Dagen

Dagen — CS2 Stats

US76561198127529777[U:1:167264049]Steam profile ↗✓ No bans

1,924Tracked matches50%Win rate2020Tracked since
1,960Hours in CS
CSDB Rating6.0 SolidPositional Player
Premier CS Rating13,307Blue band · top ~37.4% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (2 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: 13,307 -3,399 27 Aug – 11 Oct · 12 days played
13,30716,706peak 16,70627 Aug11 Oct
16,706Peak Premier in tracked matches
29Days played since 2026-08-24

Premier CS Rating

  • 3,399 below peak (16,706)
  • -1,577 over 30 days · declining
  • Next: Purple band at 15,000 — 1,693 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 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 rate48.7%42.0%44.3%above
Shot accuracy14.3%9.6%11.9%above
Kill/death ratio0.790.981.030.24 short
Match win rate41.6%43.8%45.2%3.6% short

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.GGDagenPREMIER13,307 · Blue bandcsdb.gg/stats

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Performance scores

Aim82
Positioning55
Utility36

0–100 skill scores via Leetify.

Recent form

HOT41–52–7Last 10041%Win rateLWWWTWLWWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · +4.0pp headshot accuracy · +20ms reaction

Win rate up 30pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 630ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 22%
  • Avg reaction 621ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 611ms

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).

Aim8.2
Utility3.6
Positioning5.5
Opening Duels3.5
Clutch3.6

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

donk

Plays most like donk 89% playstyle similarity

Most alike: aim profile, utility contribution.

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 →

Strengths & areas to improve

Strengths

T openings. 66% 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 66% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 615ms 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

Aim8.2
Positioning5.5
Utility3.6
Mechanics7.8
Opening Duels5.8
Win Impact5.0

Composite 6.0/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time616ms−19ms
first ⅓ avg 635ms → last ⅓ avg 616ms
Headshot accuracy19.1%−8.7%
first ⅓ avg 27.8% → last ⅓ avg 19.1%

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

0.21Best match rating · 4–3 · dust2, 4 Sept →
52%Best headshot accuracy · 13–4 · cache, 21 Sept →
453msFastest reaction time · 7–13 · nuke, 15 Sept →
13–0Biggest win · mirage, 11 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
1–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 54% over 28anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2815–1354%0.03
mirageC259–1636%0.01
cacheC229–1341%-0.01
infernoC73–443%0.00
anubisD71–614%-0.00
nuke—42–250%-0.02
train—41–325%-0.01
ancient—21–150%0.02
overpass—10–10%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

74,935Lifetime kills
0.79K/D
4,084Matches
41.6%Match win rate
48.7%Headshot % · Top 25% of Blue band
14.3%Shot accuracy · Top 25% of Blue band
10,957MVPs
1,960Hours (in match)
2,100Bombs planted
659Bombs defused

Most-used weapons

AK-4728,223
AWP5,241
SSG 081,485
FAMAS1,304
P2501,006

Lifetime map wins

9,049dust2
6,709inferno
1,030vertigo
964nuke
901train
85office
55cbble
42lake

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

Faceit stats

Combat

557Matches
50%Win rate
0.64Avg K/D
71.5ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
12%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1533%0.7613.4
Inferno1136%0.6810.9
Cache633%0.7213.7
Dust2650%1.0917.0
Ancient475%0.6511.0
Anubis2100%0.8718.0
Nuke10%0.8214.0
Overpass1100%1.5018.0

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.

18.5%Headshot accuracy
37.0%Accuracy (enemy spotted)
39.4%Spray accuracy
85.2%Counter-strafing
7.6°Preaim
615msReaction time
65.8%T opening success
41.0%CT opening success
0.51Enemies flashed / flash
2.4%Flash assists
10.78HE damage / grenade
2.82Flashes / 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 2.8167 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–130.0126%11 Oct →
nuke13–3-0.0230%11 Oct →
cache13–70.1217%11 Oct →
mirage13–30.1715%11 Oct →
overpass12–120.0019%11 Oct →
mirage13–00.1314%11 Oct →
cache11–13-0.0312%11 Oct →
dust213–30.1732%11 Oct →
cache13–80.0019%10 Oct →
dust213–90.0134%10 Oct →
mirage12–12-0.0514%10 Oct →
nuke13–100.0725%10 Oct →
mirage5–13-0.0618%8 Oct →
dust213–50.0316%8 Oct →
dust28–130.0326%4 Oct →
cache8–130.0114%4 Oct →
inferno13–100.0426%4 Oct →
cache6–13-0.0314%4 Oct →
dust27–13-0.035%4 Oct →
mirage13–100.0819%4 Oct →
dust213–90.0114%4 Oct →
nuke9–13-0.0713%3 Oct →
dust210–130.0225%3 Oct →
mirage6–13-0.0610%3 Oct →
mirage8–13-0.0429%30 Sept →
cache13–50.0613%30 Sept →
dust213–50.0221%29 Sept →
cache7–13-0.048%28 Sept →
mirage8–13-0.0115%28 Sept →
inferno10–13-0.0316%24 Sept →
train12–120.0328%24 Sept →
cache9–130.0420%24 Sept →
dust213–100.0928%23 Sept →
mirage7–130.0326%23 Sept →
anubis7–13-0.0116%23 Sept →
mirage13–30.0318%23 Sept →
dust213–110.0623%23 Sept →
train2–13-0.106%23 Sept →
dust213–90.0334%21 Sept →
anubis5–13-0.0416%21 Sept →
cache13–4-0.0152%21 Sept →
mirage13–8-0.0718%20 Sept →
dust27–13-0.0716%20 Sept →
train8–130.0024%20 Sept →
mirage11–130.1022%20 Sept →
mirage11–130.0922%15 Sept →
mirage13–60.0518%15 Sept →
nuke7–13-0.0532%15 Sept →
cache4–13-0.099%14 Sept →
mirage13–1-0.0017%14 Sept →
dust213–40.0715%14 Sept →
anubis7–130.0127%14 Sept →
mirage13–7-0.0325%14 Sept →
anubis0–13-0.0625%14 Sept →
cache11–13-0.0521%14 Sept →
dust210–130.0731%14 Sept →
cache9–13-0.0225%12 Sept →
cache13–70.0734%12 Sept →
mirage5–13-0.0621%12 Sept →
mirage7–130.0637%12 Sept →
mirage11–13-0.0230%11 Sept →
dust213–9-0.0531%11 Sept →
inferno13–8-0.0320%11 Sept →
cache6–13-0.0819%11 Sept →
inferno13–100.0726%11 Sept →
ancient13–40.0423%11 Sept →
cache9–13-0.0541%11 Sept →
mirage7–13-0.0350%10 Sept →
dust213–9-0.0050%10 Sept →
dust210–13-0.0426%9 Sept →
mirage9–13-0.0225%9 Sept →
anubis12–120.0429%7 Sept →
cache13–8-0.0229%7 Sept →
mirage7–13-0.0236%7 Sept →
cache8–13-0.0633%6 Sept →
inferno2–13-0.0220%6 Sept →
inferno15–15-0.0319%5 Sept →
dust212–12-0.0330%4 Sept →
dust24–30.2129%4 Sept →
ancient5–130.0044%4 Sept →
inferno11–130.0120%4 Sept →
mirage9–13-0.0018%4 Sept →
dust213–80.0334%4 Sept →
cache13–8-0.0311%4 Sept →
dust29–130.0533%3 Sept →
mirage13–16-0.0227%3 Sept →
dust213–4-0.0323%31 Aug →
cache10–13-0.0225%30 Aug →
anubis5–130.0224%30 Aug →
train13–60.0131%30 Aug →
dust213–00.2024%30 Aug →
mirage13–100.0731%30 Aug →
dust212–12-0.0125%29 Aug →
cache13–100.0121%29 Aug →
anubis13–80.0117%29 Aug →
dust213–10-0.0324%27 Aug →
cache13–9-0.0424%27 Aug →
dust211–130.0032%27 Aug →
cache3–130.0718%25 Aug →
dust210–13-0.0235%24 Aug →

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.