Felic

Felic — CS2 Stats

DK76561197960387529[U:1:121801]Steam profile ↗✓ No bans

1,122Tracked matches43%Win rate2020Tracked since
1,810Hours in CS
CSDB Rating4.9 DevelopingSupport
CSDB Leaderboard#71699 of 258290 tracked
FaceitLevel 7 · 1,520 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,820 +3,612 13 Feb – 29 Mar · 26 days played
17,20822,809peak 22,80913 Feb29 Mar
22,809Peak Premier in tracked matches
1,520Highest Faceit ELO seen on CSDB
29Days played since 2026-02-13

Faceit ELO

  • At peak — 1,520
  • Next: Level 8 at 1,531 — 11 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate34.3%45.7%46.8%12.5% short
Shot accuracy14.0%12.7%13.0%above
Kill/death ratio1.011.051.060.05 short
Match win rate50.1%45.7%46.3%above

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFelicFACEITLevel 7 · 1,520 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,520csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim61
Positioning52
Utility57

0–100 skill scores via Leetify.

Recent form

COLD53–44–3Last 10053%Win rateLWLLLLWLWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.9pp headshot accuracy · −44ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 556ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 577ms

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 (+1 against its own average).

Aim6.1
Utility5.7
Positioning5.2
Opening Duels3.6
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.

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 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 589ms 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

Aim6.1
Positioning5.2
Utility5.7
Mechanics6.0
Opening Duels2.2
Win Impact2.8

Composite 4.9/10 (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 rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time587ms−16ms
first ⅓ avg 603ms → last ⅓ avg 587ms
Headshot accuracy14.8%+0.7%
first ⅓ avg 14.1% → last ⅓ avg 14.8%

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

0.13Best match rating · 13–2 · ancient, 29 Mar →
30%Best headshot accuracy · 4–13 · dust2, 21 Feb →
406msFastest reaction time · 13–4 · inferno, 18 Feb →
13–1Biggest win · inferno, 29 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 75% over 8dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2818–1064%0.02
ancientC198–1142%0.01
anubisC156–940%0.01
overpassS139–469%0.01
dust2C114–736%-0.01
mirageS86–275%0.02
nukeC52–340%0.02
cache—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,838Lifetime kills
1.01K/D
3,622Matches
50.1%Match win rate · Top 25% of Level 7 players
34.3%Headshot %
14.0%Shot accuracy · Top 50% of Level 7 players
10,079MVPs
1,810Hours (in match)
4,367Bombs planted
950Bombs defused

Most-used weapons

AK-4719,816
AWP6,836
P902,317
Tec-91,669
P2501,605
SG 5531,350

Lifetime map wins

10,988inferno
4,720cbble
3,004dust2
2,797vertigo
2,593nuke
1,080train
79bank
72lake

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

Faceit stats

Combat

645Matches
50%Win rate
1.03Avg K/D
77.0ADR
35%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4450%1.1116.8
Vertigo2756%1.1317.0
Ancient2454%1.1017.1
Anubis2343%0.9917.6
Nuke2050%0.9114.8
Dust21450%1.0415.1
Train520%1.1820.2
Overpass1100%1.3619.0

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.

14.7%Headshot accuracy
34.5%Accuracy (enemy spotted)
34.3%Spray accuracy
77.1%Counter-strafing
9.7°Preaim
589msReaction time
32.2%T opening success
45.2%CT opening success
0.62Enemies flashed / flash
4.7%Flash assists
8.74HE damage / grenade
12.36Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7462% — below the 15% mark we flag

    Aim Training →
  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 32.2092% — 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.

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–130.0113%18 Oct →
inferno13–110.0611%18 Oct →
ancient8–13-0.0012%18 Oct →
inferno5–90.0923%25 Jun →
dust211–13-0.0917%5 Jun →
inferno7–130.0215%29 Mar →
ancient13–20.1313%29 Mar →
overpass5–13-0.0317%29 Mar →
inferno13–10.0819%29 Mar →
nuke11–130.0111%28 Mar →
ancient13–11-0.0314%28 Mar →
anubis13–80.0713%23 Mar →
ancient13–70.0812%23 Mar →
ancient5–130.0412%23 Mar →
anubis6–13-0.0614%23 Mar →
ancient5–13-0.079%20 Mar →
ancient6–13-0.0912%18 Mar →
inferno13–5-0.0016%18 Mar →
ancient9–130.019%17 Mar →
anubis11–130.1013%17 Mar →
inferno13–70.0310%17 Mar →
ancient13–30.0418%16 Mar →
inferno4–130.0226%16 Mar →
inferno13–3-0.0618%16 Mar →
inferno13–80.0723%16 Mar →
overpass13–90.0722%15 Mar →
ancient8–130.0216%15 Mar →
overpass11–13-0.0122%15 Mar →
overpass13–100.036%14 Mar →
overpass9–13-0.018%14 Mar →
dust213–16-0.0323%14 Mar →
overpass13–3-0.0013%12 Mar →
inferno4–13-0.0210%12 Mar →
mirage16–130.0715%12 Mar →
ancient6–130.0013%11 Mar →
ancient8–13-0.0413%11 Mar →
inferno11–130.0418%11 Mar →
anubis13–80.0214%10 Mar →
inferno13–30.0516%10 Mar →
ancient13–90.0211%10 Mar →
overpass10–13-0.0114%9 Mar →
anubis6–130.0130%9 Mar →
dust213–60.0314%9 Mar →
dust211–130.008%9 Mar →
ancient13–100.0813%8 Mar →
inferno13–11-0.0315%8 Mar →
mirage13–110.0315%26 Feb →
inferno9–13-0.0218%26 Feb →
inferno12–160.0213%26 Feb →
nuke13–80.0121%25 Feb →
anubis13–90.0616%25 Feb →
ancient5–130.0221%25 Feb →
overpass13–30.019%25 Feb →
anubis4–13-0.098%25 Feb →
ancient8–13-0.0413%24 Feb →
dust21–13-0.0414%23 Feb →
inferno13–10-0.0611%23 Feb →
anubis8–13-0.0322%23 Feb →
anubis13–100.0517%23 Feb →
mirage13–20.027%23 Feb →
mirage13–80.0213%23 Feb →
inferno13–7-0.0212%22 Feb →
ancient10–130.0015%22 Feb →
overpass13–60.0110%22 Feb →
inferno8–13-0.0219%22 Feb →
inferno13–80.0519%22 Feb →
dust213–90.0611%22 Feb →
inferno13–10-0.025%22 Feb →
mirage10–130.0212%21 Feb →
anubis13–9-0.036%21 Feb →
inferno13–80.0122%21 Feb →
overpass13–9-0.067%21 Feb →
dust24–13-0.0430%21 Feb →
inferno13–90.1225%21 Feb →
anubis9–13-0.0215%18 Feb →
inferno13–40.1219%18 Feb →
mirage11–13-0.0716%17 Feb →
ancient13–10-0.0121%17 Feb →
anubis9–130.059%17 Feb →
inferno15–150.0514%17 Feb →
ancient13–80.0311%17 Feb →
overpass13–90.0712%17 Feb →
nuke15–150.0117%17 Feb →
inferno11–13-0.0221%16 Feb →
overpass13–110.0613%16 Feb →
anubis15–15-0.0110%16 Feb →
nuke9–130.0120%15 Feb →
inferno13–70.0210%15 Feb →
mirage13–110.0012%15 Feb →
nuke16–120.0616%15 Feb →
anubis13–90.055%14 Feb →
anubis9–13-0.0320%14 Feb →
dust213–110.0111%14 Feb →
inferno13–10.046%14 Feb →
dust213–110.0418%14 Feb →
mirage13–80.0815%14 Feb →
dust25–13-0.0321%13 Feb →
overpass13–30.0211%13 Feb →
inferno13–50.048%13 Feb →
dust28–13-0.0311%13 Feb →

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 →

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