turskanparahdus

turskanparahdus — CS2 Stats

76561197960828091[U:1:562363]Steam profile ↗✓ No bans

2,409Tracked matches40%Win rate2020Tracked since
7,370Hours in CS17Hrs last 2 wks
CSDB Rating3.8 LearningSupport
Premier CS Rating5,253Light Blue band · top ~77.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 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: 5,253 -161 14 Aug – 2 Nov · 24 days played
5,0006,338peak 6,33814 Aug2 Nov
6,338Peak Premier in tracked matches
35Days played since 2026-08-14

Premier CS Rating

  • 1,085 below peak (6,338)
  • -66 over 30 days · steady
  • -161 over 90 days
  • Next: Blue band at 10,000 — 4,747 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-01

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 Level 3 among CSDB-tracked players (n=10,505), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate32.4%41.8%42.7%10.3% short
Shot accuracy13.5%12.2%11.2%above
Kill/death ratio0.950.980.990.04 short
Match win rate40.7%43.3%43.9%3.2% short

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGturskanparahdusFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER5,253 · 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

Aim44
Positioning43
Utility57

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateWLLLLWLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −1.0pp headshot accuracy · −15ms reaction

Win rate down 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 659ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 638ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 646ms

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: Support — Utility contribution stands above the rest of this profile (+2.1 against its own average).

Aim4.4
Utility5.7
Positioning4.3
Opening Duels0.7

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

b1t

Plays most like b1t 69% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

Reaction time. 643ms 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

Aim4.4
Positioning4.3
Utility5.7
Mechanics6.2
Opening Duels0.8
Win Impact1.7

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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time654ms+31ms
first ⅓ avg 623ms → last ⅓ avg 654ms
Headshot accuracy12.8%+0.9%
first ⅓ avg 11.9% → last ⅓ avg 12.8%

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

0.14Best match rating · 13–3 · inferno, 2 Nov →
28%Best headshot accuracy · 13–6 · office, 15 Oct →
406msFastest reaction time · 2–13 · dust2, 15 Aug →
13–1Biggest win · train, 24 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 58% over 12dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
officeC4520–2544%-0.00
infernoA127–558%-0.01
dust2D91–811%-0.02
nukeA95–456%-0.00
cacheC73–443%-0.02
anubisD51–420%-0.02
mirageD51–420%-0.02
ancient—40–40%-0.04
vertigo—20–20%-0.05
shelter—11–0100%-0.00
train—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

161,696Lifetime kills
0.95K/D
9,533Matches
40.7%Match win rate
32.4%Headshot %
13.5%Shot accuracy · Top 50% of Level 3 players
19,997MVPs
3,868Hours (in match)
13,919Bombs planted
1,716Bombs defused

Most-used weapons

AK-4742,845
Glock-1810,004
AWP6,618
FAMAS4,595
P2504,587
P903,931

Lifetime map wins

11,342inferno
11,276nuke
10,530dust2
10,455office
4,751train
3,574vertigo
1,693italy
1,596cbble

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.

12.7%Headshot accuracy
32.8%Accuracy (enemy spotted)
36.4%Spray accuracy
77.9%Counter-strafing
12.5°Preaim
643msReaction time
29.9%T opening success
36.6%CT opening success
0.60Enemies flashed / flash
3.7%Flash assists
13.35HE damage / grenade
4.68Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5147° — above the 12° mark we flag

    Aim Training →
  2. 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 12.7494% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–30.1417%2 Nov →
dust210–130.029%2 Nov →
cache8–13-0.0119%2 Nov →
anubis10–13-0.0517%1 Nov →
nuke10–130.0613%1 Nov →
inferno13–10-0.012%1 Nov →
cache6–13-0.0913%1 Nov →
dust27–13-0.0213%1 Nov →
mirage11–13-0.019%31 Oct →
office4–13-0.029%31 Oct →
office13–30.0225%31 Oct →
office11–13-0.0120%31 Oct →
inferno13–110.0113%24 Oct →
office3–130.0212%24 Oct →
ancient5–13-0.0410%24 Oct →
anubis9–13-0.029%24 Oct →
cache13–110.0010%24 Oct →
office11–130.0011%18 Oct →
office4–13-0.0816%17 Oct →
office13–4-0.016%17 Oct →
anubis8–13-0.0314%17 Oct →
nuke16–13-0.079%17 Oct →
inferno16–12-0.085%16 Oct →
cache13–11-0.0510%16 Oct →
office9–13-0.039%16 Oct →
office11–13-0.047%16 Oct →
office13–90.0614%16 Oct →
office8–13-0.0224%15 Oct →
office13–60.0628%15 Oct →
office13–9-0.0220%15 Oct →
office7–13-0.0214%10 Oct →
office9–13-0.0912%10 Oct →
office11–6-0.074%10 Oct →
office5–130.0323%10 Oct →
office13–110.0611%7 Oct →
office13–10-0.0118%6 Oct →
office13–40.0820%6 Oct →
mirage8–13-0.0513%5 Oct →
ancient9–13-0.0415%5 Oct →
office10–130.088%4 Oct →
anubis16–12-0.0614%2 Oct →
mirage4–13-0.0310%2 Oct →
cache9–130.0216%27 Sept →
dust28–13-0.0311%27 Sept →
mirage14–16-0.0215%26 Sept →
nuke13–9-0.0212%26 Sept →
inferno6–13-0.062%26 Sept →
office11–13-0.0216%26 Sept →
office13–8-0.0116%26 Sept →
office13–20.0015%26 Sept →
dust29–130.015%26 Sept →
dust215–15-0.027%25 Sept →
inferno13–7-0.083%24 Sept →
office13–7-0.079%23 Sept →
office13–6-0.0812%23 Sept →
office13–40.0712%22 Sept →
office8–130.0915%22 Sept →
office4–13-0.057%21 Sept →
inferno5–13-0.0614%18 Sept →
office13–100.0419%18 Sept →
nuke13–11-0.024%17 Sept →
inferno7–13-0.0613%17 Sept →
dust213–7-0.018%14 Sept →
office13–110.0713%14 Sept →
office7–130.0424%14 Sept →
office13–7-0.0515%14 Sept →
office10–130.0314%14 Sept →
office12–120.0320%13 Sept →
office12–12-0.047%13 Sept →
ancient15–15-0.0512%13 Sept →
anubis8–130.0312%13 Sept →
nuke13–9-0.0111%13 Sept →
ancient9–13-0.049%13 Sept →
vertigo4–9-0.070%12 Sept →
office3–13-0.0516%12 Sept →
office7–13-0.063%12 Sept →
vertigo11–13-0.0316%12 Sept →
office13–80.0219%9 Sept →
cache13–6-0.078%9 Sept →
nuke2–13-0.048%9 Sept →
office4–130.0318%8 Sept →
office13–100.0511%8 Sept →
office11–13-0.036%8 Sept →
office7–130.0120%29 Aug →
nuke4–13-0.005%29 Aug →
mirage13–50.009%26 Aug →
office12–12-0.0112%26 Aug →
cache9–130.0217%25 Aug →
inferno9–13-0.027%25 Aug →
shelter13–3-0.008%25 Aug →
train13–10.0623%24 Aug →
office13–1-0.046%24 Aug →
dust211–130.0315%19 Aug →
nuke16–140.0319%19 Aug →
inferno13–11-0.0211%19 Aug →
dust214–16-0.0519%15 Aug →
dust22–13-0.1410%15 Aug →
inferno9–130.0111%14 Aug →
nuke4–130.049%14 Aug →
inferno13–20.0614%14 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.