Azaira

Azaira — CS2 Stats

76561198159154730[U:1:198889002]Steam profile ↗✓ No bans

556Tracked matches53%Win rate2021Tracked since
CSDB Rating5.4 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,810 +4,689 20 Sept – 19 Sept · 14 days played
10,99916,173peak 16,17320 Sept19 Sept
16,487Peak Premier in tracked matches
53Days played since 2023-09-20

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

Performance scores

Aim73
Positioning49
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLLWLWWWWLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +0.4pp headshot accuracy · −63ms reaction

Win rate +10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 37%
  • Avg reaction 611ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 31%
  • Avg reaction 617ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 30%
  • Avg reaction 649ms

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: Positional Player — Positioning stands above the rest of this profile (+0.8 against its own average).

Aim7.3
Utility3.2
Positioning4.9
Opening Duels4.1

Limited 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

s1mple

Plays most like s1mple 90% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 649ms 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

Aim7.3
Positioning4.9
Utility3.2
Mechanics5.6
Opening Duels3.1
Win Impact6.1

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time651ms−17ms
first ⅓ avg 668ms → last ⅓ avg 651ms
Headshot accuracy27.8%+3.5%
first ⅓ avg 24.3% → last ⅓ avg 27.8%

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

0.20Best match rating · 13–1 · overpass, 29 Jul →
60%Best headshot accuracy · 7–13 · nuke, 17 Feb →
445msFastest reaction time · 11–6 · mirage, 14 Jun →
13–0Biggest win · anubis, 28 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 71% over 7mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2715–1256%0.00
infernoC229–1341%-0.02
nukeB137–654%-0.02
overpassC114–736%-0.02
mirageD93–633%-0.03
anubisS75–271%0.05
cache—32–167%0.03
train—30–30%-0.01
vertigo—31–233%-0.05
ancient—20–20%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 5 essential Mirage 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.

29.7%Headshot accuracy
34.1%Accuracy (enemy spotted)
37.0%Spray accuracy
75.1%Counter-strafing
10.2°Preaim
649msReaction time
39.4%T opening success
45.2%CT opening success
0.64Enemies flashed / flash
5.8%Flash assists
6.36HE damage / grenade
2.27Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.2665 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 39.4324% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–130.0342%18 Jul →
dust24–13-0.0340%14 Jun →
mirage11–6-0.0032%14 Jun →
dust28–130.0234%14 Jun →
nuke13–10-0.0337%14 Jun →
inferno13–10-0.0036%13 Jun →
dust213–8-0.0027%13 Jun →
inferno13–4-0.050%12 Jun →
dust211–13-0.0132%12 Jun →
inferno13–3-0.0627%12 Jun →
inferno4–10-0.0520%25 May →
cache13–30.1132%25 May →
cache13–10-0.0436%21 May →
train11–130.0135%21 Feb →
inferno9–13-0.0231%19 Sept →
nuke10–13-0.0323%17 Sept →
dust213–110.0327%17 Sept →
dust213–60.0317%14 Sept →
inferno13–16-0.0633%10 Sept →
dust213–90.1148%9 Sept →
dust214–160.0129%8 Sept →
dust213–110.0333%29 Aug →
dust25–13-0.0429%29 Aug →
dust24–00.0413%21 Aug →
overpass9–13-0.0717%21 Aug →
nuke13–80.0048%21 Aug →
inferno11–13-0.0314%18 Aug →
inferno13–110.0631%12 Aug →
overpass13–8-0.0224%6 Aug →
overpass5–13-0.0617%4 Aug →
inferno9–130.0624%2 Aug →
nuke13–4-0.0112%30 Jul →
mirage5–13-0.0417%29 Jul →
overpass13–10.2032%29 Jul →
train11–130.0124%23 Jul →
dust212–20.1644%23 Jul →
nuke10–130.0228%23 Jul →
inferno13–90.0832%23 Jul →
dust27–13-0.1212%22 Jul →
dust215–150.0022%17 Jul →
dust213–40.0523%17 Jul →
mirage1–13-0.0313%17 Jul →
dust23–13-0.076%17 Jul →
mirage13–7-0.0425%16 Jul →
inferno9–13-0.0045%11 Jul →
mirage11–13-0.0141%9 Jul →
inferno13–9-0.0412%9 Jul →
dust213–70.0526%9 Jul →
overpass11–13-0.0524%1 Jul →
mirage3–13-0.0715%30 Jun →
dust213–80.0127%30 Jun →
inferno9–130.0322%16 May →
dust212–12-0.0519%15 May →
mirage9–130.0130%27 Apr →
dust211–13-0.0347%27 Apr →
nuke13–110.0722%27 Apr →
inferno9–13-0.0135%27 Apr →
dust213–40.0832%27 Mar →
overpass8–13-0.0714%8 Feb →
anubis13–7-0.0221%8 Feb →
train6–13-0.0626%8 Feb →
inferno9–13-0.0329%8 Feb →
dust213–50.0219%11 Nov →
ancient3–13-0.066%11 Nov →
nuke12–12-0.0727%17 Oct →
dust20–11-0.1011%9 Jun →
nuke4–13-0.0633%9 Jun →
mirage3–13-0.1143%9 Jun →
overpass13–90.0228%1 Jun →
inferno3–13-0.0728%1 Jun →
dust213–9-0.0414%27 May →
nuke13–6-0.0525%27 May →
inferno4–13-0.1021%20 May →
dust213–60.0120%5 Mar →
vertigo12–12-0.1036%5 Mar →
dust23–8-0.1714%26 Feb →
overpass13–11-0.0833%25 Feb →
anubis9–130.0119%17 Feb →
nuke7–13-0.0860%17 Feb →
inferno5–13-0.0635%10 Feb →
dust213–40.0626%28 Sept →
inferno13–60.0318%28 Sept →
overpass9–13-0.0119%28 Sept →
anubis13–00.1623%28 Sept →
anubis3–13-0.0628%27 Sept →
nuke13–40.099%26 Sept →
anubis13–40.069%26 Sept →
mirage13–60.0321%26 Sept →
vertigo11–13-0.0824%26 Sept →
anubis13–70.0518%25 Sept →
nuke4–13-0.1025%25 Sept →
anubis13–20.1428%25 Sept →
overpass6–13-0.0229%25 Sept →
overpass9–13-0.0514%25 Sept →
inferno13–10-0.0320%22 Sept →
vertigo13–80.0228%22 Sept →
inferno13–110.0012%21 Sept →
ancient2–13-0.0733%21 Sept →
inferno5–13-0.0227%21 Sept →
nuke13–10-0.0316%20 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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