Fenski

Fenski — CS2 Stats

FI76561198093675942[U:1:133410214]Steam profile ↗✓ No bans

466Tracked matches72%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
Premier CS Rating19,999Top 50% of 213,211 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85520 of 259896 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,999 +5,560 26 Mar – 3 Nov · 19 days played
12,75019,999peak 19,99926 Mar3 Nov
20,111Peak Premier in tracked matches
55Days played since 2024-03-26

Premier CS Rating

  • At peak — 19,999
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGFenskiPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning61
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWWTWLWLLWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.2pp headshot accuracy · +43ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 586ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 573ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 551ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim6.5
Utility5.6
Positioning6.1
Opening Duels2.5
Clutch4.2

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

iM

Plays most like iM 86% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 559ms 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

Aim6.5
Positioning6.1
Utility5.6
Mechanics7.4
Opening Duels3.8
Win Impact10.0

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time567ms−89ms
first ⅓ avg 656ms → last ⅓ avg 567ms
Headshot accuracy14.6%−3.5%
first ⅓ avg 18.1% → last ⅓ avg 14.6%

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

0.19Best match rating · 4–13 · ancient, 5 Apr →
67%Best headshot accuracy · 3–13 · ancient, 29 Oct →
297msFastest reaction time · 2–13 · inferno, 29 May →
13–0Biggest win · inferno, 12 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 75% over 24ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeS2418–675%0.00
infernoB2211–1150%0.01
mirageC187–1139%0.00
dust2C177–1041%0.02
ancientD93–633%0.03
cache—44–0100%-0.00
overpass—42–250%0.03
train—11–0100%0.08
anubis—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

290Matches
54%Win rate
1.26Avg K/D
71.4ADR
31%Headshot %

Clutches & streaks

41%1v1 clutch win
12%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke888%1.0413.3
Dust2667%0.9212.7
Inferno560%1.2118.4
Mirage3100%1.9214.3
Ancient333%0.9811.3
Anubis333%1.0916.3
Cache1100%1.5625.0

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.

15.4%Headshot accuracy
35.6%Accuracy (enemy spotted)
35.8%Spray accuracy
83.1%Counter-strafing
12.0°Preaim
559msReaction time
44.3%T opening success
46.1%CT opening success
0.48Enemies flashed / flash
5.6%Flash assists
9.02HE damage / grenade
12.18Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0474° — above the 12° mark we flag

    Aim Training →
  2. 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 0.4761 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–110.0216%3 Nov →
nuke13–7-0.0013%3 Nov →
nuke15–150.0015%26 Oct →
cache13–10-0.0419%26 Oct →
nuke10–13-0.0418%24 Oct →
cache13–100.0821%23 Oct →
ancient1–11-0.117%23 Oct →
inferno12–16-0.0212%23 Oct →
dust216–140.0618%23 Oct →
inferno13–70.0612%16 Oct →
dust213–7-0.024%16 Oct →
dust211–13-0.007%14 Oct →
nuke13–2-0.0129%14 Oct →
inferno13–4-0.019%12 Oct →
mirage13–80.0523%12 Oct →
nuke13–40.0020%12 Oct →
mirage6–13-0.0719%6 Oct →
cache13–10-0.0813%6 Oct →
dust213–100.0410%28 Sept →
mirage9–130.0014%28 Sept →
dust26–13-0.0523%28 Sept →
cache13–70.026%28 Sept →
nuke13–60.0711%4 Sept →
dust26–90.0127%4 Sept →
nuke13–10-0.0118%31 Aug →
inferno6–1-0.030%19 Apr →
dust213–110.1816%18 Apr →
mirage13–1-0.0125%18 Apr →
nuke13–9-0.0518%6 Apr →
nuke13–100.0315%6 Apr →
overpass3–13-0.015%6 Apr →
train13–30.0812%21 Dec →
inferno11–130.0810%9 Dec →
ancient2–110.0316%9 Dec →
nuke5–2-0.0315%1 Dec →
dust29–130.0217%1 Dec →
ancient7–130.0121%1 Dec →
overpass13–90.1024%17 Aug →
mirage2–90.0330%17 Aug →
mirage7–130.0214%6 Aug →
overpass4–13-0.0116%6 Aug →
inferno10–13-0.029%21 Jul →
dust213–70.0311%19 Jul →
mirage13–30.1211%19 Jul →
inferno13–50.0611%7 Jul →
dust210–13-0.0111%2 Jul →
inferno13–40.1511%26 Jun →
inferno9–13-0.0224%15 Jun →
nuke6–13-0.0318%15 Jun →
dust216–140.0416%2 Jun →
inferno2–13-0.086%29 May →
mirage4–13-0.0425%29 May →
mirage3–7-0.0613%29 May →
inferno6–13-0.0520%29 May →
dust24–130.049%29 May →
dust213–20.0313%29 May →
mirage11–13-0.0111%29 May →
mirage2–13-0.0925%29 May →
ancient13–160.0219%28 May →
inferno13–10-0.0213%27 Mar →
nuke13–40.0111%20 Feb →
ancient13–60.0110%20 Feb →
dust215–15-0.0219%12 Feb →
nuke2–13-0.0510%16 Jan →
nuke13–60.0417%15 Jan →
ancient13–80.0218%28 Dec →
mirage4–13-0.054%28 Dec →
inferno13–6-0.0121%28 Dec →
nuke8–13-0.1015%25 Dec →
inferno9–13-0.024%25 Dec →
dust26–130.0322%25 Dec →
mirage13–110.0117%13 Nov →
nuke13–110.039%12 Nov →
inferno13–00.1525%12 Nov →
anubis13–60.059%10 Nov →
nuke8–13-0.0316%9 Nov →
inferno13–10.047%9 Nov →
nuke13–11-0.0523%4 Nov →
inferno2–0-0.050%4 Nov →
nuke13–1-0.0325%4 Nov →
nuke13–60.1218%31 Oct →
inferno14–160.0915%30 Oct →
nuke13–10.1715%30 Oct →
ancient3–130.0767%29 Oct →
ancient13–70.0518%28 Oct →
mirage5–130.0410%4 Sept →
nuke13–80.1222%4 Sept →
inferno6–130.0318%23 Jul →
dust29–13-0.0727%7 Jul →
mirage4–70.0730%3 Jul →
inferno9–13-0.0720%1 Jul →
dust27–13-0.0324%1 Jul →
nuke13–6-0.0214%1 Jul →
inferno5–13-0.117%8 Jun →
inferno13–4-0.0114%1 Jun →
mirage13–50.0118%14 Apr →
ancient4–130.1936%5 Apr →
mirage13–110.0115%1 Apr →
overpass13–70.0510%26 Mar →
nuke13–11-0.058%26 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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