◯ | TENUx

◯ | TENUx — CS2 Stats

OM76561197997416605[U:1:37150877]Steam profile ↗✓ No bans

1,310Tracked matches64%Win rate2020Tracked since
2,970Hours in CS1Hrs last 2 wks
CSDB Rating6.5 SolidSupport
Premier CS Rating15,101Purple band · top ~28% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (18 days ago). 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: 15,101 -1,740 14 May – 18 Oct · 33 days played
12,51918,008peak 18,00814 May18 Oct
18,008Peak Premier in tracked matches
45Days played since 2026-05-14

Premier CS Rating

  • 2,907 below peak (18,008)
  • +1,730 over 30 days · improving
  • +2,436 over 90 days
  • Next: Pink band at 20,000 — 4,899 to go
  • Reached: Purple band · 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 Level 3 among CSDB-tracked players (n=10,505), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate42.0%41.8%42.7%meets
Shot accuracy13.1%12.2%11.2%above
Kill/death ratio0.930.980.990.06 short
Match win rate40.2%43.3%43.9%3.7% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG◯ | TENUxFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,101 · Purple 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

Aim67
Positioning59
Utility74

0–100 skill scores via Leetify.

Recent form

HOT48–46–6Last 10048%Win rateWWWTWWLWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −5.2pp headshot accuracy · −39ms 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 557ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 577ms

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 (+2.4 against its own average).

Aim6.7
Utility7.4
Positioning5.9
Opening Duels4.3
Clutch2.4

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

ZywOo

Plays most like ZywOo 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 611ms 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
Positioning5.9
Utility7.4
Mechanics5.5
Opening Duels4.3
Win Impact9.8

Composite 6.5/10 (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 time619ms−26ms
first ⅓ avg 644ms → last ⅓ avg 619ms
Headshot accuracy18.0%+0.3%
first ⅓ avg 17.7% → last ⅓ avg 18.0%

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

0.11Best match rating · 13–11 · cache, 20 May →
52%Best headshot accuracy · 13–11 · inferno, 12 Sept →
438msFastest reaction time · 13–11 · inferno, 19 Sept →
13–3Biggest win · nuke, 16 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
9–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 89% over 9cacheWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB2311–1248%0.00
nukeB209–1145%-0.01
cacheD134–931%-0.00
mirageC125–742%0.00
ancientB115–645%-0.03
anubisS98–189%0.00
dust2A74–357%-0.01
overpassC52–340%0.02

Across the last 100 tracked matches.

Lifetime stats

65,132Lifetime kills
0.93K/D
3,594Matches
40.2%Match win rate
42.0%Headshot % · Top 50% of Level 3 players
13.1%Shot accuracy · Top 50% of Level 3 players
6,203MVPs
1,646Hours (in match)
2,940Bombs planted
744Bombs defused

Most-used weapons

AK-4722,599
AWP5,347
P2502,006
MP91,937
FAMAS1,489

Lifetime map wins

7,496inferno
4,021dust2
3,298nuke
1,723train
927cbble
720vertigo
42office
29bank

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

Faceit stats

Combat

156Matches
48%Win rate
0.97Avg K/D
82.1ADR
42%Headshot %

Clutches & streaks

32%1v1 clutch win
4%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1155%1.3719.6
Nuke1070%1.0913.6
Dust2944%1.0614.7
Ancient838%1.1817.0
Anubis333%0.9215.7
Inferno333%0.7816.3
Overpass2100%1.4415.0
Vertigo2100%0.9012.0

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.

17.8%Headshot accuracy
36.1%Accuracy (enemy spotted)
39.9%Spray accuracy
74.8%Counter-strafing
10.0°Preaim
611msReaction time
54.5%T opening success
39.8%CT opening success
0.53Enemies flashed / flash
7.5%Flash assists
10.02HE damage / grenade
18.24Flashes / 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

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

    CT opening duels 39.8043% — below the 40% mark we flag

Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0416%18 Oct →
anubis13–5-0.0113%18 Oct →
dust213–100.0313%18 Oct →
nuke15–150.0216%10 Oct →
nuke8–10.0517%10 Oct →
anubis13–110.0421%10 Oct →
nuke5–13-0.0313%10 Oct →
anubis11–40.0511%10 Oct →
dust22–7-0.1025%10 Oct →
inferno13–11-0.0223%19 Sept →
nuke13–10-0.039%19 Sept →
nuke13–8-0.049%19 Sept →
cache7–130.0025%18 Sept →
mirage5–13-0.0718%18 Sept →
cache13–5-0.0123%16 Sept →
nuke13–70.1032%16 Sept →
ancient13–40.0315%12 Sept →
inferno13–110.0152%12 Sept →
cache11–13-0.0714%29 Aug →
nuke10–130.0324%29 Aug →
cache15–15-0.0610%27 Aug →
inferno13–50.0520%27 Aug →
nuke13–8-0.0513%27 Aug →
inferno13–80.0517%15 Aug →
ancient6–13-0.0411%12 Aug →
inferno7–13-0.0614%12 Aug →
mirage13–40.028%12 Aug →
mirage6–130.0525%6 Aug →
anubis13–4-0.0320%3 Aug →
dust214–160.0412%2 Aug →
mirage13–50.0819%1 Aug →
mirage7–13-0.0520%1 Aug →
inferno16–130.0317%30 Jul →
ancient13–100.009%26 Jul →
inferno16–130.016%26 Jul →
nuke13–110.0522%26 Jul →
dust213–6-0.0029%26 Jul →
cache7–13-0.0114%25 Jul →
mirage4–13-0.1314%25 Jul →
mirage14–160.028%25 Jul →
ancient8–13-0.0119%25 Jul →
inferno13–100.0617%25 Jul →
inferno6–11-0.0516%25 Jul →
mirage14–16-0.0310%25 Jul →
dust210–13-0.0020%24 Jul →
mirage13–100.0015%24 Jul →
nuke3–10-0.084%19 Jul →
inferno13–70.0313%19 Jul →
cache13–50.0017%19 Jul →
inferno9–130.0115%18 Jul →
nuke11–13-0.0113%16 Jul →
inferno11–13-0.0513%16 Jul →
anubis11–13-0.0211%13 Jul →
anubis13–10-0.0516%11 Jul →
ancient13–9-0.0715%11 Jul →
inferno11–13-0.0022%11 Jul →
anubis13–9-0.0023%4 Jul →
nuke11–13-0.0211%4 Jul →
inferno13–6-0.0033%4 Jul →
mirage5–130.0212%2 Jul →
overpass9–13-0.0116%2 Jul →
inferno10–13-0.0111%2 Jul →
inferno6–130.0613%22 Jun →
inferno8–13-0.0220%21 Jun →
ancient7–13-0.0310%21 Jun →
cache3–130.0319%16 Jun →
nuke5–13-0.0111%15 Jun →
cache12–120.0424%8 Jun →
cache6–13-0.0639%7 Jun →
nuke13–5-0.0230%5 Jun →
cache12–70.0425%4 Jun →
nuke13–11-0.019%3 Jun →
inferno11–130.0420%3 Jun →
overpass11–40.0522%3 Jun →
overpass13–60.0821%2 Jun →
cache7–130.0315%2 Jun →
cache11–13-0.0512%1 Jun →
ancient13–10-0.0513%1 Jun →
nuke15–150.0011%31 May →
overpass3–13-0.0225%31 May →
overpass15–150.0110%31 May →
ancient4–13-0.0719%31 May →
nuke15–15-0.0521%31 May →
ancient13–80.0517%31 May →
nuke12–16-0.0213%31 May →
inferno11–130.0220%26 May →
nuke2–13-0.0824%24 May →
anubis13–9-0.0218%22 May →
cache13–110.1117%20 May →
dust213–11-0.0214%20 May →
ancient5–13-0.067%20 May →
inferno4–13-0.0210%19 May →
mirage13–80.0514%17 May →
ancient6–13-0.0312%17 May →
mirage16–120.0722%16 May →
inferno16–14-0.0111%16 May →
nuke13–30.0925%16 May →
dust213–11-0.0312%14 May →
inferno13–6-0.0119%14 May →
inferno7–13-0.0413%14 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.