tefloN

tefloN — CS2 Stats

76561199137211072[U:1:1176945344]Steam profile ↗✓ No bans

2,850Tracked matches57%Win rate2021Tracked since
CSDB Rating7.1 StrongAll-Rounder
Premier CS Rating27,763Top 5% of 203,724 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#2959 of 250891 tracked
FaceitLevel 10 · 3,001 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 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: 27,763 -511 31 Aug – 7 Oct · 22 days played
23,89628,391peak 28,39131 Aug7 Oct
Faceit ELO: 3,001 +0 31 Aug – 19 Sept · 4 observations
3,0013,001peak 3,00131 Aug19 Sept
28,391Peak Premier in tracked matches
3,001Highest Faceit ELO seen on CSDB
22Days played since 2026-08-31

Faceit ELO

  • At peak — 3,001
  • Next: 3,500 ELO at 3,500 — 499 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-31
  • 2,500 ELO first seen 2026-08-31

Premier CS Rating

  • 628 below peak (28,391)
  • +767 over 30 days · improving
  • Next: Gold band at 30,000 — 2,237 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-31
  • Pink band first seen 2026-08-31

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.GGtefloNFACEITLevel 10 · 3,001 ELOSTANDINGTop 12.4% of rankedPREMIER27,763 · Red bandPEAK ELO3,001csdb.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

Aim90
Positioning54
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWLLWWLWLWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +2.1pp headshot accuracy · −97ms 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 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 462ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 536ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 584ms

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.

Aim9.0
Utility5.3
Positioning5.4
Opening Duels3.8
Clutch4.0

Sharp aimerEffective flashesLimited 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

iM

Plays most like iM 92% playstyle similarity

Most alike: aim profile, utility contribution.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 52% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0
Positioning5.4
Utility5.3
Mechanics7.6
Opening Duels2.9
Win Impact7.4

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time578ms−48ms
first ⅓ avg 626ms → last ⅓ avg 578ms
Headshot accuracy26.3%−4.6%
first ⅓ avg 30.8% → last ⅓ avg 26.3%

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 · 2–8 · nuke, 7 Sept →
100%Best headshot accuracy · 8–3 · dust2, 21 Sept →
336msFastest reaction time · 3–13 · inferno, 2 Oct →
13–0Biggest win · nuke, 6 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 73% over 15infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2714–1352%-0.01
mirageB2111–1052%-0.03
cacheS1511–473%0.00
nukeC114–736%0.01
ancientA95–456%0.02
infernoD72–529%-0.01
anubisA53–260%0.02
fachwerk—21–150%0.04
boulder—22–0100%0.05
train—11–0100%0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,568Matches
58%Win rate
1.31Avg K/D
90.3ADR
37%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
16Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient19556%1.3118.9
Dust217361%1.4419.5
Anubis9758%1.2316.5
Nuke5056%1.2217.1
Mirage4665%1.4319.7
Inferno4678%1.5518.6
Cache4450%1.3719.4
Overpass3861%1.2118.3

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.

24.2%Headshot accuracy
38.7%Accuracy (enemy spotted)
38.6%Spray accuracy
84.3%Counter-strafing
7.7°Preaim
559msReaction time
31.9%T opening success
51.6%CT opening success
0.73Enemies flashed / flash
10.1%Flash assists
11.70HE damage / grenade
4.41Flashes / 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 31.8721% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.1023%7 Oct →
mirage9–130.0315%7 Oct →
inferno7–130.0230%7 Oct →
mirage13–70.1112%7 Oct →
cache13–100.0018%7 Oct →
mirage10–13-0.0613%6 Oct →
cache13–100.0528%6 Oct →
cache3–13-0.0520%6 Oct →
nuke13–00.0167%6 Oct →
mirage13–11-0.0425%6 Oct →
dust213–70.0124%6 Oct →
dust20–13-0.0233%6 Oct →
dust23–13-0.0438%5 Oct →
ancient15–15-0.0122%5 Oct →
mirage13–8-0.0522%5 Oct →
mirage15–150.0020%5 Oct →
nuke6–30.009%5 Oct →
dust212–160.0318%4 Oct →
dust216–12-0.0013%4 Oct →
cache13–00.0332%4 Oct →
anubis6–13-0.0821%4 Oct →
dust213–70.1117%4 Oct →
dust213–0-0.0424%4 Oct →
cache13–3-0.0132%4 Oct →
inferno10–130.0019%4 Oct →
nuke0–6-0.0283%4 Oct →
nuke4–13-0.0814%4 Oct →
cache13–40.0750%3 Oct →
cache16–130.0229%3 Oct →
dust28–13-0.0223%3 Oct →
dust27–50.0427%3 Oct →
mirage1–13-0.0814%3 Oct →
cache13–70.0730%3 Oct →
mirage13–8-0.0117%3 Oct →
mirage13–4-0.0220%2 Oct →
dust21–13-0.0433%2 Oct →
inferno3–13-0.0622%2 Oct →
cache13–110.0111%1 Oct →
dust211–13-0.0216%1 Oct →
ancient13–30.0828%1 Oct →
cache13–100.0419%1 Oct →
ancient13–80.0119%1 Oct →
ancient13–2-0.0140%30 Sept →
inferno10–130.0236%29 Sept →
dust28–130.0116%29 Sept →
mirage13–20.0550%29 Sept →
dust213–80.0419%28 Sept →
inferno3–13-0.0420%28 Sept →
mirage13–11-0.0620%28 Sept →
dust213–100.0115%27 Sept →
dust213–60.0332%27 Sept →
mirage2–13-0.0827%27 Sept →
nuke5–130.0518%27 Sept →
dust213–50.1919%27 Sept →
cache0–13-0.1280%25 Sept →
nuke11–130.0917%25 Sept →
anubis13–40.0611%25 Sept →
mirage13–100.0314%24 Sept →
inferno13–30.0325%23 Sept →
cache13–100.0614%23 Sept →
nuke13–4-0.0428%22 Sept →
dust28–3-0.07100%21 Sept →
cache1–13-0.0288%21 Sept →
mirage9–120.0148%21 Sept →
anubis0–4-0.0217%21 Sept →
mirage7–13-0.0533%21 Sept →
dust20–20.000%21 Sept →
dust21–13-0.0720%21 Sept →
nuke13–20.0140%21 Sept →
dust21–13-0.1250%20 Sept →
dust21–13-0.0817%20 Sept →
mirage13–9-0.0747%20 Sept →
ancient0–13-0.0433%20 Sept →
anubis13–70.0233%20 Sept →
mirage13–20.0720%20 Sept →
ancient16–14-0.0420%20 Sept →
mirage10–13-0.0329%20 Sept →
dust213–00.0267%20 Sept →
ancient5–130.0150%20 Sept →
nuke2–11-0.1114%20 Sept →
cache4–13-0.0922%20 Sept →
fachwerk3–130.0252%18 Sept →
fachwerk13–90.0624%17 Sept →
boulder13–100.1027%17 Sept →
dust213–10-0.1043%17 Sept →
dust213–5-0.0929%17 Sept →
mirage6–13-0.1143%17 Sept →
inferno13–4-0.0517%7 Sept →
mirage13–3-0.138%7 Sept →
ancient13–20.0444%7 Sept →
ancient5–130.1150%7 Sept →
cache16–14-0.0220%7 Sept →
mirage3–13-0.0629%7 Sept →
nuke2–80.1928%7 Sept →
nuke4–7-0.0418%7 Sept →
dust213–9-0.067%6 Sept →
dust22–12-0.0236%6 Sept →
dust210–13-0.0725%6 Sept →
train13–100.1434%6 Sept →
boulder13–40.0120%5 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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