AZ19999

AZ19999 — CS2 Stats

US76561198074266090[U:1:114000362]Steam profile ↗1 game ban

1,737Tracked matches52%Win rate2020Tracked since
5,735Hours in CS10Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,312 → 1,312
+14Tracked matches · now 1,737
+3.4ppWin rate · 48.3% → 51.7%

Rating over time

Premier CS Rating: 21,309 +791 9 Jan – 18 Jan · 3 days played
20,51821,309peak 21,3099 Jan18 Jan
Faceit ELO: 1,312 +0 30 Aug – 3 Sept · 3 observations
1,3121,312peak 1,31230 Aug3 Sept
21,309Peak Premier in tracked matches
1,312Highest Faceit ELO seen on CSDB
64Days played since 2026-01-09

Faceit ELO

  • At peak — 1,312
  • Next: Level 7 at 1,351 — 39 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-30
  • Level 5 first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGAZ19999PEAK ELO1,312csdb.gg/stats

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Performance scores

Aim59
Positioning42
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWLLWLLWLWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +3.7pp headshot accuracy · +72ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 566ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 597ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 561ms

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 (+2.2 against its own average).

Aim5.9
Utility5.6
Positioning4.2
Opening Duels0.0
Clutch3.6

Effective flashes

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 81% 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

Reaction time. 585ms 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

Aim5.9
Positioning4.2
Utility5.6
Mechanics5.7
Opening Duels0.1
Win Impact5.6

Composite 4.4/10 (Developing), 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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time593ms−45ms
first ⅓ avg 638ms → last ⅓ avg 593ms
Headshot accuracy17.5%+3.1%
first ⅓ avg 14.4% → last ⅓ avg 17.5%

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

0.14Best match rating · 13–2 · inferno, 21 Jan →
47%Best headshot accuracy · 5–1 · rush_001, 30 Sept →
406msFastest reaction time · 10–13 · mirage, 24 Sept →
13–2Biggest win · nuke, 9 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 79% over 14infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
ancientC229–1341%-0.01
nukeB189–950%-0.02
infernoC166–1038%0.00
overpassS1411–379%0.00
mirageA95–456%-0.01
cacheA95–456%-0.00
anubisC83–538%-0.01
dust2—20–20%-0.04
rush_001—11–0100%0.12
shelter—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

226,100Lifetime kills
1.18K/D · Top 25% of tracked players
9,316Matches
34.2%Match win rate
43.2%Headshot %
15.9%Shot accuracy · Top 25% of tracked players
14,870MVPs
3,876Hours (in match)
6,333Bombs planted
1,883Bombs defused

Most-used weapons

AK-4776,879
AWP12,391
Tec-96,210
P2505,205
MP94,257

Lifetime map wins

10,503dust2
5,603inferno
2,946nuke
2,080vertigo
1,850train
929cbble
490office
294lake

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

Faceit stats

Combat

403Matches
47%Win rate
1.03Avg K/D
73.3ADR
40%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient12048%1.0914.5
Anubis8645%1.0314.9
Inferno5244%0.9914.0
Nuke5050%0.9614.9
Overpass2462%1.0314.6
Mirage1947%1.1316.1
Dust2838%1.0817.8
Train667%1.1617.3

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.

16.6%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.4%Spray accuracy
75.8%Counter-strafing
11.5°Preaim
585msReaction time
23.7%T opening success
30.5%CT opening success
0.73Enemies flashed / flash
2.8%Flash assists
9.44HE damage / grenade
8.76Flashes / 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 23.7057% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0122%14 Oct →
nuke8–13-0.0821%14 Oct →
dust24–13-0.1010%4 Oct →
ancient13–100.0113%3 Oct →
mirage6–13-0.0216%3 Oct →
inferno11–13-0.015%3 Oct →
mirage13–7-0.0217%1 Oct →
anubis8–13-0.0221%1 Oct →
anubis9–2-0.0417%1 Oct →
rush_0015–10.1247%30 Sept →
nuke13–11-0.0314%24 Sept →
mirage13–9-0.0324%24 Sept →
mirage10–130.0324%24 Sept →
nuke6–9-0.1110%6 Sept →
shelter8–13-0.0318%11 Aug →
ancient13–10-0.048%4 Aug →
cache16–14-0.0311%3 Aug →
ancient13–80.088%3 Aug →
mirage6–13-0.0318%3 Aug →
nuke12–120.0117%3 Aug →
mirage13–11-0.0023%27 Jul →
overpass13–110.0025%23 Jun →
dust210–130.0224%29 May →
anubis13–8-0.0020%26 May →
overpass13–9-0.0520%21 May →
ancient8–130.0218%20 May →
overpass13–9-0.0217%19 May →
cache9–130.0016%18 May →
inferno4–13-0.0615%11 May →
anubis8–130.0211%10 May →
cache13–60.028%7 May →
nuke9–130.0115%7 May →
ancient6–13-0.0825%7 May →
cache13–70.0527%6 May →
cache10–13-0.026%5 May →
cache13–50.0719%5 May →
cache8–13-0.0717%5 May →
anubis13–50.0215%5 May →
inferno5–13-0.0523%5 May →
cache13–9-0.0020%4 May →
cache9–13-0.0324%30 Apr →
nuke6–13-0.0211%30 Apr →
nuke13–9-0.037%30 Apr →
ancient8–13-0.0721%28 Apr →
ancient8–13-0.0218%27 Apr →
overpass13–40.0411%25 Apr →
nuke9–2-0.069%24 Apr →
overpass13–110.0114%23 Apr →
ancient13–80.0411%22 Apr →
inferno13–9-0.0112%21 Apr →
ancient8–130.0017%20 Apr →
overpass13–70.0414%16 Apr →
ancient5–130.0920%15 Apr →
ancient7–13-0.0621%14 Apr →
inferno9–13-0.0521%13 Apr →
nuke13–20.0216%9 Apr →
ancient9–13-0.0312%8 Apr →
inferno13–80.0224%7 Apr →
inferno9–13-0.0213%7 Apr →
overpass13–100.0315%3 Apr →
inferno7–130.0323%31 Mar →
nuke10–13-0.068%31 Mar →
ancient11–13-0.0712%22 Mar →
ancient5–130.0021%21 Mar →
anubis10–13-0.0219%21 Mar →
ancient13–8-0.0116%21 Mar →
mirage13–80.0816%9 Mar →
anubis7–130.0220%6 Mar →
inferno5–13-0.0331%4 Mar →
overpass13–80.0310%26 Feb →
nuke3–13-0.0919%26 Feb →
nuke13–80.0319%24 Feb →
anubis9–13-0.0415%24 Feb →
mirage2–13-0.1218%21 Feb →
inferno11–130.0316%19 Feb →
inferno13–110.0310%17 Feb →
inferno13–70.0210%12 Feb →
nuke16–14-0.047%11 Feb →
overpass7–13-0.0214%11 Feb →
overpass13–30.0315%10 Feb →
overpass13–6-0.0020%10 Feb →
ancient13–20.010%5 Feb →
nuke1–13-0.1113%3 Feb →
ancient7–13-0.0514%3 Feb →
overpass12–120.0016%3 Feb →
inferno9–13-0.0016%29 Jan →
overpass3–13-0.0621%29 Jan →
nuke11–13-0.0210%27 Jan →
ancient11–13-0.068%27 Jan →
inferno13–20.1413%21 Jan →
nuke13–30.0217%20 Jan →
ancient12–12-0.0111%20 Jan →
inferno13–9-0.0013%18 Jan →
ancient13–11-0.0219%18 Jan →
nuke8–10.1323%13 Jan →
inferno6–13-0.029%13 Jan →
nuke13–110.0613%13 Jan →
ancient6–00.0413%13 Jan →
overpass13–6-0.016%9 Jan →
ancient13–60.0019%9 Jan →

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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