Gluggenn — CS2 Stats

76561198263256376[U:1:302990648]

1,426Tracked matches57%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
Premier CS Rating23,195Top 50% of 819 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#2116 of 7792 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGGluggennFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,195 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning34
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY55441Last 10055%Win rateLLWWLWWWLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim6.4
Aggression0.9
Utility7.0
Positioning3.4
Opening Duels0.0
Clutch4.4

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 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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. 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

Aim6.4
Positioning3.4
Utility7.0
Mechanics6.7
Opening Duels0.0
Win Impact7.2

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time591ms−22ms
first ⅓ avg 613ms → last ⅓ avg 591ms
Headshot accuracy19.5%−0.7%
first ⅓ avg 20.2% → last ⅓ avg 19.5%

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.

Highlights

0.09Best rating — ancient 13–7
131Biggest win — mirage
8Longest win streak
L2Current streak
69In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 72% over 29infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
ancientS2921872%-0.01
anubisC1981142%-0.02
mirageA1610663%-0.03
cacheB115645%-0.02
dust2A85363%-0.02
infernoD71614%-0.01
vertigo42250%0.00
nuke31233%-0.01
overpass32167%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,135Matches
52%Win rate
1.02Avg K/D
69.4ADR
40%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4663%0.9614.1
Anubis3161%0.8511.9
Mirage2568%1.0212.6
Cache1346%0.8312.2
Nuke1267%0.8314.3
Vertigo1250%0.8213.7
Inferno1164%1.3715.4
Dust21020%0.7712.5

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.

20.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.9%Spray accuracy
80.0%Counter-strafing
10.1°Preaim
598msReaction time
15.5%T opening success
26.6%CT opening success
0.61Enemies flashed / flash
8.2%Flash assists
11.94HE damage / grenade
19.52Flashes / 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 15.4705% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis3–13-0.0417%22 Aug
inferno7–13-0.0417%22 Aug
mirage13–8-0.0629%22 Aug
ancient13–80.0215%22 Aug
mirage10–13-0.0617%22 Aug
dust213–6-0.0026%22 Aug
mirage13–40.0416%22 Aug
anubis13–8-0.0014%11 Aug
ancient18–22-0.0214%11 Aug
vertigo13–10-0.0218%11 Aug
anubis4–13-0.1022%6 Aug
mirage13–7-0.0229%6 Aug
anubis13–11-0.0223%6 Aug
anubis13–10-0.0521%6 Aug
cache10–13-0.0321%6 Aug
vertigo14–16-0.0221%6 Aug
cache13–20.0416%6 Aug
ancient13–7-0.0018%6 Aug
ancient7–130.0117%6 Aug
vertigo13–80.0324%5 Aug
vertigo6–130.0319%5 Aug
cache13–10-0.0312%5 Aug
ancient13–70.0229%5 Aug
ancient13–11-0.0832%5 Aug
mirage4–13-0.0121%5 Aug
ancient14–160.0320%5 Aug
anubis11–13-0.0016%5 Aug
mirage13–9-0.047%5 Aug
ancient13–8-0.0817%5 Aug
cache8–13-0.0639%4 Aug
mirage13–60.0315%4 Aug
ancient13–20.0510%4 Aug
ancient1–13-0.0514%4 Aug
ancient13–5-0.0132%4 Aug
cache13–6-0.028%4 Aug
ancient13–90.0122%4 Aug
ancient13–11-0.0321%3 Aug
ancient13–8-0.0218%3 Aug
ancient16–14-0.0319%3 Aug
anubis13–80.0220%3 Aug
nuke16–19-0.0131%3 Aug
anubis5–13-0.0819%3 Aug
cache17–190.0122%3 Aug
ancient13–40.0320%3 Aug
ancient13–20.0115%3 Aug
ancient3–13-0.0418%3 Aug
inferno1–13-0.1030%3 Aug
anubis2–13-0.0327%3 Aug
anubis13–6-0.0210%3 Aug
anubis13–10-0.1111%1 Aug
dust213–8-0.0017%1 Aug
mirage15–15-0.0322%1 Aug
cache3–13-0.0332%1 Aug
ancient13–70.0927%1 Aug
dust29–13-0.0420%29 Jul
mirage11–13-0.0613%29 Jul
mirage13–10.0032%28 Jul
mirage13–6-0.0224%28 Jul
ancient4–130.0324%28 Jul
mirage13–7-0.0619%28 Jul
inferno10–130.0416%27 Jul
cache13–7-0.0135%27 Jul
nuke11–13-0.0316%27 Jul
dust28–13-0.0728%27 Jul
cache13–10-0.0421%27 Jul
ancient6–13-0.1223%27 Jul
ancient13–80.0118%26 Jul
anubis13–80.0512%26 Jul
mirage13–80.0523%26 Jul
inferno14–16-0.0310%26 Jul
ancient13–70.0619%19 Jul
dust216–13-0.0715%19 Jul
cache13–16-0.0020%19 Jul
ancient13–10.0231%3 Jul
anubis9–130.0214%3 Jul
mirage13–9-0.0421%3 Jul
anubis2–11-0.0143%3 Jul
dust213–7-0.0118%1 Jul
overpass13–110.0018%1 Jul
inferno13–60.0427%1 Jul
ancient13–7-0.0523%1 Jul
ancient13–11-0.0914%28 Jun
dust213–40.0321%28 Jun
nuke13–60.0120%28 Jun
ancient16–130.0218%23 Jun
inferno8–13-0.0217%23 Jun
anubis7–130.0321%22 Jun
inferno7–130.0139%22 Jun
mirage4–13-0.0618%18 Jun
dust211–13-0.0015%17 Jun
overpass13–60.0317%17 Jun
mirage10–13-0.0926%17 Jun
anubis7–13-0.0225%13 Jun
ancient4–13-0.0521%13 Jun
ancient13–100.0419%12 Jun
overpass5–13-0.0113%12 Jun
cache10–13-0.1024%12 Jun
anubis13–40.067%11 Jun
anubis7–13-0.0720%11 Jun
anubis11–13-0.0318%11 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 →