Tenicron (9 cigarettes left)

Tenicron (9 cigarettes left) — CS2 Stats

FR76561198063294713[U:1:103028985]Steam profile ↗✓ No bans

218Tracked matches56%Win rate2023Tracked since
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 4,532 -759 2 Apr – 25 May · 12 days played
4,0005,476peak 5,4762 Apr25 May
5,805Peak Premier in tracked matches
18Days played since 2025-04-02

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

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CSDB.GGTenicron (9 cigarettes le…FACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning42
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateLWWLWTWLLT

Last 10 vs previous 10: −30pp win rate · −0.00 avg rating · +4.9pp headshot accuracy · −80ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 647ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 639ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 679ms

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 (+2.2 against its own average).

Aim6.0
Utility2.4
Positioning4.2
Opening Duels1.5
Clutch0.0

Excellent counter-strafing

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

donk

Plays most like donk 96% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Strengths

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 679ms 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

Aim6.0
Positioning4.2
Utility2.4
Mechanics9.0
Opening Duels1.1
Win Impact6.9

Composite 5.2/10 (Developing), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time682ms+9ms
first ⅓ avg 673ms → last ⅓ avg 682ms
Headshot accuracy20.9%+2.7%
first ⅓ avg 18.2% → last ⅓ avg 20.9%

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

0.15Best match rating · 13–0 · mirage, 2 Apr →
45%Best headshot accuracy · 7–13 · train, 25 May →
453msFastest reaction time · 3–13 · anubis, 6 Apr →
13–0Biggest win · mirage, 17 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–11In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 60% over 10nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%-0.01
dust2B168–850%-0.01
ancientA148–657%-0.01
anubisB115–645%-0.03
nukeD103–730%-0.04
trainA106–460%-0.01
infernoB105–550%-0.03
edin—32–167%-0.02
basalt—11–0100%-0.06
overpass—10–10%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches
46%Win rate
0.86Avg K/D
58.8ADR
43%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%0.507.5
Anubis1100%0.6813.0
Ancient1100%1.3316.0

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.

20.6%Headshot accuracy
31.2%Accuracy (enemy spotted)
33.4%Spray accuracy
90.7%Counter-strafing
11.4°Preaim
679msReaction time
34.2%T opening success
34.5%CT opening success
0.60Enemies flashed / flash
9.8%Flash assists
7.91HE damage / grenade
11.33Flashes / 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 34.2158% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0031%19 Jan →
nuke13–11-0.0020%19 Jan →
ancient13–7-0.0413%19 Jan →
train7–130.0145%25 May →
dust213–7-0.0622%25 May →
nuke15–15-0.0420%25 May →
inferno13–110.0723%28 Apr →
inferno11–13-0.0222%28 Apr →
inferno4–13-0.0414%19 Apr →
ancient12–12-0.0617%19 Apr →
ancient13–7-0.0218%18 Apr →
ancient5–13-0.0325%18 Apr →
mirage13–50.0316%18 Apr →
mirage13–80.0623%18 Apr →
dust21–13-0.0315%18 Apr →
inferno13–3-0.0515%17 Apr →
ancient13–9-0.0414%17 Apr →
inferno13–11-0.0321%17 Apr →
mirage13–80.0114%17 Apr →
mirage11–13-0.0119%17 Apr →
nuke4–13-0.0521%17 Apr →
mirage13–0-0.0324%17 Apr →
mirage13–160.1218%17 Apr →
ancient13–30.1038%17 Apr →
dust211–130.0123%17 Apr →
mirage13–5-0.0324%17 Apr →
mirage12–12-0.0320%17 Apr →
nuke11–13-0.0426%17 Apr →
train13–20.0413%17 Apr →
anubis11–130.008%17 Apr →
dust213–9-0.0319%16 Apr →
mirage13–10-0.0523%16 Apr →
anubis13–7-0.0626%16 Apr →
nuke11–13-0.0324%15 Apr →
dust212–120.0128%15 Apr →
ancient13–10-0.0221%15 Apr →
anubis2–130.0214%15 Apr →
inferno2–13-0.0719%15 Apr →
dust211–13-0.0320%15 Apr →
anubis13–160.0226%15 Apr →
mirage13–50.0010%15 Apr →
ancient13–90.0630%15 Apr →
train13–7-0.0420%15 Apr →
ancient12–12-0.0518%15 Apr →
basalt13–9-0.0625%14 Apr →
mirage12–12-0.0815%14 Apr →
train7–13-0.0113%14 Apr →
nuke13–6-0.0123%14 Apr →
nuke2–8-0.0535%14 Apr →
mirage8–13-0.0110%14 Apr →
dust213–90.0320%13 Apr →
inferno13–7-0.0116%13 Apr →
anubis13–3-0.0613%13 Apr →
nuke12–12-0.0418%13 Apr →
dust213–10-0.0521%13 Apr →
dust213–11-0.0321%11 Apr →
mirage11–130.0120%10 Apr →
dust210–13-0.0315%10 Apr →
anubis10–13-0.0420%10 Apr →
ancient13–90.0429%10 Apr →
edin11–130.0113%10 Apr →
train12–12-0.0319%10 Apr →
mirage13–10-0.0121%10 Apr →
ancient13–10-0.0518%10 Apr →
anubis13–70.0226%9 Apr →
dust213–7-0.0614%9 Apr →
dust211–13-0.0317%9 Apr →
inferno13–5-0.0121%9 Apr →
mirage10–13-0.0311%9 Apr →
inferno4–13-0.075%8 Apr →
nuke13–7-0.0631%8 Apr →
ancient13–16-0.0616%8 Apr →
mirage2–13-0.085%7 Apr →
dust25–130.0424%7 Apr →
anubis13–7-0.0310%7 Apr →
train13–8-0.0313%6 Apr →
edin13–8-0.0322%6 Apr →
anubis2–13-0.0724%6 Apr →
dust213–50.0116%6 Apr →
overpass9–13-0.0427%6 Apr →
nuke0–13-0.0412%6 Apr →
anubis13–30.0113%6 Apr →
anubis3–13-0.0914%6 Apr →
mirage13–7-0.0613%6 Apr →
mirage5–13-0.1229%6 Apr →
mirage13–10-0.069%6 Apr →
edin13–7-0.0513%6 Apr →
mirage12–12-0.038%6 Apr →
ancient2–13-0.0215%6 Apr →
train13–8-0.0120%5 Apr →
train11–13-0.0321%5 Apr →
train13–50.0611%2 Apr →
dust210–13-0.0420%2 Apr →
inferno3–13-0.0429%2 Apr →
mirage4–13-0.0417%2 Apr →
train13–10-0.0621%2 Apr →
ancient9–130.0924%2 Apr →
mirage13–110.0930%2 Apr →
mirage13–00.1530%2 Apr →
dust213–10.0427%2 Apr →

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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