Kaogann

Kaogann — CS2 Stats

FR76561198365649378[U:1:405383650]Steam profile ↗1 game ban

159Tracked matches44%Win rate2020Tracked since
760Hours in CS
CSDB Rating5.7 SolidPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 54 days played since 8 May 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,166 -380 2 Jun8 Sept · 23 days played
11,88613,507peak 13,5072 Jun8 Sept
13,626Peak Premier in tracked matches
54Days played since 2023-05-08

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=8,862), 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 3 medianLevel 4 medianvs Level 4
Headshot rate40.0%41.9%42.7%2.7% short
Shot accuracy22.5%12.2%11.2%above
Kill/death ratio1.060.981.00above
Match win rate47.6%43.3%43.9%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGKaogannFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim74
Positioning52
Utility42

0–100 skill scores via Leetify.

Recent form

COLD48466Last 10048%Win rateLLWTLWLWLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −6.2pp headshot accuracy · −71ms 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

  • 131 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 556ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 624ms

Last 20

  • 7112 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 660ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim7.4
Utility4.2
Positioning5.2
Opening Duels2.8
Clutch2.6

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

iM

Plays most like iM 96% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

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

Reaction time. 657ms 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

Aim7.4
Positioning5.2
Utility4.2
Mechanics8.4
Opening Duels2.6
Win Impact3.1

Composite 5.7/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time667ms+50ms
first ⅓ avg 617ms → last ⅓ avg 667ms
Headshot accuracy19.7%+7.6%
first ⅓ avg 12.0% → last ⅓ avg 19.7%

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

0.16Best match rating · 13–0 · inferno, 10 Aug
57%Best headshot accuracy · 2–8 · dust2, 1 Sept
469msFastest reaction time · 10–13 · inferno, 10 Sept
13–0Biggest win · inferno, 10 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
56In matches decided by ≤2 rounds
18Overtime games

Map breakdown

ancientBest map · 60% over 5dust2Weakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB47232449%0.03
dust2C156940%0.01
mirageB147750%0.02
anubisC73443%-0.02
ancientA53260%0.01
nukeC52340%0.04
vertigo42250%0.04
train110100%0.05
thera1010%-0.06
mills110100%0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,736Lifetime kills
1.06K/D · Top 50% of Level 3 players
1,373Matches
47.6%Match win rate · Top 25% of Level 3 players
40.0%Headshot %
22.5%Shot accuracy · Top 1% of Level 3 players
4,014MVPs
760Hours (in match)
1,152Bombs planted
339Bombs defused

Most-used weapons

Lifetime map wins

8,788inferno
1,451dust2
756nuke
282vertigo
197train
120cbble
14lake
9stmarc

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

Faceit stats

Combat

149Matches
51%Win rate
1.18Avg K/D
97.0ADR
31%Headshot %

Clutches & streaks

33%1v1 clutch win
36%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1275%1.5418.6
Inferno475%1.3818.8
Dust2333%1.2919.0
Nuke10%1.3619.0
Anubis1100%2.5015.0
Cache1100%1.0814.0

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.

19.2%Headshot accuracy
37.2%Accuracy (enemy spotted)
36.8%Spray accuracy
87.6%Counter-strafing
9.7°Preaim
657msReaction time
41.5%T opening success
39.1%CT opening success
0.54Enemies flashed / flash
0.8%Flash assists
9.95HE damage / grenade
10.02Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.1244% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno5–9-0.0519%16 Sept
inferno10–13-0.0125%10 Sept
inferno13–80.0318%5 Sept
inferno12–12-0.0125%4 Sept
mirage6–130.0021%4 Sept
ancient13–2-0.0013%25 Oct
inferno5–130.0219%25 Oct
train13–60.0519%22 Nov
dust29–13-0.0417%22 Nov
inferno9–13-0.0323%8 Sept
anubis4–13-0.0522%8 Sept
dust26–130.0221%6 Sept
inferno13–100.0517%6 Sept
inferno13–60.0822%2 Sept
dust22–80.0857%1 Sept
mirage13–100.0918%1 Sept
inferno8–10.0150%1 Sept
inferno12–120.0224%30 Aug
vertigo6–13-0.0111%30 Aug
mirage9–130.0618%30 Aug
anubis12–16-0.0219%30 Aug
mirage7–13-0.0114%29 Aug
anubis13–8-0.028%29 Aug
dust213–110.0616%28 Aug
inferno12–120.0912%21 Aug
mirage16–12-0.0311%17 Aug
inferno16–140.0317%17 Aug
dust213–16-0.0120%15 Aug
mirage13–90.1224%15 Aug
dust27–13-0.0611%15 Aug
inferno9–130.0222%14 Aug
inferno9–13-0.054%14 Aug
dust213–70.0512%14 Aug
nuke13–80.0916%12 Aug
inferno13–40.0811%12 Aug
inferno13–100.0716%12 Aug
dust213–100.0728%12 Aug
anubis13–60.0217%12 Aug
inferno13–40.1217%12 Aug
inferno4–13-0.0421%11 Aug
inferno13–6-0.046%11 Aug
inferno12–120.0318%11 Aug
dust24–13-0.0716%11 Aug
inferno7–130.0313%11 Aug
inferno7–130.0916%10 Aug
inferno13–00.1639%10 Aug
inferno6–13-0.0417%10 Aug
inferno9–130.0426%10 Aug
inferno10–130.0326%9 Aug
nuke11–130.0126%9 Aug
dust213–90.0111%9 Aug
dust213–11-0.0413%5 Aug
anubis10–13-0.0314%5 Aug
mirage13–7-0.0413%4 Aug
anubis5–13-0.0513%4 Aug
dust214–16-0.0127%4 Aug
inferno16–130.0814%2 Aug
mirage13–11-0.0316%2 Aug
ancient15–150.0310%2 Aug
mirage13–70.1315%31 Jul
vertigo13–70.1214%31 Jul
inferno13–20.0919%30 Jul
ancient5–13-0.0625%27 Jul
dust213–90.0412%26 Jul
mirage6–13-0.0525%26 Jul
inferno13–80.039%21 Jul
mirage6–13-0.077%13 Jul
inferno13–110.0313%13 Jul
inferno13–40.0819%13 Jul
nuke10–13-0.076%13 Jul
thera2–13-0.0619%8 Jul
mills13–100.1420%8 Jul
inferno13–40.0518%6 Jun
dust24–130.0624%4 Jun
inferno11–13-0.0110%2 Jun
inferno13–10.0310%2 Jun
vertigo13–100.0510%24 May
inferno13–10.149%20 May
inferno0–3-0.110%4 May
inferno13–10.1218%29 Apr
nuke13–90.109%19 Apr
dust212–12-0.0011%14 Apr
ancient13–90.017%22 Mar
ancient13–100.0614%2 Feb
nuke11–130.0510%16 Sept
inferno11–13-0.0017%16 Sept
mirage13–40.025%15 Sept
anubis13–30.024%15 Sept
inferno7–130.009%14 Sept
inferno14–16-0.074%31 Aug
inferno16–110.1517%23 Aug
inferno10–160.0621%9 Aug
mirage12–160.048%9 Aug
vertigo10–160.028%8 Aug
inferno16–120.1012%8 Aug
inferno16–30.149%3 Aug
inferno2–16-0.0717%12 Jul
inferno12–16-0.0412%7 Jul
inferno16–130.0213%3 Jun
mirage13–16-0.0014%8 May

Match data via Leetify.

Recent teammates

Milestones

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