F4LK

F4LK — CS2 Stats

DK76561197995156681[U:1:34890953]Steam profile ↗✓ No bans

840Tracked matches44%Win rate2022Tracked since
CSDB Rating4.7 DevelopingSupport
CSDB Leaderboard#90937 of 259896 tracked
FaceitLevel 9 · 1,698 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,652 +5,409 9 Oct – 4 Jul · 26 days played
14,11321,187peak 21,1879 Oct4 Jul
21,187Peak Premier in tracked matches
1,698Highest Faceit ELO seen on CSDB
52Days played since 2025-10-09

Faceit ELO

  • At peak — 1,698
  • Next: Level 9 at 1,751 — 53 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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

Share this profile

CSDB.GGF4LKFACEITLevel 9 · 1,698 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,698csdb.gg/stats

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Performance scores

Aim63
Positioning47
Utility60

0–100 skill scores via Leetify.

Recent form

COLD52–41–7Last 10052%Win rateWLLTLLLLLW

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −1.8pp headshot accuracy · −92ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 508ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 549ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim6.3
Utility6.0
Positioning4.7
Opening Duels0.5
Clutch4.2

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

T-side openings. Opening success drops from 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim6.3
Positioning4.7
Utility6.0
Mechanics5.2
Opening Duels1.3
Win Impact3.1

Composite 4.7/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time607ms+4ms
first ⅓ avg 603ms → last ⅓ avg 607ms
Headshot accuracy16.4%−3.1%
first ⅓ avg 19.5% → last ⅓ avg 16.4%

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.

Personal bests

0.10Best match rating · 13–6 · inferno, 9 Dec →
50%Best headshot accuracy · 13–4 · inferno, 14 Oct →
438msFastest reaction time · 9–13 · inferno, 2 Oct →
13–3Biggest win · train, 14 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–3In matches decided by ≤2 rounds
18Overtime games

Map breakdown

nukeBest map · 68% over 19ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2011–955%0.01
nukeS1913–668%0.02
mirageB126–650%0.01
ancientC114–736%0.01
dust2C114–736%-0.01
overpassA106–460%0.00
anubisC83–538%-0.02
trainA53–260%0.03
rooftop—32–167%-0.05
cache—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

372Matches
52%Win rate
1.10Avg K/D
80.1ADR
40%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3956%1.1415.7
Nuke3967%1.0416.0
Ancient2962%1.2017.3
Anubis2241%1.1017.2
Mirage1765%1.1915.9
Overpass1145%1.3319.9
Dust21050%0.8614.0
Vertigo729%0.8114.0

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.

17.2%Headshot accuracy
35.4%Accuracy (enemy spotted)
38.6%Spray accuracy
73.5%Counter-strafing
10.6°Preaim
603msReaction time
21.5%T opening success
40.5%CT opening success
0.62Enemies flashed / flash
7.3%Flash assists
10.62HE damage / grenade
9.43Flashes / 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 21.4513% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke19–17-0.0115%20 Oct →
inferno9–130.0317%2 Oct →
ancient4–130.0328%1 Oct →
anubis15–15-0.0333%30 Sept →
anubis5–13-0.085%11 Aug →
cache5–9-0.0311%13 Jul →
dust210–130.0311%4 Jul →
ancient9–130.0214%4 Jul →
inferno4–130.0119%4 Jul →
nuke13–5-0.068%29 Jun →
inferno13–10-0.0313%29 Jun →
nuke13–60.0525%12 May →
ancient7–13-0.0319%12 Apr →
nuke13–60.0019%9 Apr →
overpass6–13-0.0111%6 Apr →
dust215–15-0.0227%1 Apr →
dust29–13-0.0115%12 Mar →
inferno4–13-0.078%12 Mar →
inferno16–140.0122%8 Mar →
nuke13–110.0221%28 Feb →
mirage6–13-0.0133%28 Feb →
anubis10–13-0.0320%28 Feb →
nuke13–70.016%28 Feb →
nuke7–13-0.0016%23 Feb →
ancient13–9-0.0114%19 Feb →
overpass15–15-0.0711%16 Feb →
dust23–13-0.050%16 Feb →
mirage13–50.0418%16 Feb →
nuke13–60.0723%8 Feb →
anubis13–70.0019%8 Feb →
nuke16–120.0917%8 Feb →
anubis13–90.0213%5 Feb →
anubis11–13-0.0313%2 Feb →
overpass13–10-0.0115%2 Feb →
anubis15–15-0.0219%27 Jan →
nuke15–150.0516%27 Jan →
mirage13–100.0212%27 Jan →
train13–30.0317%14 Jan →
dust28–130.0414%14 Jan →
overpass13–11-0.0323%14 Jan →
overpass10–130.0331%11 Jan →
nuke13–9-0.0125%11 Jan →
inferno13–30.0515%11 Jan →
anubis13–60.003%10 Jan →
nuke12–160.0324%6 Jan →
inferno8–130.0024%6 Jan →
nuke13–70.0116%6 Jan →
nuke13–100.0529%4 Jan →
overpass13–11-0.008%2 Jan →
train3–13-0.0326%2 Jan →
inferno16–14-0.0321%26 Dec →
overpass13–110.1017%22 Dec →
ancient3–130.0022%22 Dec →
ancient15–15-0.0615%17 Dec →
mirage13–5-0.0223%17 Dec →
dust213–70.0318%17 Dec →
ancient4–13-0.0018%17 Dec →
dust213–9-0.0226%15 Dec →
inferno13–50.0511%15 Dec →
train6–130.048%9 Dec →
nuke6–130.0520%9 Dec →
inferno13–60.108%9 Dec →
mirage10–13-0.0418%3 Dec →
inferno9–13-0.0511%3 Dec →
dust211–13-0.0622%30 Nov →
overpass13–110.0610%30 Nov →
mirage6–130.0310%28 Nov →
nuke2–13-0.107%28 Nov →
train13–50.0622%28 Nov →
inferno10–13-0.0336%28 Nov →
train13–40.0423%26 Nov →
inferno16–130.0214%26 Nov →
dust29–13-0.0328%26 Nov →
mirage15–150.0820%23 Nov →
nuke16–120.0319%15 Nov →
overpass13–11-0.0225%12 Nov →
nuke16–13-0.0115%12 Nov →
ancient10–130.0015%11 Nov →
mirage13–100.0325%9 Nov →
ancient16–130.0622%9 Nov →
inferno13–8-0.0221%4 Nov →
dust213–8-0.0411%1 Nov →
mirage10–13-0.0223%26 Oct →
inferno13–10-0.0111%23 Oct →
ancient13–80.0521%23 Oct →
nuke14–160.0114%21 Oct →
mirage13–40.068%21 Oct →
inferno13–100.0718%21 Oct →
inferno15–190.0316%20 Oct →
inferno10–130.0326%20 Oct →
inferno4–13-0.0214%16 Oct →
rooftop9–70.0525%16 Oct →
rooftop9–70.0417%16 Oct →
rooftop1–9-0.2313%16 Oct →
overpass10–13-0.0320%14 Oct →
mirage10–130.0015%14 Oct →
inferno13–40.0350%14 Oct →
ancient10–10.0710%14 Oct →
dust213–70.0217%14 Oct →
mirage13–5-0.0024%9 Oct →

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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