teki

teki — CS2 Stats

NL76561198068278323[U:1:108012595]Steam profile ↗✓ No bans

455Tracked matches57%Win rate2020Tracked since
CSDB Rating6.7 SolidClutch Specialist
Premier CS Rating18,600Purple band · top ~14.1% of ranked players (population est.)
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 455 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,600 +1,006 7 Feb – 19 Sept · 4 days played
16,55118,600peak 18,6007 Feb19 Sept
18,723Peak Premier in tracked matches
46Days played since 2024-02-07

Premier CS Rating

  • At peak — 18,600
  • 0 over 90 days
  • Next: Pink band at 20,000 — 1,400 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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

Share this profile

CSDB.GGtekiPREMIER18,600 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning61
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLLWLWLWWWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −1.8pp headshot accuracy · −37ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 510ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 456ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 475ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1 against its own average).

Aim8.3
Utility5.7
Positioning6.1
Opening Duels5.1
Clutch7.0

Reliable in 1v1s

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

m0NESY

Plays most like m0NESY 97% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.3
Positioning6.1
Utility5.7
Mechanics6.7
Opening Duels4.5
Win Impact7.2

Composite 6.7/10 (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 rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time483ms−16ms
first ⅓ avg 499ms → last ⅓ avg 483ms
Headshot accuracy18.3%+1.0%
first ⅓ avg 17.4% → last ⅓ avg 18.3%

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

0.17Best match rating · 13–6 · nuke, 26 Apr →
54%Best headshot accuracy · 1–13 · mirage, 6 Jul →
320msFastest reaction time · 12–5 · ancient, 16 May →
13–0Biggest win · overpass, 20 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
8–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 63% over 16infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
anubisB2312–1152%-0.00
ancientB2211–1150%-0.01
overpassA1610–663%0.00
dust2A159–660%0.00
mirageD113–827%-0.01
infernoD61–517%-0.02
nuke—42–250%0.06
cache—21–150%-0.00
train—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

486Matches
52%Win rate
1.02Avg K/D
72.0ADR
41%Headshot %

Clutches & streaks

55%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis3259%1.1214.7
Ancient3148%0.9714.8
Overpass1776%1.0715.5
Inferno1136%0.8814.8
Mirage540%1.0213.8
Dust2367%1.2116.3
Cache250%0.9414.5
Nuke1100%3.1422.0

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.

18.8%Headshot accuracy
35.9%Accuracy (enemy spotted)
40.6%Spray accuracy
80.1%Counter-strafing
8.7°Preaim
508msReaction time
42.2%T opening success
53.9%CT opening success
0.51Enemies flashed / flash
7.3%Flash assists
9.49HE damage / grenade
14.41Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache15–19-0.0419%30 Jul →
dust29–130.0229%10 Jun →
dust213–7-0.0020%10 Jun →
mirage5–130.0612%8 Jun →
dust213–70.0413%8 Jun →
mirage0–5-0.030%8 Jun →
overpass13–50.1019%8 Jun →
cache13–60.0316%30 May →
ancient13–50.0932%30 May →
dust211–13-0.0220%30 May →
nuke9–130.0122%30 May →
dust210–13-0.0114%27 May →
ancient13–5-0.0121%27 May →
anubis13–30.0716%19 May →
dust213–80.0934%19 May →
anubis9–13-0.0323%16 May →
nuke11–13-0.0114%16 May →
ancient12–50.0219%16 May →
anubis13–40.0018%29 Apr →
nuke13–60.1717%26 Apr →
dust213–20.1024%26 Apr →
overpass13–9-0.0212%25 Apr →
mirage13–60.0218%25 Apr →
inferno17–190.0119%22 Apr →
anubis13–50.0129%22 Apr →
dust210–13-0.0115%22 Apr →
ancient3–13-0.0710%8 Apr →
anubis13–30.0225%8 Apr →
mirage13–16-0.0523%6 Apr →
anubis22–20-0.0210%6 Apr →
overpass13–7-0.0018%6 Apr →
anubis11–13-0.0410%6 Apr →
anubis16–120.0417%6 Apr →
overpass13–100.0118%6 Apr →
dust25–13-0.1217%6 Apr →
dust28–130.0226%4 Apr →
anubis2–13-0.0712%4 Apr →
anubis10–13-0.0610%2 Apr →
ancient6–130.0218%2 Apr →
anubis13–8-0.0118%1 Apr →
mirage13–40.0725%31 Mar →
overpass8–13-0.0414%31 Mar →
mirage5–13-0.067%31 Mar →
ancient7–13-0.125%30 Mar →
overpass8–130.0125%30 Mar →
dust213–7-0.0326%30 Mar →
dust216–140.0018%30 Mar →
mirage10–13-0.0121%28 Feb →
inferno10–13-0.0111%28 Feb →
ancient2–13-0.0321%6 Jul →
mirage1–13-0.0454%6 Jul →
dust213–80.0119%8 May →
ancient13–30.0219%21 Jan →
anubis7–13-0.0020%13 Jan →
dust213–2-0.057%13 Dec →
train11–13-0.0111%13 Dec →
anubis10–13-0.0315%3 Aug →
anubis6–13-0.0815%18 May →
ancient6–130.039%18 May →
ancient13–70.0532%15 May →
anubis13–50.0617%15 May →
ancient13–80.0116%7 May →
dust213–11-0.0126%26 Apr →
anubis7–13-0.0226%26 Apr →
ancient13–8-0.0527%23 Apr →
ancient13–40.0031%23 Apr →
inferno11–13-0.0514%22 Apr →
overpass13–110.0516%22 Apr →
ancient8–13-0.0614%17 Apr →
anubis4–13-0.050%16 Apr →
overpass10–13-0.0215%16 Apr →
overpass13–70.1022%9 Apr →
inferno7–13-0.0215%9 Apr →
nuke13–50.0924%3 Apr →
overpass13–11-0.0216%3 Apr →
anubis6–13-0.0435%2 Apr →
inferno13–110.0013%2 Apr →
ancient14–16-0.058%28 Feb →
ancient7–13-0.024%28 Feb →
anubis13–30.0815%27 Feb →
anubis13–30.1123%27 Feb →
overpass9–13-0.089%27 Feb →
anubis16–14-0.0313%21 Feb →
ancient16–130.0218%20 Feb →
overpass13–00.0717%20 Feb →
ancient7–13-0.0413%19 Feb →
ancient16–190.0214%19 Feb →
overpass13–10-0.0035%18 Feb →
anubis11–130.0122%18 Feb →
mirage9–13-0.0519%18 Feb →
inferno6–13-0.0819%18 Feb →
ancient9–13-0.0526%14 Feb →
overpass13–30.0421%14 Feb →
mirage7–13-0.0228%14 Feb →
anubis19–17-0.0224%13 Feb →
ancient13–100.0011%13 Feb →
ancient13–3-0.0424%13 Feb →
overpass5–13-0.055%8 Feb →
mirage13–80.0421%7 Feb →
overpass7–13-0.1216%7 Feb →

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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