Aamiidzaa

Aamiidzaa — CS2 Stats

76561199058157331[U:1:1097891603]Steam profile ↗✓ No bans

1,007Tracked matches43%Win rate2022Tracked since
CSDB Rating3.0 LearningSupport
Premier CS Rating4,805Grey band · top ~79.6% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,007 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 4,805 +260 21 Mar – 15 Sept · 36 days played
3,2054,999peak 4,99921 Mar15 Sept
4,999Peak Premier in tracked matches
36Days played since 2026-03-21

Premier CS Rating

  • 194 below peak (4,999)
  • +1,033 over 90 days
  • Next: Light Blue band at 5,000 — 195 to go

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

Share this profile

CSDB.GGAamiidzaaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER4,805 · Grey bandcsdb.gg/stats

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Performance scores

Aim41
Positioning42
Utility43

0–100 skill scores via Leetify.

Recent form

COLD37–60–3Last 10037%Win rateLWLLLLWLWL

Last 10 vs previous 10: 0pp win rate · +0.05 avg rating · +1.0pp headshot accuracy · −47ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 660ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 617ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 641ms

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 (+0.9 against its own average).

Aim4.1
Utility4.3
Positioning4.2
Opening Duels1.7

Effective flashesLimited utility dependence

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 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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. 650ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning4.2
Utility4.3
Mechanics1.3
Opening Duels1.7
Win Impact2.8

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.04
first ⅓ avg -0.00 → last ⅓ avg -0.04
Reaction time647ms−49ms
first ⅓ avg 696ms → last ⅓ avg 647ms
Headshot accuracy23.1%−1.2%
first ⅓ avg 24.3% → last ⅓ avg 23.1%

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

0.24Best match rating · 13–10 · dust2, 29 May →
50%Best headshot accuracy · 5–13 · nuke, 16 Jun →
430msFastest reaction time · 4–9 · inferno, 19 Jul →
13–0Biggest win · mirage, 5 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 60% over 5anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D3512–2334%-0.02
mirageD2910–1934%-0.02
infernoC188–1044%-0.03
anubisD61–517%-0.05
cacheA53–260%-0.01
nuke—31–233%-0.04
ancient—32–167%-0.01
overpass—10–10%-0.06

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.

Skill profile

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

22.4%Headshot accuracy
29.0%Accuracy (enemy spotted)
28.6%Spray accuracy
55.9%Counter-strafing
8.3°Preaim
650msReaction time
34.8%T opening success
38.8%CT opening success
0.73Enemies flashed / flash
8.1%Flash assists
6.14HE damage / grenade
4.92Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 34.8055% — 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
dust213–16-0.0321%31 Jul →
inferno13–50.0332%31 Jul →
inferno5–130.0024%29 Jul →
anubis4–13-0.1025%25 Jul →
inferno12–16-0.0724%24 Jul →
mirage3–13-0.0914%24 Jul →
mirage13–100.0111%24 Jul →
dust214–16-0.0523%24 Jul →
cache13–50.0731%23 Jul →
dust214–160.0626%21 Jul →
inferno9–130.0326%21 Jul →
dust28–13-0.1015%21 Jul →
inferno0–9-0.2418%19 Jul →
inferno4–9-0.0438%19 Jul →
inferno6–9-0.1130%19 Jul →
dust213–11-0.0811%19 Jul →
inferno7–13-0.0714%17 Jul →
dust213–10-0.0524%17 Jul →
mirage10–13-0.0028%17 Jul →
mirage13–8-0.0318%17 Jul →
mirage13–11-0.0124%16 Jul →
anubis13–6-0.0225%16 Jul →
mirage8–13-0.0319%16 Jul →
dust213–16-0.0911%16 Jul →
mirage16–14-0.109%16 Jul →
dust213–70.0426%16 Jul →
inferno13–8-0.0345%16 Jul →
inferno13–110.0136%16 Jul →
dust211–13-0.0828%16 Jul →
anubis1–13-0.055%16 Jul →
inferno13–100.0027%15 Jul →
dust24–13-0.0231%15 Jul →
anubis9–13-0.0322%15 Jul →
nuke9–13-0.0212%15 Jul →
ancient13–5-0.0521%15 Jul →
cache13–9-0.0510%15 Jul →
dust29–13-0.0415%12 Jul →
mirage4–13-0.0125%12 Jul →
cache9–13-0.0218%12 Jul →
inferno9–13-0.0539%12 Jul →
dust213–80.0210%12 Jul →
dust25–13-0.0712%12 Jul →
mirage8–13-0.0513%5 Jul →
mirage13–00.000%5 Jul →
dust216–13-0.0120%5 Jul →
cache7–13-0.0314%4 Jul →
mirage13–50.0414%4 Jul →
dust29–13-0.0630%1 Jul →
dust24–13-0.0530%1 Jul →
mirage15–150.0116%30 Jun →
dust213–10-0.0122%30 Jun →
mirage13–80.0229%30 Jun →
anubis4–13-0.0011%28 Jun →
dust22–13-0.038%28 Jun →
inferno13–70.0215%27 Jun →
dust28–13-0.0731%27 Jun →
cache13–7-0.0336%27 Jun →
dust213–8-0.0633%27 Jun →
dust28–130.0343%22 Jun →
inferno12–16-0.0312%21 Jun →
dust24–13-0.0920%21 Jun →
dust25–13-0.0117%20 Jun →
dust23–13-0.0612%20 Jun →
overpass6–13-0.0624%17 Jun →
mirage11–13-0.0613%17 Jun →
dust26–13-0.0715%16 Jun →
mirage13–60.0128%16 Jun →
nuke5–13-0.0750%16 Jun →
mirage8–13-0.0817%14 Jun →
dust29–130.0115%14 Jun →
ancient8–13-0.0114%6 Jun →
inferno13–90.0210%6 Jun →
mirage12–160.0013%6 Jun →
dust215–15-0.0220%5 Jun →
inferno13–9-0.0116%4 Jun →
mirage13–10-0.0311%4 Jun →
mirage9–13-0.0521%3 Jun →
mirage9–13-0.0434%3 Jun →
mirage4–13-0.0529%2 Jun →
inferno3–13-0.0443%2 Jun →
mirage13–11-0.0418%30 May →
mirage10–13-0.0131%29 May →
dust213–70.0128%29 May →
dust213–100.2446%29 May →
dust28–13-0.0631%29 May →
dust213–50.1844%29 May →
anubis8–13-0.1219%29 May →
inferno13–11-0.0131%29 May →
mirage6–11-0.0620%29 May →
nuke13–9-0.0417%29 May →
dust27–13-0.0116%29 May →
ancient13–50.0431%26 May →
mirage11–13-0.0224%23 May →
dust213–40.0316%23 May →
mirage14–16-0.0142%17 Apr →
dust216–130.0319%10 Apr →
dust215–150.0122%10 Apr →
mirage6–130.0525%30 Mar →
mirage10–13-0.0318%21 Mar →
mirage10–130.0413%21 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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