teck9

teck9 — CS2 Stats

LB76561198166725806[U:1:206460078]Steam profile ↗✓ No bans

193Tracked matches48%Win rate2021Tracked since
1,651Hours in CS12Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
Premier CS Rating12,570Blue band · top ~41.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+389Premier CS Rating · 12,181 → 12,570

Rating over time

Premier CS Rating: 12,570 +2,125 20 Jul – 15 Nov · 49 days played
7,96012,570peak 12,57020 Jul15 Nov
12,570Peak Premier in tracked matches
54Days played since 2026-07-20

Premier CS Rating

  • At peak — 12,570
  • +2,571 over 30 days · improving
  • +2,412 over 90 days
  • Next: Purple band at 15,000 — 2,430 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=23,968), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate39.1%42.0%44.4%5.3% short
Shot accuracy15.5%9.7%11.8%above
Kill/death ratio0.880.981.030.15 short
Match win rate43.7%43.8%45.3%1.5% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGteck9PREMIER12,570 · Blue bandcsdb.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

Aim66
Positioning43
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWWLWLWWLLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −2.3pp headshot accuracy · +46ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 681ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 670ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 647ms

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 (+1.3 against its own average).

Aim6.6
Utility5.3
Positioning4.3
Opening Duels2.0
Clutch4.6

Effective 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

Twistzz

Plays most like Twistzz 89% 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. 654ms 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

Aim6.6
Positioning4.3
Utility5.3
Mechanics6.5
Opening Duels2.9
Win Impact4.4

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time651ms−43ms
first ⅓ avg 694ms → last ⅓ avg 651ms
Headshot accuracy13.3%−0.6%
first ⅓ avg 13.9% → last ⅓ avg 13.3%

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

0.18Best match rating · 13–5 · cache, 21 Oct →
32%Best headshot accuracy · 13–1 · inferno, 30 Aug →
438msFastest reaction time · 11–13 · cache, 24 Sept →
13–1Biggest win · dust2, 30 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
8–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 58% over 36ancientWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A3621–1558%-0.02
mirageB178–947%-0.01
cacheB179–853%-0.00
ancientD143–1121%-0.00
infernoC94–544%-0.00
nuke—32–167%0.01
anubis—30–30%-0.08
boulder—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,878Lifetime kills
0.88K/D
1,630Matches
43.7%Match win rate
39.1%Headshot %
15.5%Shot accuracy · Top 25% of Blue band
3,326MVPs
747Hours (in match)
2,792Bombs planted
362Bombs defused

Most-used weapons

AK-477,174
AWP3,065
P902,077
AUG1,638
MP71,045

Lifetime map wins

8,637dust2
3,467inferno
285nuke
51lake
27office
26aztec
24stmarc
23safehouse

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

Faceit stats

Combat

18Matches
39%Win rate
0.83Avg K/D
65.8ADR
47%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2838%0.8711.0
Cache540%0.8918.2
Ancient450%0.7311.8
Mirage10%0.6710.0

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.

14.0%Headshot accuracy
37.1%Accuracy (enemy spotted)
40.8%Spray accuracy
79.4%Counter-strafing
9.3°Preaim
654msReaction time
48.8%T opening success
34.6%CT opening success
0.71Enemies flashed / flash
8.2%Flash assists
10.19HE damage / grenade
3.84Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.0177% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8436 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.5549% — below the 40% mark we flag

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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–110.0314%15 Nov →
mirage13–110.0813%15 Nov →
mirage10–13-0.1014%14 Nov →
dust213–11-0.0410%11 Nov →
ancient2–13-0.0814%10 Nov →
dust216–130.0117%10 Nov →
dust213–30.078%9 Nov →
ancient11–130.0714%3 Nov →
inferno5–13-0.0814%2 Nov →
mirage13–6-0.075%2 Nov →
dust213–8-0.0218%1 Nov →
boulder6–13-0.0110%31 Oct →
ancient13–90.0520%31 Oct →
dust28–130.0430%28 Oct →
ancient4–130.097%27 Oct →
nuke13–110.0019%27 Oct →
inferno5–13-0.1014%21 Oct →
cache13–50.188%21 Oct →
anubis7–13-0.0813%20 Oct →
mirage6–13-0.056%20 Oct →
mirage15–150.0116%19 Oct →
dust213–90.0525%19 Oct →
dust27–13-0.027%9 Oct →
inferno13–50.0612%6 Oct →
mirage13–70.0510%6 Oct →
mirage9–130.0515%5 Oct →
dust211–130.009%2 Oct →
cache9–130.0212%30 Sept →
cache5–13-0.0613%30 Sept →
dust213–90.0224%25 Sept →
dust211–13-0.057%25 Sept →
ancient9–13-0.0714%24 Sept →
dust213–7-0.046%24 Sept →
cache11–13-0.0811%24 Sept →
anubis11–13-0.055%24 Sept →
dust213–11-0.0212%24 Sept →
dust210–13-0.0123%23 Sept →
anubis0–9-0.110%23 Sept →
cache13–60.0124%23 Sept →
inferno13–70.0421%23 Sept →
dust28–13-0.0817%23 Sept →
mirage13–100.0615%21 Sept →
cache14–16-0.0110%16 Sept →
dust213–11-0.068%16 Sept →
dust213–8-0.0421%16 Sept →
ancient13–16-0.0214%9 Sept →
dust213–100.0218%9 Sept →
cache6–130.0311%8 Sept →
dust211–13-0.0617%8 Sept →
inferno10–130.0224%6 Sept →
ancient6–130.0219%5 Sept →
mirage3–130.028%4 Sept →
ancient6–13-0.117%4 Sept →
dust212–120.0419%3 Sept →
dust26–13-0.0621%3 Sept →
cache13–9-0.0116%3 Sept →
dust26–13-0.0415%1 Sept →
dust213–2-0.0222%1 Sept →
ancient10–130.0112%1 Sept →
cache4–13-0.0312%30 Aug →
dust213–10.0729%30 Aug →
cache13–8-0.0317%30 Aug →
inferno13–10.0932%30 Aug →
mirage13–80.1021%29 Aug →
cache13–16-0.0114%27 Aug →
cache13–50.0223%27 Aug →
dust213–4-0.095%27 Aug →
ancient13–30.0013%27 Aug →
nuke10–130.0018%25 Aug →
inferno16–140.0412%25 Aug →
inferno6–13-0.0012%24 Aug →
mirage13–10.0618%23 Aug →
dust216–130.0419%21 Aug →
cache13–7-0.0611%20 Aug →
dust28–13-0.0316%19 Aug →
dust216–130.0512%19 Aug →
dust213–5-0.0516%19 Aug →
ancient10–130.0221%19 Aug →
mirage0–13-0.0721%19 Aug →
cache9–130.0320%16 Aug →
ancient5–13-0.0513%16 Aug →
mirage8–13-0.0518%16 Aug →
dust27–13-0.0422%15 Aug →
dust22–13-0.1010%6 Aug →
cache16–14-0.0316%6 Aug →
cache12–6-0.0311%3 Aug →
dust213–7-0.046%3 Aug →
ancient13–90.0114%2 Aug →
mirage13–6-0.0711%1 Aug →
mirage13–4-0.0222%31 Jul →
mirage9–13-0.069%28 Jul →
dust21–13-0.0529%28 Jul →
inferno8–13-0.094%26 Jul →
dust213–2-0.030%25 Jul →
dust213–4-0.043%23 Jul →
cache13–50.042%22 Jul →
dust211–00.0424%22 Jul →
dust211–13-0.0512%22 Jul →
mirage6–13-0.0416%21 Jul →
ancient11–13-0.0110%20 Jul →

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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