TerritoryEnjoyer

TerritoryEnjoyer — CS2 Stats

NE76561198135936027[U:1:175670299]Steam profile ↗✓ No bans

1,394Tracked matches57%Win rate2023Tracked since
1,231Hours in CS2Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
Premier CS Rating17,116Purple band · top ~20% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (14 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: 17,116 +1,997 1 Oct – 1 Nov · 15 days played
15,11518,394peak 18,3941 Oct1 Nov
18,767Peak Premier in tracked matches
24Days played since 2026-10-01

Premier CS Rating

  • 1,278 below peak (18,394)
  • +1,997 over 30 days · improving
  • Next: Pink band at 20,000 — 2,884 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 Purple band among CSDB-tracked players (n=42,517), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate49.7%44.4%46.9%above
Shot accuracy1.0%11.8%13.0%12.0% short
Kill/death ratio1.041.031.080.04 short
Match win rate48.6%45.3%46.7%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTerritoryEnjoyerPREMIER17,116 · 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

Aim80
Positioning61
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY60–36–4Last 10060%Win rateLWWWWLLWWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −1.1pp headshot accuracy · −52ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 627ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 564ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 590ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.0
Utility5.9
Positioning6.1
Opening Duels4.0
Clutch3.2

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 94% playstyle similarity

Most alike: opening-duel success, 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 48% on CT — first contacts on the defending side are being lost.

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

Aim8.0
Positioning6.1
Utility5.9
Mechanics8.0
Opening Duels6.9
Win Impact7.2

Composite 7.1/10 (Strong), 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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time579ms−4ms
first ⅓ avg 583ms → last ⅓ avg 579ms
Headshot accuracy20.4%+0.1%
first ⅓ avg 20.3% → last ⅓ avg 20.4%

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

0.12Best match rating · 13–5 · mirage, 13 Oct →
42%Best headshot accuracy · 13–3 · dust2, 16 Oct →
422msFastest reaction time · 13–7 · dust2, 15 Oct →
13–1Biggest win · dust2, 16 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–5In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 75% over 8cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A5535–2064%0.02
mirageB105–550%0.02
cacheC83–538%-0.00
ancientS86–275%0.01
nukeB84–450%-0.02
anubisC52–340%-0.01
inferno—43–175%0.01
overpass—22–0100%-0.04

Across the last 100 tracked matches.

Lifetime stats

32,443Lifetime kills
1.04K/D · Top 50% of Purple band
1,844Matches
48.6%Match win rate · Top 25% of Purple band
49.7%Headshot % · Top 50% of Purple band
1.0%Shot accuracy
4,255MVPs
685Hours (in match)
1,599Bombs planted
317Bombs defused

Most-used weapons

Lifetime map wins

10,632dust2
1,411inferno
712nuke
321vertigo
173train
95office
69italy
20cbble

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

Faceit stats

Combat

62Matches
61%Win rate
1.24Avg K/D
91.3ADR
49%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust22268%1.3117.0
Mirage1283%1.4417.3
Ancient1136%1.1818.2
Anubis838%1.0516.0
Inferno367%0.7114.7
Nuke367%1.4126.7
Cache250%0.8614.5
Overpass1100%1.3822.0

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.

19.7%Headshot accuracy
34.8%Accuracy (enemy spotted)
37.3%Spray accuracy
85.9%Counter-strafing
8.6°Preaim
578msReaction time
67.3%T opening success
48.2%CT opening success
0.58Enemies flashed / flash
10.6%Flash assists
4.60HE damage / grenade
14.38Flashes / match

Recommended for you

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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage10–130.0117%1 Nov →
dust213–9-0.0016%1 Nov →
dust213–90.0724%1 Nov →
dust213–90.0816%1 Nov →
mirage13–60.1021%1 Nov →
dust25–130.0725%31 Oct →
cache10–130.0422%31 Oct →
dust213–50.0221%31 Oct →
dust213–11-0.0418%30 Oct →
dust211–130.0216%30 Oct →
dust28–130.0422%29 Oct →
inferno10–130.0320%29 Oct →
dust213–70.0117%29 Oct →
dust213–90.0322%28 Oct →
dust213–20.0232%28 Oct →
dust213–11-0.0022%28 Oct →
dust210–130.0220%28 Oct →
cache5–130.0318%28 Oct →
cache13–50.0320%28 Oct →
anubis13–6-0.0116%28 Oct →
inferno13–9-0.0515%28 Oct →
mirage8–130.0022%28 Oct →
ancient13–100.0824%28 Oct →
dust213–2-0.0020%22 Oct →
dust213–40.0222%22 Oct →
mirage11–130.0116%22 Oct →
ancient12–30.0123%22 Oct →
anubis9–13-0.0611%22 Oct →
nuke4–13-0.0716%22 Oct →
nuke7–13-0.0226%22 Oct →
dust213–80.0526%22 Oct →
dust213–30.0727%22 Oct →
cache7–13-0.0623%21 Oct →
dust213–110.0518%21 Oct →
overpass13–5-0.0518%21 Oct →
ancient13–50.0014%19 Oct →
dust213–70.0721%19 Oct →
dust28–13-0.0224%18 Oct →
dust210–13-0.0232%17 Oct →
overpass13–8-0.0225%17 Oct →
dust25–13-0.0621%17 Oct →
dust213–110.0825%17 Oct →
dust22–130.0826%17 Oct →
cache9–13-0.0418%17 Oct →
nuke13–6-0.0010%17 Oct →
dust26–13-0.0516%17 Oct →
dust213–10-0.0222%16 Oct →
dust213–70.0325%16 Oct →
dust213–10.0321%16 Oct →
dust212–12-0.0016%16 Oct →
dust213–30.0442%16 Oct →
dust212–120.0920%15 Oct →
dust213–90.1121%15 Oct →
dust29–130.0313%15 Oct →
nuke13–10-0.0211%15 Oct →
dust213–70.0629%15 Oct →
dust213–60.0313%15 Oct →
dust213–50.0517%14 Oct →
dust213–90.0420%14 Oct →
dust213–90.0423%14 Oct →
dust29–130.0117%14 Oct →
mirage2–13-0.0120%14 Oct →
dust212–120.0115%13 Oct →
dust210–13-0.0420%13 Oct →
dust213–90.0519%13 Oct →
mirage13–50.0724%13 Oct →
mirage13–50.1217%13 Oct →
dust21–8-0.0312%13 Oct →
ancient13–110.0418%11 Oct →
mirage13–20.0510%11 Oct →
ancient5–13-0.0521%11 Oct →
inferno13–80.0121%11 Oct →
dust213–110.0322%10 Oct →
dust213–50.0822%10 Oct →
dust213–100.0217%10 Oct →
anubis5–130.0420%9 Oct →
anubis4–5-0.0212%9 Oct →
cache13–80.0520%9 Oct →
dust28–130.019%9 Oct →
dust27–13-0.0425%7 Oct →
dust212–12-0.0236%7 Oct →
inferno13–50.0319%6 Oct →
dust213–90.0328%6 Oct →
dust213–50.0324%6 Oct →
nuke13–11-0.0624%5 Oct →
nuke7–13-0.0213%5 Oct →
ancient13–9-0.0216%5 Oct →
mirage9–13-0.0731%4 Oct →
ancient11–13-0.0119%4 Oct →
mirage13–11-0.0324%4 Oct →
dust211–13-0.0230%4 Oct →
dust213–50.0526%4 Oct →
nuke13–80.0619%4 Oct →
nuke10–130.0119%4 Oct →
cache6–13-0.0615%3 Oct →
cache13–7-0.0212%3 Oct →
dust213–70.0926%2 Oct →
ancient13–8-0.0119%2 Oct →
anubis13–70.0318%1 Oct →
dust213–9-0.0323%1 Oct →

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 →

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