𝐹β±₯kieツ

𝐹β±₯kieツ β€” CS2 Stats

NL76561199213396924[U:1:1253131196]Steam profile β†—βœ“ No bans

2,529Tracked matches47%Win rate2021Tracked since
2,563Hours in CS6Hrs last 2 wks
CSDB Rating6.4 SolidHybrid Rifler
Premier CS Rating22,236Top 50% of 44,590 CSDB-tracked playersPink band Β· top ~6% of ranked players (population est.)
CSDB Leaderboard#14696 of 57116 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate49.6%51.7%
Shot accuracy6.5%13.8%
Kill/death ratio1.041.09
Match win rate50.5%48.7%

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CSDB.GG𝐹β±₯kieツFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER22,236 Β· Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning49
Utility68

0–100 skill scores via Leetify.

Recent form

COLD45–48–7Last 10045%Win rateLLWLLLWLLW

Last 10 vs previous 10: -40pp win rate Β· -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler β€” Aim-led profile without a single dominant tendency.

Aim8.5
Aggression5.3
Utility6.8
Positioning4.9
Opening Duels1.2
Clutch5.4

Sharp aimer

Style profile from tracked-match aggregates β€” 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 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 36 points β€” deaths here waste a strong aim profile.

Reaction time. 629ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.5
Positioning4.9
Utility6.8
Mechanics8.1
Opening Duels1.3
Win Impact3.9

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (Γ—1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00βˆ’0.00
first β…“ avg 0.01 β†’ last β…“ avg 0.00
Reaction time627ms+11ms
first β…“ avg 616ms β†’ last β…“ avg 627ms
Headshot accuracy24.4%+1.6%
first β…“ avg 22.8% β†’ last β…“ avg 24.4%

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

0.17Best rating β€” cache 12–12
13–1Biggest win β€” nuke
6Longest win streak
L2Current streak
9–5In matches decided by ≀2 rounds
5Overtime games

Map breakdown

nukeBest map Β· 71% over 7cacheWeakest map Β· 31% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%0.02
mirageC177–1041%0.02
cacheD165–1131%0.02
ancientA116–555%0.01
infernoB105–550%-0.02
nukeS75–271%0.01
anubisC73–443%0.01
overpassA74–357%0.00
vertigoβ€”11–0100%0.02
trainβ€”10–10%0.06
officeβ€”10–10%0.01
alpineβ€”10–10%0.02

Across the last 100 tracked matches.

Lifetime stats

63,287Lifetime kills
1.04K/D
3,796Matches
50.5%Match win rate Β· Top 50% of Level 10 players
49.6%Headshot %
6.5%Shot accuracy
10,726MVPs
1,427Hours (in match)
3,809Bombs planted
1,173Bombs defused

Most-used weapons

AK-4719,069
AWP5,167
MP92,557
MAC-102,136
SSG 081,808

Lifetime map wins

4,950dust2
4,643inferno
2,669vertigo
2,540nuke
802train
725cbble
281office
163italy

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

Faceit stats

Combat

403Matches
55%Win rate
1.12Avg K/D
78.7ADR
51%Headshot %

Clutches & streaks

47%1v1 clutch win
31%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage12253%1.0816.2
Inferno7464%1.2216.1
Vertigo4358%1.1015.4
Anubis4058%1.0816.1
Dust23158%1.0915.3
Ancient2259%1.2416.3
Nuke1540%0.9814.2
Overpass1060%1.0115.7

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches β€” stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.3%Headshot accuracy
35.2%Accuracy (enemy spotted)
49.4%Spray accuracy
86.6%Counter-strafing
9.9Β°Preaim
629msReaction time
28.8%T opening success
40.5%CT opening success
0.56Enemies flashed / flash
10.5%Flash assists
11.41HE damage / grenade
10.47Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 28.7627% β€” below the 40% mark we flag

Spend your practice time on Cache

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

31% win rate across 16 tracked games β€” your weakest map with enough games to be worth reading into.

Cache callouts & strategy β†’

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0523%30 Aug β†’
cache9–130.0129%30 Aug β†’
dust213–100.0919%27 Aug β†’
mirage4–130.0123%27 Aug β†’
ancient7–13-0.0414%27 Aug β†’
nuke4–13-0.0917%25 Aug β†’
nuke13–50.0547%22 Aug β†’
cache1–13-0.0338%13 Aug β†’
mirage8–130.0221%11 Aug β†’
nuke13–11-0.0025%11 Aug β†’
ancient13–90.0937%10 Aug β†’
mirage13–7-0.0122%7 Aug β†’
ancient13–90.0020%5 Aug β†’
ancient13–4-0.0219%3 Aug β†’
dust22–130.0421%3 Aug β†’
mirage9–13-0.0314%31 Jul β†’
cache13–5-0.0030%31 Jul β†’
cache10–13-0.0126%30 Jul β†’
anubis13–11-0.0216%27 Jul β†’
dust213–110.0028%27 Jul β†’
cache7–13-0.0221%24 Jul β†’
mirage9–13-0.0115%24 Jul β†’
dust25–13-0.053%23 Jul β†’
cache13–60.0826%21 Jul β†’
inferno13–70.0120%9 Jul β†’
dust213–50.1430%9 Jul β†’
cache12–160.0141%9 Jul β†’
dust213–80.0216%9 Jul β†’
cache5–13-0.1147%30 Jun β†’
inferno5–13-0.0532%11 Jun β†’
nuke13–90.0929%11 Jun β†’
overpass13–50.0116%11 Jun β†’
dust211–130.0424%11 Jun β†’
ancient13–5-0.0219%10 Jun β†’
inferno4–13-0.0617%10 Jun β†’
dust210–130.0033%9 Jun β†’
ancient13–9-0.0240%7 Jun β†’
nuke13–80.0626%1 Jun β†’
overpass15–15-0.0528%1 Jun β†’
mirage13–110.0316%31 May β†’
inferno10–13-0.0433%31 May β†’
dust25–13-0.0816%28 May β†’
cache12–12-0.0036%28 May β†’
overpass13–60.0013%20 May β†’
ancient13–60.0614%20 May β†’
mirage13–11-0.0226%20 May β†’
mirage6–130.0017%19 May β†’
vertigo13–90.0218%14 May β†’
dust212–120.0929%14 May β†’
dust210–13-0.0219%11 May β†’
overpass11–130.1428%11 May β†’
mirage6–130.0824%8 May β†’
dust27–130.0432%8 May β†’
anubis5–13-0.0438%7 May β†’
dust213–60.0430%7 May β†’
cache13–100.0615%5 May β†’
cache12–120.1722%5 May β†’
cache0–60.0156%5 May β†’
nuke8–130.0129%3 May β†’
cache13–70.0632%1 May β†’
dust24–13-0.0614%29 Apr β†’
cache10–130.0216%29 Apr β†’
cache12–12-0.043%29 Apr β†’
cache13–110.0815%29 Apr β†’
mirage10–130.0121%27 Apr β†’
mirage13–70.1324%27 Apr β†’
anubis13–100.0220%26 Apr β†’
dust25–13-0.0313%21 Apr β†’
nuke13–1-0.0516%21 Apr β†’
anubis10–130.0427%21 Apr β†’
mirage3–13-0.0716%21 Apr β†’
dust213–50.0524%21 Apr β†’
inferno13–80.0321%19 Apr β†’
dust213–100.1217%19 Apr β†’
inferno13–30.1016%17 Apr β†’
anubis13–80.0510%16 Apr β†’
mirage5–130.1221%16 Apr β†’
overpass7–13-0.0521%16 Apr β†’
dust29–130.0319%15 Apr β†’
mirage13–80.0923%9 Apr β†’
overpass13–11-0.0440%6 Apr β†’
ancient15–150.0721%6 Apr β†’
train11–130.0626%3 Apr β†’
anubis10–130.0418%2 Apr β†’
overpass13–7-0.0118%1 Apr β†’
dust210–13-0.0235%30 Mar β†’
inferno13–60.0310%29 Mar β†’
dust213–110.0118%29 Mar β†’
mirage13–2-0.0628%29 Mar β†’
inferno13–9-0.0850%28 Mar β†’
mirage13–60.0333%28 Mar β†’
dust216–14-0.0334%28 Mar β†’
inferno6–9-0.0425%28 Mar β†’
inferno11–13-0.0518%27 Mar β†’
ancient9–13-0.0519%27 Mar β†’
mirage11–130.0125%26 Mar β†’
office12–120.0118%26 Mar β†’
alpine7–130.0228%26 Mar β†’
anubis0–13-0.0620%26 Mar β†’
ancient12–160.0422%26 Mar β†’

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’