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FNT__

FNT__ — CS2 Stats

76561199387884177[U:1:1427618449]Steam profile ↗✓ No bans

750Tracked matches52%Win rate2022Tracked since
CSDB Rating3.9 LearningAll-Rounder
CSDB Leaderboard#226464 of 239032 tracked
FaceitLevel 5 · 1,440 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 44 days played since 26 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,134 +1,494 18 Apr – 17 Jun · 8 days played
13,75316,134peak 16,13418 Apr17 Jun
16,192Peak Premier in tracked matches
1,440Highest Faceit ELO seen on CSDB
44Days played since 2026-03-26

Faceit ELO

  • At peak — 1,440
  • Next: Level 8 at 1,531 — 91 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-23
  • Level 6 first seen 2026-09-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGFNT__FACEITLevel 5 · 1,440 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,440csdb.gg/stats

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Performance scores

Aim59
Positioning39
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWWWLWLWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +1.9pp headshot accuracy · −54ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 538ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 567ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 593ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.9
Utility3.5
Positioning3.9
Opening Duels1.6
Clutch3.4

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.

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

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 586ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9
Positioning3.9
Utility3.5
Mechanics3.7
Opening Duels1.3
Win Impact5.6

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time594ms−51ms
first ⅓ avg 645ms → last ⅓ avg 594ms
Headshot accuracy18.6%−0.1%
first ⅓ avg 18.7% → last ⅓ avg 18.6%

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.

Personal bests

0.09Best match rating · 13–5 · nuke, 23 May →
41%Best headshot accuracy · 10–13 · dust2, 15 Jun →
391msFastest reaction time · 12–12 · mirage, 1 Jul →
13–1Biggest win · mirage, 8 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 73% over 22nukeWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageS2216–673%-0.01
cacheC156–940%-0.02
infernoD153–1220%-0.03
nukeD122–1017%-0.02
anubisS128–467%-0.02
ancientS107–370%0.01
dust2C104–640%-0.03
train—21–150%0.01
sanctum—10–10%-0.08
vertigo—10–10%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

981Matches
50%Win rate
0.75Avg K/D
64.5ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage27450%0.7611.9
Ancient17555%0.7512.6
Inferno14548%0.7212.0
Nuke11549%0.7412.3
Dust28549%0.6611.7
Anubis7551%0.7411.8
Train6362%0.9012.8
Overpass3234%0.7613.9

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.

18.2%Headshot accuracy
33.9%Accuracy (enemy spotted)
40.0%Spray accuracy
66.7%Counter-strafing
10.4°Preaim
586msReaction time
26.8%T opening success
40.7%CT opening success
0.28Enemies flashed / flash
4.7%Flash assists
8.39HE damage / grenade
4.76Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2755 — below the 0.5 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 26.8289% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0527%14 Sept →
ancient13–40.0413%8 Sept →
mirage13–10.0339%8 Sept →
mirage13–110.0815%31 Aug →
cache8–13-0.0125%25 Aug →
ancient13–90.0620%20 Aug →
ancient10–13-0.0421%18 Aug →
mirage13–9-0.0321%18 Aug →
cache10–13-0.0517%17 Aug →
nuke8–13-0.1016%17 Aug →
nuke8–13-0.0420%13 Aug →
mirage13–5-0.0225%6 Aug →
cache9–13-0.0617%6 Aug →
mirage13–50.0323%2 Aug →
mirage13–50.0113%2 Aug →
nuke9–130.0521%31 Jul →
ancient13–30.0514%11 Jul →
nuke8–13-0.1026%11 Jul →
cache13–50.0115%11 Jul →
ancient13–100.0221%5 Jul →
nuke9–13-0.0611%3 Jul →
inferno10–13-0.0416%1 Jul →
mirage13–8-0.0111%1 Jul →
mirage12–12-0.0213%1 Jul →
nuke10–13-0.079%29 Jun →
inferno13–80.0126%29 Jun →
ancient5–130.0119%25 Jun →
anubis15–19-0.0415%25 Jun →
mirage13–11-0.0116%25 Jun →
dust216–13-0.0514%17 Jun →
mirage13–9-0.0124%17 Jun →
anubis9–13-0.0220%17 Jun →
nuke2–13-0.0814%17 Jun →
dust210–13-0.0241%15 Jun →
inferno15–15-0.0312%15 Jun →
dust213–160.0214%9 Jun →
inferno9–13-0.0222%8 Jun →
mirage13–20.0321%7 Jun →
cache13–90.0115%7 Jun →
cache13–4-0.0436%5 Jun →
mirage11–13-0.0712%4 Jun →
ancient13–8-0.0420%4 Jun →
sanctum4–9-0.0813%31 May →
mirage13–20.0616%31 May →
nuke5–13-0.0724%31 May →
anubis13–11-0.0112%31 May →
inferno11–13-0.0021%30 May →
dust211–13-0.0217%30 May →
mirage5–13-0.0111%30 May →
cache8–130.0227%30 May →
cache11–13-0.0011%28 May →
cache5–13-0.0710%28 May →
inferno13–8-0.0110%28 May →
anubis1–130.0210%27 May →
inferno23–25-0.037%27 May →
cache10–13-0.0512%24 May →
anubis2–13-0.0222%24 May →
mirage13–7-0.0115%24 May →
vertigo5–130.007%23 May →
cache8–13-0.0316%23 May →
anubis13–80.0115%23 May →
dust25–13-0.0824%23 May →
mirage13–90.0120%23 May →
inferno2–13-0.089%23 May →
ancient16–120.0210%23 May →
cache13–10-0.0214%23 May →
nuke13–50.0915%23 May →
inferno15–15-0.0822%22 May →
anubis13–8-0.055%22 May →
mirage13–9-0.0313%22 May →
ancient13–9-0.0113%22 May →
cache13–80.0016%22 May →
dust213–9-0.0523%22 May →
nuke3–130.0412%5 May →
cache5–13-0.0213%30 Apr →
inferno8–13-0.0222%26 Apr →
anubis13–10-0.0610%26 Apr →
train8–130.0126%26 Apr →
inferno7–13-0.0327%26 Apr →
dust27–130.0316%26 Apr →
mirage3–13-0.0615%26 Apr →
inferno13–60.0532%26 Apr →
cache13–8-0.0016%23 Apr →
anubis13–50.0016%23 Apr →
dust27–13-0.0529%20 Apr →
dust213–3-0.0629%20 Apr →
mirage13–11-0.0410%19 Apr →
inferno11–13-0.0120%19 Apr →
inferno11–13-0.0318%18 Apr →
inferno6–13-0.0519%14 Apr →
nuke13–70.0719%10 Apr →
nuke8–130.0032%10 Apr →
anubis16–12-0.0117%7 Apr →
anubis13–9-0.0530%6 Apr →
mirage7–13-0.0940%6 Apr →
train13–70.0016%6 Apr →
dust213–4-0.053%27 Mar →
ancient8–130.0018%27 Mar →
mirage13–10-0.0513%27 Mar →
anubis13–70.0010%26 Mar →

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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