Dend1

Dend1 — CS2 Stats

KP76561198453972804[U:1:493707076]Steam profile ↗✓ No bans

891Tracked matches50%Win rate2021Tracked since
3,959Hours in CS0Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (27 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: 14,999 -2,398 12 Sept – 18 Oct · 29 days played
14,58019,333peak 19,33312 Sept18 Oct
19,333Peak Premier in tracked matches
29Days played since 2026-09-12

Premier CS Rating

  • 4,334 below peak (19,333)
  • -1,985 over 30 days · declining
  • Next: Purple band at 15,000 — 1 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

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=21,222), 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 rate46.7%42.0%44.4%above
Shot accuracy11.5%9.6%11.9%0.4% short
Kill/death ratio0.990.981.030.04 short
Match win rate45.1%43.8%45.2%meets

This profile matches the typical Purple band player on 2 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.GGDend1PREMIER14,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim76
Positioning60
Utility40

0–100 skill scores via Leetify.

Recent form

HOT42–55–3Last 10042%Win rateWWLWWWLLWW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · +0.9pp headshot accuracy · +10ms 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 566ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 575ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 570ms

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 (+1.5 against its own average).

Aim7.6
Utility4.0
Positioning6.0
Opening Duels4.1
Clutch4.0

Limited 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

donk

Plays most like donk 94% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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. 65% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 65% on T to 46% on CT — first contacts on the defending side are being lost.

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

Aim7.6
Positioning6.0
Utility4.0
Mechanics6.2
Opening Duels6.3
Win Impact5.0

Composite 5.8/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time537ms−24ms
first ⅓ avg 561ms → last ⅓ avg 537ms
Headshot accuracy20.2%+1.1%
first ⅓ avg 19.2% → last ⅓ avg 20.2%

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

0.09Best match rating · 13–8 · dust2, 11 Oct →
44%Best headshot accuracy · 1–13 · dust2, 30 Sept →
297msFastest reaction time · 0–13 · mirage, 8 Oct →
13–0Biggest win · dust2, 19 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
5–5In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 56% over 9nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2814–1450%-0.00
dust2B2512–1348%-0.01
nukeD123–925%-0.00
ancientD124–833%-0.00
infernoA95–456%-0.01
cacheD82–625%-0.01
anubisD62–433%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,074Lifetime kills
0.99K/D · Top 50% of Blue band
6,581Matches
45.1%Match win rate · Top 50% of Blue band
46.7%Headshot % · Top 50% of Blue band
11.5%Shot accuracy · Top 50% of Blue band
14,784MVPs
2,153Hours (in match)
4,592Bombs planted
1,256Bombs defused

Most-used weapons

AK-4735,593
AWP9,850
FAMAS3,400
MP92,990
MAC-102,031

Lifetime map wins

14,914dust2
10,978inferno
1,941nuke
1,417vertigo
428office
375train
177lake
136cbble

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

Faceit stats

Combat

283Matches
54%Win rate
1.06Avg K/D
78.1ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust27766%1.1615.4
Mirage7059%1.0815.8
Ancient2454%0.9514.6
Nuke1963%1.0117.6
Inferno1242%0.9516.7
Anubis1164%0.9414.9
Overpass560%0.8312.8
Train20%0.325.5

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.

20.4%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.4%Spray accuracy
78.0%Counter-strafing
9.1°Preaim
542msReaction time
64.7%T opening success
45.6%CT opening success
0.58Enemies flashed / flash
1.9%Flash assists
7.49HE damage / grenade
3.94Flashes / 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. Grenades & Utility

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

    Flashes per match 3.9417 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0719%18 Oct →
mirage13–100.0418%18 Oct →
nuke2–13-0.0636%18 Oct →
inferno13–2-0.0725%15 Oct →
dust213–80.0721%14 Oct →
dust216–130.0421%14 Oct →
dust213–16-0.0020%14 Oct →
dust25–13-0.0723%13 Oct →
mirage13–100.0318%12 Oct →
inferno13–50.0419%12 Oct →
ancient14–160.0421%12 Oct →
inferno13–11-0.0122%11 Oct →
dust213–70.0421%11 Oct →
nuke13–90.0222%11 Oct →
dust213–80.0916%11 Oct →
cache7–130.0630%11 Oct →
mirage6–110.0219%11 Oct →
dust213–20.0918%11 Oct →
mirage10–130.0318%11 Oct →
mirage12–160.0125%10 Oct →
dust210–13-0.0425%9 Oct →
cache4–13-0.0110%9 Oct →
mirage0–13-0.0317%8 Oct →
dust23–13-0.1113%8 Oct →
ancient13–6-0.0417%7 Oct →
nuke9–13-0.038%7 Oct →
inferno5–13-0.0018%7 Oct →
dust216–13-0.0127%6 Oct →
mirage13–70.0730%6 Oct →
mirage10–13-0.0116%6 Oct →
mirage13–8-0.0419%6 Oct →
nuke6–130.0213%5 Oct →
inferno2–13-0.0225%5 Oct →
anubis6–13-0.0316%5 Oct →
anubis13–20.029%5 Oct →
mirage13–30.0323%5 Oct →
nuke9–13-0.0820%5 Oct →
nuke10–130.0117%4 Oct →
cache9–13-0.0410%4 Oct →
mirage5–130.0218%4 Oct →
dust213–60.0513%4 Oct →
anubis4–13-0.0618%4 Oct →
cache13–100.0118%4 Oct →
ancient13–50.0619%4 Oct →
mirage13–10-0.0433%4 Oct →
mirage11–13-0.0319%2 Oct →
inferno4–13-0.0524%2 Oct →
dust213–11-0.0414%2 Oct →
cache5–13-0.0611%30 Sept →
mirage13–100.0630%30 Sept →
ancient13–110.0220%30 Sept →
mirage1–13-0.0915%30 Sept →
dust21–13-0.0844%30 Sept →
ancient13–10-0.0420%28 Sept →
nuke10–130.0138%28 Sept →
mirage13–110.0219%28 Sept →
nuke13–100.0821%26 Sept →
mirage7–13-0.0328%26 Sept →
nuke13–80.0419%26 Sept →
ancient9–130.0131%25 Sept →
ancient12–16-0.0118%25 Sept →
dust27–13-0.0318%25 Sept →
mirage9–130.0223%25 Sept →
ancient6–13-0.0413%25 Sept →
dust214–16-0.0514%25 Sept →
mirage13–90.0537%24 Sept →
dust23–13-0.0420%23 Sept →
dust213–60.0225%23 Sept →
mirage13–9-0.0317%23 Sept →
mirage1–4-0.148%23 Sept →
anubis15–15-0.007%22 Sept →
mirage15–150.0114%21 Sept →
dust214–16-0.0122%21 Sept →
mirage13–20.069%21 Sept →
mirage11–13-0.0417%20 Sept →
dust213–11-0.0411%20 Sept →
inferno13–6-0.0419%19 Sept →
ancient9–13-0.0419%19 Sept →
cache13–6-0.0117%19 Sept →
dust213–00.0829%19 Sept →
anubis0–13-0.1114%18 Sept →
anubis13–70.0619%18 Sept →
nuke9–130.0318%18 Sept →
dust25–13-0.0218%18 Sept →
cache4–13-0.0819%18 Sept →
ancient10–130.0224%18 Sept →
nuke8–13-0.0521%17 Sept →
dust24–13-0.0615%17 Sept →
cache12–160.0226%16 Sept →
ancient6–130.0318%16 Sept →
dust213–50.0740%16 Sept →
inferno5–13-0.0427%16 Sept →
dust29–13-0.0527%16 Sept →
nuke1–130.0124%16 Sept →
dust25–13-0.0431%16 Sept →
mirage13–100.0513%16 Sept →
mirage13–30.0211%16 Sept →
ancient8–13-0.0713%14 Sept →
mirage13–10-0.0223%14 Sept →
mirage15–15-0.0519%12 Sept →

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 →

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