dasisnielske

dasisnielske — CS2 Stats

SE76561198340649840[U:1:380384112]Steam profile ↗✓ No bans

893Tracked matches57%Win rate2020Tracked since
1,779Hours in CS47Hrs last 2 wks
CSDB Rating3.8 LearningPositional Player
Premier CS Rating9,491Light Blue band · top ~57.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 9,491 -2,313 30 Aug – 30 Sept · 23 days played
8,02612,234peak 12,23430 Aug30 Sept
12,337Peak Premier in tracked matches
23Days played since 2026-08-30

Premier CS Rating

  • 2,743 below peak (12,234)
  • -1,970 over 30 days · declining
  • Next: Blue band at 10,000 — 509 to go
  • Reached: 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate34.1%39.9%41.9%7.9% short
Shot accuracy4.2%7.0%9.6%5.5% short
Kill/death ratio0.960.920.980.02 short
Match win rate50.3%42.3%43.8%above

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

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

Share this profile

CSDB.GGdasisnielskePREMIER9,491 · Light Blue 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

Aim27
Positioning60
Utility34

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateWWLWWWWLWL

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · −3.7pp headshot accuracy · +9ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 9%
  • Avg reaction 609ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 8%
  • Avg reaction 645ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 641ms

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).

Aim2.7
Utility3.4
Positioning6.0
Opening Duels4.8

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 65% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 644ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.7
Positioning6.0
Utility3.4
Mechanics1.9
Opening Duels6.9
Win Impact7.2

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time642ms−7ms
first ⅓ avg 649ms → last ⅓ avg 642ms
Headshot accuracy9.9%−2.8%
first ⅓ avg 12.7% → last ⅓ avg 9.9%

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

0.13Best match rating · 13–2 · ancient, 14 Sept →
32%Best headshot accuracy · 4–13 · dust2, 10 Sept →
445msFastest reaction time · 1–13 · dust2, 15 Sept →
13–0Biggest win · mirage, 29 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
8–10In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 80% over 5cacheWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C239–1439%-0.02
mirageS2217–577%-0.01
infernoD164–1225%-0.03
ancientA138–562%-0.00
cacheD112–918%-0.02
anubisS107–370%0.00
nukeS54–180%0.05

Across the last 100 tracked matches.

Lifetime stats

30,671Lifetime kills
0.96K/D · Top 50% of Light Blue band
1,836Matches
50.3%Match win rate · Top 10% of Light Blue band
34.1%Headshot %
4.2%Shot accuracy
4,178MVPs
752Hours (in match)
2,065Bombs planted
384Bombs defused

Most-used weapons

Lifetime map wins

5,406dust2
2,100inferno
1,850nuke
336train
162vertigo
64cbble
38office
3ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.9%Headshot accuracy
31.5%Accuracy (enemy spotted)
33.9%Spray accuracy
58.6%Counter-strafing
10.6°Preaim
644msReaction time
60.0%T opening success
55.5%CT opening success
0.51Enemies flashed / flash
1.1%Flash assists
8.92HE damage / grenade
2.93Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.8662% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 2.9278 — below the 4 mark we flag

    Grenade Lineups →
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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient13–110.026%30 Sept →
anubis16–140.007%30 Sept →
cache9–13-0.0912%30 Sept →
ancient8–2-0.047%30 Sept →
mirage13–80.0911%30 Sept →
nuke13–50.1111%30 Sept →
mirage13–00.044%29 Sept →
ancient11–13-0.065%29 Sept →
anubis13–100.089%29 Sept →
anubis6–13-0.017%29 Sept →
anubis7–13-0.077%29 Sept →
dust27–13-0.042%29 Sept →
inferno7–13-0.0312%28 Sept →
dust211–13-0.0128%28 Sept →
dust214–160.057%28 Sept →
mirage13–8-0.0510%28 Sept →
mirage13–80.0317%28 Sept →
mirage9–13-0.013%28 Sept →
inferno3–13-0.0610%28 Sept →
mirage13–4-0.0221%27 Sept →
inferno10–13-0.054%27 Sept →
mirage13–100.0013%27 Sept →
inferno7–13-0.018%27 Sept →
ancient13–90.069%27 Sept →
mirage13–4-0.028%27 Sept →
dust213–100.0212%27 Sept →
mirage13–11-0.0513%27 Sept →
mirage13–5-0.0116%27 Sept →
anubis13–70.027%24 Sept →
ancient11–13-0.018%24 Sept →
cache13–50.075%24 Sept →
anubis6–13-0.0511%23 Sept →
ancient11–13-0.0813%23 Sept →
nuke13–80.0210%20 Sept →
cache11–13-0.0216%20 Sept →
inferno13–6-0.012%19 Sept →
inferno13–70.0315%19 Sept →
inferno9–3-0.0610%19 Sept →
dust213–11-0.0610%19 Sept →
mirage11–13-0.0713%19 Sept →
dust213–100.047%19 Sept →
inferno6–13-0.0312%18 Sept →
inferno10–13-0.0311%18 Sept →
mirage13–20.0628%18 Sept →
mirage13–8-0.025%16 Sept →
inferno7–13-0.0412%15 Sept →
nuke13–80.0611%15 Sept →
dust213–11-0.048%15 Sept →
ancient11–13-0.003%15 Sept →
dust29–13-0.0412%15 Sept →
dust22–130.0111%15 Sept →
dust21–13-0.0615%15 Sept →
dust29–13-0.0312%15 Sept →
mirage13–110.0011%15 Sept →
mirage13–8-0.018%14 Sept →
cache4–13-0.0017%14 Sept →
cache13–10-0.0114%14 Sept →
ancient13–20.1321%14 Sept →
nuke13–50.0813%14 Sept →
dust29–130.0012%14 Sept →
mirage13–11-0.0215%14 Sept →
mirage13–7-0.019%11 Sept →
dust213–4-0.028%10 Sept →
dust28–13-0.0624%10 Sept →
dust211–13-0.039%10 Sept →
anubis13–10.072%10 Sept →
cache13–16-0.038%10 Sept →
cache9–13-0.043%10 Sept →
dust24–13-0.0432%10 Sept →
dust28–13-0.0421%8 Sept →
inferno11–13-0.0210%8 Sept →
nuke15–15-0.047%8 Sept →
ancient6–13-0.0320%8 Sept →
inferno6–130.0021%8 Sept →
inferno8–13-0.0328%7 Sept →
anubis13–2-0.008%7 Sept →
mirage13–4-0.0114%7 Sept →
inferno0–13-0.0817%6 Sept →
mirage9–13-0.0314%5 Sept →
dust213–9-0.0219%4 Sept →
dust210–130.0114%4 Sept →
dust213–6-0.0717%4 Sept →
mirage13–60.039%4 Sept →
inferno4–1-0.047%4 Sept →
anubis13–30.0010%4 Sept →
ancient13–50.053%2 Sept →
dust213–10-0.0117%2 Sept →
ancient13–9-0.023%2 Sept →
mirage3–13-0.089%2 Sept →
cache4–13-0.089%2 Sept →
dust213–60.084%2 Sept →
cache8–13-0.0416%1 Sept →
dust210–13-0.0511%1 Sept →
cache6–13-0.0717%1 Sept →
anubis13–2-0.0111%1 Sept →
cache9–130.048%1 Sept →
inferno7–13-0.0512%31 Aug →
mirage7–13-0.015%31 Aug →
ancient13–11-0.008%31 Aug →
ancient13–5-0.0313%30 Aug →

Match data via Leetify.

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.