기비

기비 — CS2 Stats

US76561198243151522[U:1:282885794]Steam profile ↗✓ No bans

1,747Tracked matches24%Win rate2022Tracked since
3,265Hours in CS14Hrs last 2 wks
CSDB Rating4.3 DevelopingHybrid Rifler
Premier CS Rating12,820Blue band · top ~40% of ranked players (population est.)
CSDB Leaderboard#21801 of 32060 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.7%41.7%44.1%2.3% short
Shot accuracy11.1%8.8%11.4%0.4% short
Kill/death ratio0.840.971.030.19 short
Match win rate38.1%43.8%45.2%7.1% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GG기비PREMIER12,820 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning49
Utility35

0–100 skill scores via Leetify.

Recent form

COLD32617Last 10032%Win rateLTLTLWLLLL

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression5.9
Utility3.5
Positioning4.9
Opening Duels1.3
Clutch0.0

Limited utility dependence

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 83% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

Reaction time. 660ms 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
Positioning4.9
Utility3.5
Mechanics6.6
Opening Duels1.3
Win Impact0.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time667ms−39ms
first ⅓ avg 706ms → last ⅓ avg 667ms
Headshot accuracy23.6%+3.3%
first ⅓ avg 20.2% → last ⅓ avg 23.6%

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

0.12Best rating — ancient 13–7
131Biggest win — mirage
3Longest win streak
66In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 44% over 9infernoWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
mirageC1971237%-0.04
cacheC1871139%-0.02
nukeC145936%-0.03
infernoD1431121%-0.02
dust2D1331023%-0.02
ancientC94544%-0.02
anubisD92722%-0.02
vertigo21150%-0.08
shelter1010%-0.00
office1010%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,542Lifetime kills
0.84K/D
2,503Matches
38.1%Match win rate
41.7%Headshot % · Top 50% of Blue band
11.1%Shot accuracy · Top 50% of Blue band
3,777MVPs
909Hours (in match)
1,991Bombs planted
504Bombs defused

Most-used weapons

Lifetime map wins

3,105inferno
2,956nuke
2,456dust2
1,793vertigo
749train
98lake
88office
45cbble

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

Faceit stats

Combat

53Matches
42%Win rate
0.78Avg K/D
58.6ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%0.7213.0
Dust210%0.428.0
Mirage10%0.6710.0
Vertigo1100%1.1515.0

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.

24.4%Headshot accuracy
31.2%Accuracy (enemy spotted)
35.5%Spray accuracy
79.8%Counter-strafing
10.0°Preaim
660msReaction time
32.9%T opening success
37.1%CT opening success
0.62Enemies flashed / flash
0.0%Flash assists
8.50HE damage / grenade
2.20Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.201 — below the 4 mark we flag

    Grenade Lineups
  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 32.9392% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0324%29 Aug
nuke8–8-0.0422%29 Aug
nuke5–13-0.0121%27 Aug
ancient15–150.0225%27 Aug
anubis6–13-0.0522%27 Aug
inferno13–10-0.0120%26 Aug
vertigo1–9-0.140%26 Aug
dust24–13-0.047%26 Aug
inferno5–130.0320%26 Aug
nuke5–13-0.0424%26 Aug
mirage13–1-0.0432%26 Aug
mirage1–13-0.1130%19 Aug
cache13–10-0.0726%19 Aug
anubis6–13-0.0110%19 Aug
mirage9–13-0.0330%19 Aug
mirage2–13-0.0325%18 Aug
inferno1–13-0.0442%18 Aug
mirage13–80.0517%18 Aug
vertigo9–7-0.0324%18 Aug
mirage8–13-0.0316%12 Aug
nuke13–160.0341%12 Aug
mirage13–60.0319%12 Aug
inferno1–13-0.1023%10 Aug
dust26–13-0.0121%10 Aug
inferno5–130.0516%6 Aug
ancient13–70.1212%6 Aug
dust211–13-0.0330%6 Aug
cache7–13-0.0048%6 Aug
shelter4–13-0.0025%5 Aug
office6–130.0513%5 Aug
nuke13–9-0.0918%5 Aug
inferno7–130.0364%5 Aug
cache11–13-0.0312%5 Aug
anubis4–13-0.0827%5 Aug
anubis5–130.0021%31 Jul
dust215–15-0.0410%31 Jul
dust24–13-0.0333%28 Jul
mirage0–13-0.0924%28 Jul
dust28–13-0.0515%28 Jul
anubis1–130.0132%28 Jul
cache13–9-0.0420%27 Jul
nuke13–11-0.0524%27 Jul
cache16–120.0633%27 Jul
cache5–13-0.0514%27 Jul
cache11–130.0128%27 Jul
anubis11–13-0.0313%27 Jul
ancient10–13-0.0617%26 Jul
mirage1–13-0.0213%26 Jul
nuke3–13-0.0728%26 Jul
mirage2–13-0.0621%26 Jul
dust25–2-0.0750%26 Jul
inferno4–13-0.0424%26 Jul
cache8–13-0.0623%26 Jul
nuke4–13-0.0416%26 Jul
ancient16–130.0018%24 Jul
ancient16–14-0.0313%24 Jul
cache5–13-0.1020%23 Jul
inferno15–15-0.0026%23 Jul
mirage10–13-0.0320%21 Jul
cache6–13-0.0233%21 Jul
dust213–50.1057%21 Jul
dust28–13-0.0225%20 Jul
inferno8–13-0.0626%20 Jul
anubis13–70.0320%20 Jul
nuke15–150.0118%20 Jul
nuke15–15-0.0616%20 Jul
mirage13–11-0.0533%18 Jul
nuke13–9-0.0919%16 Jul
ancient10–13-0.0325%16 Jul
ancient5–13-0.0816%16 Jul
mirage13–9-0.076%16 Jul
mirage4–13-0.1414%16 Jul
dust213–4-0.038%16 Jul
inferno7–13-0.0333%15 Jul
mirage13–5-0.0413%15 Jul
cache9–13-0.0020%15 Jul
ancient7–13-0.1118%15 Jul
cache13–8-0.0220%15 Jul
nuke5–0-0.0160%15 Jul
cache11–13-0.0626%10 Jul
anubis7–13-0.0423%10 Jul
nuke5–13-0.0514%10 Jul
inferno13–100.0238%10 Jul
cache9–13-0.0511%9 Jul
ancient13–10-0.0623%9 Jul
cache13–100.0326%9 Jul
cache13–11-0.0419%9 Jul
mirage9–13-0.064%9 Jul
inferno4–9-0.0225%8 Jul
cache12–12-0.0420%8 Jul
cache13–30.0411%7 Jul
mirage1–13-0.1011%23 Jun
nuke13–80.0626%23 Jun
mirage13–11-0.0316%22 Jun
anubis13–70.016%22 Jun
dust212–160.0426%22 Jun
inferno1–13-0.0812%22 Jun
dust26–13-0.0726%22 Jun
mirage9–130.0126%17 Jun
inferno13–5-0.0325%16 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 →