teef

teef — CS2 Stats

AE76561199029595235[U:1:1069329507]Steam profile ↗✓ No bans

968Tracked matches54%Win rate2021Tracked since
1,394Hours in CS7Hrs last 2 wks
CSDB Rating5.8 SolidSupport
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 968
−7.1ppWin rate · 60.7% → 53.6%

Rating over time

48Days played since 2026-03-19

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches69−3
Win rate17%44%−28pp
K/D0.681.14−0.46
Headshot %55%51%+4pp

Measured 24 Sep 2026 → 1 Oct 2026; previous 15 Sep 2026 → 24 Sep 2026.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches15——
Win rate33%——
K/D0.99——
Headshot %52%——

Measured 1 Sep 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim67
Positioning57
Utility61

0–100 skill scores via Leetify.

Recent form

COLD44–48–8Last 10044%Win rateLLLWLLTWLW

Last 10 vs previous 10: −40pp win rate · −0.06 avg rating · +1.2pp headshot accuracy · −8ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 553ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 559ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 563ms

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 (+1.7 against its own average).

Aim6.7
Utility6.1
Positioning5.7
Opening Duels3.7
Clutch2.2

Effective flashes

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

jL

Plays most like jL 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 578ms 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

Aim6.7
Positioning5.7
Utility6.1
Mechanics5.7
Opening Duels2.8
Win Impact6.2

Composite 5.8/10 (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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time578ms−34ms
first ⅓ avg 611ms → last ⅓ avg 578ms
Headshot accuracy21.8%+0.1%
first ⅓ avg 21.7% → last ⅓ avg 21.8%

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

0.15Best match rating · 13–0 · dust2, 28 Aug →
60%Best headshot accuracy · 13–0 · nuke, 10 Apr →
406msFastest reaction time · 4–13 · dust2, 22 Apr →
13–0Biggest win · dust2, 28 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
5–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 67% over 15mirageWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
mirageD216–1529%-0.01
dust2S1510–567%0.02
nukeC146–843%-0.00
ancientA127–558%-0.02
infernoD93–633%-0.04
anubisB84–450%0.01
cacheB84–450%0.03
office—30–30%0.04
train—20–20%-0.03
warden—20–20%0.00
boulder—10–10%0.02
fachwerk—11–0100%0.01
shelter—11–0100%0.00
vertigo—11–0100%0.07
italy—10–10%0.04
overpass—11–0100%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,303Lifetime kills
1.60K/D · Top 5% of tracked players
2,227Matches
49.6%Match win rate · Top 25% of tracked players
56.8%Headshot % · Top 10% of tracked players
15.3%Shot accuracy · Top 50% of tracked players
4,257MVPs
704Hours (in match)
1,476Bombs planted
655Bombs defused

Most-used weapons

Lifetime map wins

2,423dust2
1,684inferno
1,565nuke
839train
740vertigo
582office
34lake
21cbble

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

Faceit stats

Combat

67Matches
66%Win rate
1.11Avg K/D
79.9ADR
46%Headshot %

Clutches & streaks

31%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis2370%1.2616.8
Mirage1560%1.0113.6
Ancient1369%0.9314.2
Nuke771%1.2314.9
Inferno450%0.9014.0
Dust2367%1.5821.0
Train1100%0.7414.0
Vertigo10%0.233.0

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.

20.5%Headshot accuracy
34.1%Accuracy (enemy spotted)
34.4%Spray accuracy
75.8%Counter-strafing
10.3°Preaim
578msReaction time
34.9%T opening success
47.5%CT opening success
0.72Enemies flashed / flash
7.6%Flash assists
10.14HE damage / grenade
9.30Flashes / 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 34.8868% — below the 40% mark we flag

Spend your practice time on Mirage

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 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0621%26 Sept →
mirage6–7-0.0927%26 Sept →
anubis6–13-0.0623%26 Sept →
dust213–90.0324%26 Sept →
nuke7–130.0122%26 Sept →
mirage8–13-0.0329%23 Sept →
train12–12-0.0511%19 Sept →
mirage13–9-0.0338%19 Sept →
boulder5–130.029%19 Sept →
nuke13–6-0.0226%15 Sept →
ancient13–5-0.0118%15 Sept →
cache1–6-0.0044%3 Sept →
dust213–00.1528%28 Aug →
cache13–10.1312%27 Aug →
nuke1–13-0.0517%23 Aug →
ancient13–80.0213%23 Aug →
dust213–90.1326%23 Aug →
fachwerk13–50.0117%22 Aug →
cache11–13-0.0128%21 Aug →
ancient13–9-0.0017%20 Aug →
dust213–110.0313%19 Aug →
inferno5–13-0.0426%19 Aug →
office6–13-0.0310%14 Aug →
inferno5–13-0.0427%13 Aug →
nuke13–7-0.0116%13 Aug →
nuke12–120.0522%4 Aug →
inferno13–110.0317%4 Aug →
shelter10–80.0015%4 Aug →
ancient16–130.0117%6 Jul →
nuke6–130.0223%5 Jul →
ancient13–4-0.0421%5 Jul →
dust213–90.0331%5 Jul →
mirage3–13-0.0231%5 Jul →
mirage10–13-0.0519%3 Jul →
cache13–90.0320%3 Jul →
anubis9–130.0810%29 Jun →
mirage13–30.0321%29 Jun →
mirage13–50.0631%24 Jun →
cache2–13-0.0316%22 Jun →
ancient13–100.0215%22 Jun →
dust212–12-0.0136%18 Jun →
mirage13–10-0.019%18 Jun →
mirage1–6-0.1340%15 Jun →
anubis13–30.0121%2 Jun →
mirage4–130.0625%2 Jun →
dust213–110.0316%2 Jun →
anubis7–130.0918%2 Jun →
train6–13-0.0024%26 May →
mirage13–70.0219%10 May →
cache8–13-0.0130%9 May →
cache13–110.0421%8 May →
dust213–40.1429%8 May →
mirage11–130.0111%8 May →
anubis13–50.0114%8 May →
office12–120.0418%8 May →
cache13–80.0523%30 Apr →
nuke11–13-0.0127%28 Apr →
dust213–6-0.0115%28 Apr →
ancient4–13-0.0611%28 Apr →
inferno4–13-0.0523%25 Apr →
vertigo13–60.0713%25 Apr →
dust22–13-0.0611%24 Apr →
nuke10–13-0.0529%23 Apr →
dust213–80.0928%23 Apr →
dust24–13-0.145%22 Apr →
ancient8–13-0.0344%18 Apr →
inferno2–9-0.1633%17 Apr →
ancient13–5-0.0217%16 Apr →
dust28–13-0.0912%16 Apr →
anubis13–80.0815%16 Apr →
italy12–120.0421%16 Apr →
ancient8–130.0622%16 Apr →
mirage7–130.0924%16 Apr →
overpass13–80.0633%15 Apr →
inferno7–9-0.0821%11 Apr →
nuke9–60.0520%11 Apr →
nuke13–00.0360%10 Apr →
inferno13–10.0130%10 Apr →
mirage7–13-0.0114%8 Apr →
warden8–13-0.0315%8 Apr →
dust28–13-0.0311%8 Apr →
mirage4–13-0.0215%8 Apr →
mirage9–130.0521%7 Apr →
nuke13–9-0.0412%7 Apr →
nuke13–30.0313%7 Apr →
mirage13–80.0327%3 Apr →
warden12–120.0320%3 Apr →
anubis13–7-0.026%3 Apr →
inferno3–100.0133%3 Apr →
mirage12–12-0.0430%1 Apr →
anubis3–13-0.0819%29 Mar →
ancient5–13-0.1124%29 Mar →
inferno13–10-0.0418%29 Mar →
nuke7–13-0.0424%28 Mar →
mirage6–130.0124%28 Mar →
nuke8–13-0.0328%28 Mar →
dust26–10.0229%28 Mar →
mirage10–13-0.0214%27 Mar →
mirage7–13-0.0522%19 Mar →
office12–120.1123%19 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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