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ABDULSZTANGA

ABDULSZTANGA — CS2 Stats

NE76561198977196856[U:1:1016931128]Steam profile ↗

1,958Tracked matches61%Win rate2021Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating17,937Purple band · top ~16.7% of ranked players (population est.)
CSDB Leaderboard#14364 of 27674 tracked
FaceitLevel 4 · 911 ELOTop 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGABDULSZTANGAFACEITLevel 4 · 911 ELOSTANDINGTop 81.0% of rankedPREMIER17,937 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning34
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49–40–11Last 10049%Win rateWLLLLTWWWW

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.5
Aggression4.6
Utility5.6
Positioning3.4
Opening Duels1.1
Clutch4.6

Strong CT-side opener

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

Your pro match

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim6.5
Positioning3.4
Utility5.6
Mechanics5.9
Opening Duels1.8
Win Impact8.6

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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time586ms+25ms
first ⅓ avg 561ms → last ⅓ avg 586ms
Headshot accuracy16.9%+2.0%
first ⅓ avg 14.9% → last ⅓ avg 16.9%

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.

Highlights

0.25Best rating — vertigo 9–3
13–3Biggest win — train
7Longest win streak
8–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 80% over 5nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
vertigoB4018–2245%-0.00
mirageA127–558%-0.02
cacheB115–645%-0.03
infernoA106–460%-0.01
nukeD72–529%-0.05
dust2B63–350%0.02
ancientS54–180%-0.02
anubis—33–0100%-0.01
office—20–20%-0.02
overpass—20–20%-0.08
train—21–150%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

119Matches
46%Win rate
1.08Avg K/D
80.6ADR
49%Headshot %

Clutches & streaks

43%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage4141%1.0614.7
Dust22055%0.8913.6
Anubis1443%1.1714.1
Inferno1443%1.0814.6
Nuke1471%1.4117.7
Vertigo1020%0.9813.7
Ancient540%1.0715.2

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.

14.8%Headshot accuracy
32.6%Accuracy (enemy spotted)
37.4%Spray accuracy
76.6%Counter-strafing
8.1°Preaim
598msReaction time
25.0%T opening success
44.2%CT opening success
0.56Enemies flashed / flash
5.2%Flash assists
9.08HE damage / grenade
10.25Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7827% — below the 15% mark we flag

    Aim Training →
  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 24.9739% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–50.0030%7 Aug →
cache3–13-0.1013%31 Jul →
vertigo4–9-0.0522%17 Jul →
vertigo4–9-0.0741%17 Jul →
vertigo5–9-0.0631%17 Jul →
vertigo8–80.0815%17 Jul →
vertigo9–40.0312%17 Jul →
vertigo9–60.0630%17 Jul →
vertigo9–60.148%16 Jul →
cache13–8-0.0018%16 Jul →
vertigo4–20.0814%16 Jul →
cache3–13-0.0244%16 Jul →
vertigo6–9-0.1619%16 Jul →
mirage13–7-0.0712%15 Jul →
cache11–13-0.0711%14 Jul →
inferno13–90.0010%14 Jul →
dust215–15-0.0315%14 Jul →
vertigo8–8-0.1222%14 Jul →
ancient11–13-0.029%14 Jul →
ancient13–9-0.049%13 Jul →
dust213–110.0214%13 Jul →
inferno8–13-0.0414%13 Jul →
mirage13–100.0315%12 Jul →
mirage8–13-0.0620%12 Jul →
mirage1–13-0.063%12 Jul →
anubis13–80.0111%12 Jul →
mirage16–12-0.0414%11 Jul →
mirage13–40.0513%11 Jul →
inferno13–11-0.019%10 Jul →
cache13–100.009%10 Jul →
nuke13–80.0214%9 Jul →
cache7–13-0.0516%9 Jul →
office9–13-0.0521%9 Jul →
dust29–130.0212%8 Jul →
cache13–110.0520%8 Jul →
office12–120.0016%8 Jul →
nuke10–1-0.0713%7 Jul →
vertigo9–70.0326%7 Jul →
inferno9–40.1110%7 Jul →
cache13–5-0.0513%6 Jul →
anubis13–9-0.0412%6 Jul →
dust210–130.0321%6 Jul →
vertigo4–90.0313%5 Jul →
nuke1–13-0.0216%5 Jul →
vertigo1–9-0.1137%2 Jul →
mirage6–13-0.0113%2 Jul →
cache12–12-0.0313%1 Jul →
cache13–100.0135%1 Jul →
nuke4–13-0.0613%1 Jul →
inferno6–13-0.0816%30 Jun →
inferno13–40.0524%30 Jun →
vertigo8–8-0.0229%30 Jun →
mirage9–130.0013%28 Jun →
overpass9–13-0.086%28 Jun →
mirage13–7-0.0116%27 Jun →
vertigo9–7-0.0424%25 Jun →
inferno13–90.019%25 Jun →
nuke8–13-0.0613%24 Jun →
overpass0–7-0.090%24 Jun →
dust213–90.0219%24 Jun →
mirage13–70.0319%23 Jun →
nuke5–13-0.0911%23 Jun →
cache5–13-0.0233%22 Jun →
mirage6–13-0.0720%22 Jun →
inferno5–9-0.187%22 Jun →
inferno9–20.046%22 Jun →
vertigo1–9-0.1621%22 Jun →
vertigo9–50.0817%21 Jun →
vertigo5–9-0.068%21 Jun →
train9–13-0.0218%20 Jun →
vertigo4–9-0.0010%20 Jun →
vertigo5–9-0.0210%20 Jun →
vertigo9–5-0.0513%20 Jun →
inferno5–90.0211%19 Jun →
vertigo8–8-0.0016%19 Jun →
train13–3-0.0218%19 Jun →
vertigo6–9-0.1119%19 Jun →
vertigo5–9-0.0419%18 Jun →
vertigo8–80.0024%17 Jun →
vertigo9–30.2415%17 Jun →
vertigo8–80.0118%16 Jun →
vertigo8–8-0.0611%16 Jun →
ancient13–5-0.0222%15 Jun →
vertigo7–9-0.2111%15 Jun →
vertigo9–40.0711%14 Jun →
ancient13–80.0116%14 Jun →
dust213–60.0516%14 Jun →
vertigo9–20.1710%14 Jun →
mirage13–4-0.0516%13 Jun →
vertigo9–30.008%13 Jun →
vertigo6–9-0.0819%13 Jun →
vertigo8–8-0.057%13 Jun →
vertigo9–40.0823%12 Jun →
vertigo9–20.1718%12 Jun →
vertigo9–4-0.075%11 Jun →
vertigo9–7-0.0510%11 Jun →
vertigo9–30.2543%11 Jun →
anubis13–5-0.0114%10 Jun →
ancient13–11-0.0310%10 Jun →
nuke7–9-0.0710%9 Jun →

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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