TramperDK

TramperDK — CS2 Stats

DK76561198150329357[U:1:190063629]Steam profile ↗✓ No bans

2,332Tracked matches34%Win rate2020Tracked since
2,773Hours in CS
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating22,016Top 50% of 213,211 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#56210 of 259939 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (25 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: 22,016 -741 19 Jul – 10 Oct · 33 days played
20,00022,812peak 22,81219 Jul10 Oct
23,163Peak Premier in tracked matches
34Days played since 2026-07-19

Premier CS Rating

  • 796 below peak (22,812)
  • +656 over 30 days · improving
  • -741 over 90 days
  • Next: Red band at 25,000 — 2,984 to go
  • Reached: Pink band · 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate34.2%46.9%49.3%15.1% short
Shot accuracy16.1%13.0%13.4%above
Kill/death ratio0.941.081.120.18 short
Match win rate37.0%46.7%48.5%11.5% short

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

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

Share this profile

CSDB.GGTramperDKPREMIER22,016 · Pink bandcsdb.gg/stats

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Performance scores

Aim70
Positioning72
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY27–70–3Last 10027%Win rateWLWWLLWLWW

Last 10 vs previous 10: +40pp win rate · +0.07 avg rating · +0.2pp headshot accuracy · −2ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 17%
  • Avg reaction 550ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 528ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 529ms

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 (+2.8 against its own average).

Aim7.0
Utility3.3
Positioning7.2
Opening Duels2.5
Clutch4.6

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

iM

Plays most like iM 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

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

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

Aim7.0
Positioning7.2
Utility3.3
Mechanics5.0
Opening Duels2.4
Win Impact0.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time533ms−17ms
first ⅓ avg 550ms → last ⅓ avg 533ms
Headshot accuracy16.2%+0.3%
first ⅓ avg 15.9% → last ⅓ avg 16.2%

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

0.18Best match rating · 13–7 · dust2, 5 Aug →
33%Best headshot accuracy · 0–9 · anubis, 11 Aug →
367msFastest reaction time · 1–13 · inferno, 6 Aug →
13–3Biggest win · anubis, 26 Aug →

Across the last 100 tracked matches.

Highlights

2Longest win streak
5–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 71% over 7mirageWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
infernoD225–1723%-0.01
anubisD182–1611%0.02
nukeC176–1135%0.03
cacheC135–838%0.03
mirageD111–109%-0.03
ancientD91–811%-0.00
dust2S75–271%0.05
vertigo—22–0100%0.13
train—10–10%-0.12

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (9% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

147,545Lifetime kills
0.94K/D
8,227Matches
37.0%Match win rate
34.2%Headshot %
16.1%Shot accuracy · Top 25% of Pink band
20,345MVPs
2,773Hours (in match)
7,118Bombs planted
1,756Bombs defused

Most-used weapons

AK-4743,470
AWP17,892
MP93,295
P2503,249
SG 5533,174
Tec-92,898

Lifetime map wins

10,050inferno
8,917nuke
4,830dust2
1,988vertigo
1,674train
935lake
535cbble
525office

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

Faceit stats

Combat

278Matches
53%Win rate
1.08Avg K/D
100.8ADR
31%Headshot %

Clutches & streaks

43%1v1 clutch win
33%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1155%1.2320.2
Nuke838%1.2421.4
Mirage650%1.7323.5
Ancient250%0.9518.5
Dust2250%0.8612.5
Overpass1100%1.3316.0
Cache10%1.4320.0
Vertigo1100%5.6717.0

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.

15.8%Headshot accuracy
36.5%Accuracy (enemy spotted)
39.4%Spray accuracy
72.3%Counter-strafing
10.0°Preaim
533msReaction time
36.6%T opening success
42.8%CT opening success
0.41Enemies flashed / flash
2.7%Flash assists
8.07HE damage / grenade
2.76Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4059 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 36.5818% — below the 40% mark we flag

Spend your practice time on Mirage

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0620%10 Oct →
cache11–13-0.007%10 Oct →
dust213–70.0423%10 Oct →
anubis13–110.1410%10 Oct →
mirage8–130.0523%10 Oct →
nuke10–130.0814%9 Oct →
nuke13–60.0616%9 Oct →
mirage7–13-0.039%9 Oct →
mirage13–5-0.0412%9 Oct →
dust210–10.0724%9 Oct →
ancient7–130.014%9 Oct →
inferno10–13-0.0613%9 Oct →
train1–13-0.1214%9 Oct →
ancient7–13-0.0625%30 Sept →
inferno7–13-0.0122%10 Sept →
inferno16–120.0115%10 Sept →
mirage10–13-0.0114%8 Sept →
ancient6–130.0413%8 Sept →
inferno13–5-0.026%7 Sept →
nuke7–13-0.0229%7 Sept →
anubis8–130.016%4 Sept →
nuke13–100.1124%4 Sept →
dust213–70.0721%3 Sept →
ancient15–150.0510%3 Sept →
mirage7–13-0.0617%3 Sept →
anubis6–13-0.0015%3 Sept →
vertigo9–60.1226%1 Sept →
mirage4–13-0.0822%1 Sept →
cache6–130.0916%31 Aug →
anubis9–130.0220%31 Aug →
cache6–130.0415%31 Aug →
cache13–4-0.0117%28 Aug →
anubis13–30.1112%26 Aug →
inferno1–13-0.0118%26 Aug →
cache13–90.0418%26 Aug →
nuke13–160.0918%25 Aug →
cache13–110.1320%25 Aug →
inferno10–130.0112%24 Aug →
anubis1–13-0.0119%24 Aug →
anubis8–130.0110%21 Aug →
inferno13–100.0313%21 Aug →
nuke5–13-0.0321%21 Aug →
anubis10–13-0.0010%21 Aug →
dust213–60.0615%20 Aug →
nuke10–130.0118%19 Aug →
anubis14–160.0511%19 Aug →
inferno4–130.0022%19 Aug →
nuke5–130.0727%19 Aug →
mirage1–13-0.120%13 Aug →
nuke13–8-0.0116%13 Aug →
dust213–16-0.0215%12 Aug →
anubis3–13-0.119%12 Aug →
anubis0–9-0.0433%11 Aug →
cache6–130.0427%11 Aug →
nuke1–130.0913%10 Aug →
inferno6–13-0.0313%10 Aug →
inferno7–130.0311%10 Aug →
anubis4–13-0.0310%9 Aug →
inferno6–130.0115%9 Aug →
cache3–130.009%9 Aug →
ancient15–150.0312%6 Aug →
inferno1–13-0.1117%6 Aug →
mirage10–130.0714%6 Aug →
dust25–13-0.0712%6 Aug →
ancient2–13-0.0517%5 Aug →
inferno3–13-0.039%5 Aug →
anubis1–13-0.056%5 Aug →
dust213–70.188%5 Aug →
ancient13–9-0.059%4 Aug →
mirage15–15-0.076%4 Aug →
ancient10–13-0.0010%4 Aug →
inferno3–13-0.0213%4 Aug →
nuke11–130.0424%4 Aug →
anubis12–160.1020%3 Aug →
vertigo13–60.1418%2 Aug →
anubis11–13-0.0213%2 Aug →
inferno13–11-0.0713%2 Aug →
nuke8–130.0218%1 Aug →
nuke13–11-0.0017%1 Aug →
nuke13–50.0421%1 Aug →
anubis7–130.0713%31 Jul →
cache13–110.0214%31 Jul →
mirage11–130.0321%31 Jul →
inferno10–13-0.0515%29 Jul →
inferno11–130.0315%29 Jul →
anubis6–130.066%29 Jul →
mirage7–13-0.0413%28 Jul →
nuke7–13-0.0715%28 Jul →
cache11–130.0317%28 Jul →
inferno9–130.0020%28 Jul →
nuke11–13-0.0318%22 Jul →
cache13–70.0411%22 Jul →
anubis11–13-0.0015%22 Jul →
ancient7–130.0210%22 Jul →
cache1–13-0.0329%22 Jul →
inferno11–130.0619%20 Jul →
inferno10–13-0.0117%20 Jul →
cache5–13-0.0627%20 Jul →
nuke13–90.0321%20 Jul →
inferno3–130.0117%19 Jul →

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.