
Opening Duels0.5
Clutch4.6

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

iM

Plays most like iM 87% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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

Reaction time. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.7
Positioning5.0
Utility5.9
Mechanics7.0
Opening Duels2.9
Win Impact6.1

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time599ms+2ms
first ⅓ avg 597ms → last ⅓ avg 599ms
Headshot accuracy17.2%−6.0%
first ⅓ avg 23.2% → last ⅓ avg 17.2%

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

0.16Best match rating · 9–2 · inferno, 15 Oct →
50%Best headshot accuracy · 13–5 · dust2, 22 Sept →
438msFastest reaction time · 8–13 · mirage, 21 Oct →
13–1Biggest win · mirage, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 64% over 11dust2Weakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB2010–1050%0.00
infernoA1810–856%0.01
dust2C188–1044%0.01
cacheA127–558%-0.00
ancientA117–464%-0.03
anubisA106–460%-0.01
nuke—32–167%-0.04
overpass—30–30%-0.01
poseidon—20–20%-0.04
vertigo—21–150%0.00
debris—10–10%-0.15

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,458Lifetime kills
1.81K/D · Top 5% of Level 5 players
1,884Matches
53.0%Match win rate · Top 10% of Level 5 players
57.6%Headshot % · Top 10% of Level 5 players
20.0%Shot accuracy · Top 5% of Level 5 players
5,328MVPs
1,148Hours (in match)
1,815Bombs planted
426Bombs defused

Most-used weapons

Lifetime map wins

2,268inferno
2,008dust2
283nuke
223cbble
215train
149vertigo
103aztec
103dust

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

Faceit stats

Combat

190Matches
55%Win rate
1.47Avg K/D
67.8ADR
38%Headshot %

Clutches & streaks

43%1v1 clutch win
5%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis1145%0.7111.4
Dust21070%1.0215.1
Cache757%0.8013.7
Ancient475%0.9611.8
Vertigo367%1.1712.7
Mirage367%1.2215.7
Inferno1100%1.1416.0

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.

19.9%Headshot accuracy
34.6%Accuracy (enemy spotted)
38.1%Spray accuracy
81.4%Counter-strafing
8.5°Preaim
593msReaction time
48.4%T opening success
34.5%CT opening success
0.68Enemies flashed / flash
8.7%Flash assists
7.78HE damage / grenade
13.56Flashes / 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 34.4756% — below the 40% mark we flag

Spend your practice time on Dust 2

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

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–13-0.0513%27 Oct →
mirage13–10-0.0312%27 Oct →
anubis13–100.0519%22 Oct →
poseidon6–9-0.048%22 Oct →
inferno4–130.0532%21 Oct →
cache13–60.0313%21 Oct →
mirage8–130.0113%21 Oct →
dust26–130.0117%21 Oct →
cache13–110.0730%20 Oct →
nuke11–130.0115%19 Oct →
mirage11–13-0.0118%19 Oct →
mirage10–130.0116%19 Oct →
overpass5–90.067%19 Oct →
overpass3–9-0.0412%18 Oct →
inferno6–9-0.1326%18 Oct →
inferno8–80.0319%18 Oct →
vertigo13–50.0327%17 Oct →
anubis5–13-0.0711%16 Oct →
debris8–8-0.1511%15 Oct →
vertigo5–9-0.0215%15 Oct →
inferno9–20.1617%15 Oct →
overpass5–9-0.0410%15 Oct →
poseidon2–9-0.0432%15 Oct →
dust213–2-0.0513%15 Oct →
ancient9–13-0.0614%15 Oct →
anubis16–120.0217%15 Oct →
inferno13–60.1231%15 Oct →
ancient13–40.035%13 Oct →
cache13–10-0.0737%13 Oct →
mirage13–3-0.0517%13 Oct →
ancient4–13-0.0811%10 Oct →
mirage11–130.0131%10 Oct →
ancient3–0-0.070%10 Oct →
mirage13–40.0033%10 Oct →
ancient16–14-0.0014%10 Oct →
cache9–130.0133%9 Oct →
nuke13–5-0.0722%9 Oct →
anubis13–110.005%7 Oct →
inferno5–13-0.0841%7 Oct →
mirage6–13-0.0922%7 Oct →
dust29–130.0822%5 Oct →
cache6–13-0.0638%4 Oct →
ancient4–13-0.0710%4 Oct →
inferno13–100.0223%4 Oct →
mirage13–10.046%3 Oct →
inferno13–6-0.078%3 Oct →
inferno13–90.0611%3 Oct →
mirage9–130.0331%3 Oct →
inferno4–13-0.0632%2 Oct →
nuke13–9-0.0720%2 Oct →
ancient6–00.0918%2 Oct →
inferno13–10-0.0521%2 Oct →
ancient5–13-0.0423%1 Oct →
inferno13–10.1119%1 Oct →
anubis16–13-0.0320%30 Sept →
dust213–10-0.0223%30 Sept →
cache16–14-0.0014%29 Sept →
dust26–13-0.0815%29 Sept →
inferno13–3-0.074%29 Sept →
ancient13–7-0.059%29 Sept →
dust24–70.0821%29 Sept →
dust25–130.0213%28 Sept →
dust213–60.0628%28 Sept →
dust213–40.1422%26 Sept →
dust213–110.0428%26 Sept →
mirage12–12-0.0319%26 Sept →
dust210–13-0.0115%24 Sept →
anubis13–60.1132%23 Sept →
cache13–9-0.0321%23 Sept →
mirage13–5-0.0117%23 Sept →
dust213–40.025%23 Sept →
mirage13–11-0.0122%23 Sept →
dust28–13-0.0513%23 Sept →
anubis13–100.0113%23 Sept →
dust213–50.0250%22 Sept →
cache12–12-0.0433%22 Sept →
mirage13–70.0226%21 Sept →
dust27–130.0029%21 Sept →
mirage13–20.1515%21 Sept →
mirage8–130.0535%20 Sept →
dust213–40.0226%20 Sept →
mirage13–20.1124%11 Sept →
cache6–50.0632%11 Sept →
inferno8–13-0.0142%10 Sept →
cache16–13-0.0412%9 Sept →
inferno0–13-0.0536%9 Sept →
inferno13–90.0619%8 Sept →
inferno6–130.0114%8 Sept →
cache9–130.0731%7 Sept →
inferno13–20.0223%7 Sept →
dust212–15-0.0318%7 Sept →
dust27–130.0027%4 Sept →
mirage13–9-0.0619%2 Sept →
anubis11–13-0.0729%2 Sept →
ancient13–7-0.0413%2 Sept →
mirage11–13-0.0722%2 Sept →
cache16–13-0.0421%7 Aug →
ancient13–8-0.0318%7 Aug →
mirage5–13-0.0119%5 Jul →
anubis7–13-0.058%4 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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