✪ iGanGz

✪ iGanGz — CS2 Stats

FR76561198827386524[U:1:867120796]Steam profile ↗✓ No bans

815Tracked matches43%Win rate2020Tracked since
1,228Hours in CS97Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
FaceitLevel 8 · 1,314 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate43.2%46.8%48.2%5.0% short
Shot accuracy6.6%13.0%13.2%6.6% short
Kill/death ratio0.871.061.070.20 short
Match win rate53.7%46.3%46.9%above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✪ iGanGzFACEITLevel 8 · 1,314 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning62
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateWLLLWWLLLW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −0.1pp headshot accuracy · −11ms 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 18%
  • Avg reaction 519ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 513ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 519ms

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 (+1.2 against its own average).

Aim6.8
Utility6.1
Positioning6.2
Opening Duels4.7
Clutch3.2

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.

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 84% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim6.8
Positioning6.2
Utility6.1
Mechanics5.9
Opening Duels6.4
Win Impact2.8

Composite 5.4/10 (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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time519ms−119ms
first ⅓ avg 638ms → last ⅓ avg 519ms
Headshot accuracy16.2%−2.0%
first ⅓ avg 18.2% → last ⅓ avg 16.2%

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

0.12Best match rating · 8–13 · dust2, 10 Oct →
38%Best headshot accuracy · 1–11 · mirage, 14 Jun →
359msFastest reaction time · 13–6 · anubis, 2 Aug →
13–1Biggest win · mirage, 20 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–13In matches decided by ≤2 rounds
20Overtime games

Map breakdown

ancientBest map · 64% over 14infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC3013–1743%0.01
dust2B2613–1350%0.00
anubisB179–853%0.01
ancientA149–564%0.00
infernoD92–722%-0.03
cache—31–233%-0.05
nuke—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,478Lifetime kills
0.87K/D
1,313Matches
53.7%Match win rate · Top 10% of Level 8 players
43.2%Headshot %
6.6%Shot accuracy
3,686MVPs
635Hours (in match)
1,234Bombs planted
338Bombs defused

Most-used weapons

AK-478,705
AWP1,452
MP91,019
AUG855
Knife696

Lifetime map wins

2,217dust2
1,513inferno
511cbble
286vertigo
262train
189nuke
14office
1ar_monastery

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

Faceit stats

Combat

663Matches
50%Win rate
1.01Avg K/D
76.6ADR
45%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage18346%1.0315.3
Dust215750%0.9614.8
Ancient12555%1.0915.9
Inferno9251%0.9815.1
Anubis8149%0.9915.8
Cache1662%1.0212.7
Nuke633%0.8414.5
Overpass1100%1.9121.0

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.

16.4%Headshot accuracy
34.5%Accuracy (enemy spotted)
33.9%Spray accuracy
76.7%Counter-strafing
10.1°Preaim
521msReaction time
50.9%T opening success
60.2%CT opening success
0.59Enemies flashed / flash
12.3%Flash assists
9.60HE damage / grenade
7.75Flashes / match

Recommended for you

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–14-0.0223%3 Nov →
inferno10–130.0312%1 Nov →
anubis6–13-0.0523%31 Oct →
anubis9–13-0.0316%28 Oct →
anubis16–140.0415%27 Oct →
mirage13–60.0120%27 Oct →
mirage10–130.0412%25 Oct →
dust214–16-0.0118%25 Oct →
dust214–16-0.027%24 Oct →
anubis19–16-0.0019%24 Oct →
mirage13–60.0713%24 Oct →
anubis13–90.0512%24 Oct →
inferno13–16-0.0114%23 Oct →
dust28–13-0.0125%23 Oct →
mirage8–130.0417%22 Oct →
mirage13–10.0415%20 Oct →
anubis13–90.0218%20 Oct →
anubis11–13-0.0116%17 Oct →
mirage11–130.0717%11 Oct →
dust213–80.0218%11 Oct →
dust28–130.1216%10 Oct →
mirage7–13-0.0317%20 Sept →
dust25–13-0.0226%20 Sept →
cache4–13-0.088%20 Sept →
mirage13–100.0718%19 Sept →
ancient13–100.0617%13 Sept →
dust213–8-0.0015%13 Sept →
dust22–5-0.010%12 Sept →
dust28–130.0316%7 Sept →
inferno13–9-0.0721%6 Sept →
anubis5–130.0615%5 Sept →
mirage9–130.0816%5 Sept →
mirage13–100.0322%5 Sept →
ancient13–70.0229%5 Sept →
cache16–13-0.0322%31 Aug →
inferno7–13-0.0717%30 Aug →
dust213–8-0.0037%25 Aug →
mirage5–130.0021%25 Aug →
ancient13–11-0.0321%25 Aug →
inferno16–140.0219%24 Aug →
dust216–140.0526%24 Aug →
ancient11–13-0.0017%24 Aug →
inferno2–13-0.0910%19 Aug →
mirage13–4-0.0213%18 Aug →
anubis13–160.0210%16 Aug →
cache10–13-0.0316%16 Aug →
inferno6–13-0.076%16 Aug →
mirage10–13-0.0017%14 Aug →
mirage16–130.0111%14 Aug →
mirage6–13-0.0418%13 Aug →
mirage10–130.0121%11 Aug →
ancient17–190.0221%10 Aug →
ancient6–13-0.058%10 Aug →
dust24–13-0.0315%10 Aug →
dust213–80.0626%9 Aug →
mirage13–90.1030%8 Aug →
dust213–9-0.0118%8 Aug →
inferno11–130.0318%8 Aug →
anubis4–13-0.0214%8 Aug →
mirage13–6-0.0210%8 Aug →
dust213–6-0.0321%8 Aug →
ancient13–11-0.0115%3 Aug →
dust213–7-0.0515%2 Aug →
anubis16–140.0920%2 Aug →
mirage6–13-0.0314%2 Aug →
ancient13–20.0211%2 Aug →
anubis13–6-0.079%2 Aug →
mirage13–16-0.0321%2 Aug →
dust29–130.0121%2 Aug →
dust217–19-0.0010%2 Aug →
ancient9–13-0.0715%26 Jul →
ancient13–30.0620%26 Jul →
inferno8–13-0.047%15 Jul →
dust23–13-0.0328%14 Jul →
dust213–100.0419%14 Jul →
ancient13–110.0226%5 Jul →
ancient13–9-0.0120%27 Jun →
anubis5–130.0115%27 Jun →
mirage13–50.0118%21 Jun →
dust213–80.0725%21 Jun →
dust213–100.0918%15 Jun →
mirage1–11-0.0438%14 Jun →
dust23–13-0.0517%7 Jun →
anubis13–3-0.045%6 Jun →
mirage5–13-0.0413%6 Jun →
mirage4–13-0.0317%6 Jun →
mirage0–10-0.0315%6 Jun →
ancient14–16-0.0122%6 Jun →
dust213–7-0.0127%3 Jun →
dust213–7-0.026%1 Jun →
dust210–13-0.0824%22 May →
anubis17–190.0220%17 May →
anubis13–110.0721%17 May →
ancient16–120.0310%17 May →
mirage13–50.0613%17 May →
mirage19–160.0413%16 May →
anubis13–10-0.0516%15 May →
mirage11–13-0.0030%15 May →
nuke11–13-0.0520%14 May →
mirage17–19-0.0111%12 May →

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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