PERSERKKI

PERSERKKI — CS2 Stats

FI76561197984728639[U:1:24462911]Steam profile ↗✓ No bans

1,679Tracked matches48%Win rate2020Tracked since
3,353Hours in CS21Hrs last 2 wks
CSDB Rating5.9 SolidClutch Specialist
Premier CS Rating16,880Purple band · top ~20.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). 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: 16,880 -1,374 25 Jul – 13 Oct · 20 days played
16,14918,987peak 18,98725 Jul13 Oct
19,428Peak Premier in tracked matches
20Days played since 2026-07-25

Premier CS Rating

  • 2,107 below peak (18,987)
  • -689 over 30 days · declining
  • -1,374 over 90 days
  • Next: Pink band at 20,000 — 3,120 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate38.1%44.3%46.9%8.9% short
Shot accuracy16.8%11.9%13.0%above
Kill/death ratio1.371.031.08above
Match win rate21.8%45.2%46.7%24.9% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGPERSERKKIPREMIER16,880 · Purple 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

Aim79
Positioning47
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWTLLWWWLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −4.7pp headshot accuracy · +45ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 583ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 549ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim7.9
Utility5.8
Positioning4.7
Opening Duels0.6
Clutch6.2

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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Aim7.9
Positioning4.7
Utility5.8
Mechanics7.3
Opening Duels1.6
Win Impact4.4

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time543ms+1ms
first ⅓ avg 542ms → last ⅓ avg 543ms
Headshot accuracy21.8%+6.6%
first ⅓ avg 15.2% → last ⅓ avg 21.8%

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

0.15Best match rating · 13–4 · anubis, 10 Oct →
38%Best headshot accuracy · 7–13 · nuke, 2 Oct →
367msFastest reaction time · 13–11 · nuke, 2 Oct →
13–1Biggest win · nuke, 9 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 71% over 14dust2Weakest map · 29% over 24
MapGradePlayedRecordWin rateAvg rating
dust2D247–1729%-0.01
ancientA159–660%-0.01
nukeS1410–471%0.00
anubisC135–838%0.00
mirageC125–742%-0.01
cacheS128–467%-0.01
infernoC104–640%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

191,687Lifetime kills
1.37K/D · Top 10% of Purple band
7,032Matches
21.8%Match win rate
38.1%Headshot %
16.8%Shot accuracy · Top 25% of Purple band
8,313MVPs
2,133Hours (in match)
4,686Bombs planted
750Bombs defused

Most-used weapons

SG 55346,950
AK-4732,153
AWP31,845
AUG11,195
SSG 088,393
MP76,686
XM10142,417

Lifetime map wins

19,292dust2
3,817nuke
2,724inferno
1,222train
564vertigo
198office
149cbble
35italy

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

Faceit stats

Combat

101Matches
49%Win rate
0.97Avg K/D
70.5ADR
43%Headshot %

Clutches & streaks

51%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22277%1.1314.4
Nuke1947%0.9313.1
Inferno1338%0.9112.0
Ancient1030%0.9813.7
Mirage944%0.9614.6
Anubis825%0.8014.9
Train367%0.609.7
Cache367%1.0513.3

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.

21.8%Headshot accuracy
30.8%Accuracy (enemy spotted)
38.4%Spray accuracy
82.8%Counter-strafing
8.3°Preaim
537msReaction time
40.6%T opening success
32.1%CT opening success
0.48Enemies flashed / flash
2.3%Flash assists
8.89HE damage / grenade
9.18Flashes / 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 0.4842 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.0911% — below the 40% mark we flag

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.

29% win rate across 24 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
dust213–90.0427%13 Oct →
mirage15–150.0117%13 Oct →
ancient8–130.0124%13 Oct →
ancient10–13-0.0226%10 Oct →
nuke13–10-0.0318%10 Oct →
mirage13–7-0.0122%10 Oct →
cache13–10-0.0213%10 Oct →
dust27–13-0.0417%10 Oct →
anubis13–40.1515%10 Oct →
anubis10–13-0.027%10 Oct →
mirage6–130.0119%9 Oct →
dust26–130.0226%9 Oct →
dust27–13-0.0426%9 Oct →
anubis13–100.0228%9 Oct →
ancient13–3-0.0114%9 Oct →
nuke13–10.0222%9 Oct →
inferno11–130.0721%9 Oct →
dust213–50.0825%9 Oct →
nuke13–40.0617%9 Oct →
nuke13–11-0.0334%2 Oct →
nuke7–13-0.0738%2 Oct →
inferno10–13-0.0617%2 Oct →
dust211–130.0234%2 Oct →
mirage8–13-0.0226%2 Oct →
nuke9–130.0424%2 Oct →
mirage14–160.0018%26 Sept →
nuke13–8-0.0016%26 Sept →
mirage11–13-0.0215%26 Sept →
cache13–90.1028%26 Sept →
inferno13–80.0021%26 Sept →
anubis11–130.0124%26 Sept →
mirage13–8-0.0023%26 Sept →
mirage15–150.0219%26 Sept →
dust214–160.0015%25 Sept →
inferno13–110.0232%25 Sept →
inferno3–13-0.1026%25 Sept →
mirage16–14-0.0125%25 Sept →
dust29–13-0.0312%25 Sept →
inferno7–13-0.0721%25 Sept →
mirage13–8-0.0428%20 Sept →
inferno13–30.0212%20 Sept →
ancient15–15-0.0516%19 Sept →
cache13–2-0.0125%19 Sept →
anubis6–130.0318%19 Sept →
cache6–13-0.0332%19 Sept →
nuke13–50.0415%19 Sept →
ancient13–20.1327%19 Sept →
dust216–13-0.0318%19 Sept →
dust25–13-0.0411%19 Sept →
nuke13–5-0.0032%19 Sept →
mirage16–130.0220%12 Sept →
cache16–13-0.016%11 Sept →
cache13–40.1017%11 Sept →
mirage7–13-0.0514%11 Sept →
dust213–60.0319%11 Sept →
ancient13–11-0.017%11 Sept →
dust211–13-0.0817%11 Sept →
nuke7–13-0.0116%11 Sept →
anubis8–13-0.0416%5 Sept →
ancient13–9-0.035%5 Sept →
dust213–60.0020%5 Sept →
inferno5–130.0112%5 Sept →
ancient9–13-0.1227%4 Sept →
anubis6–130.0114%31 Aug →
anubis9–13-0.0114%29 Aug →
ancient13–70.025%29 Aug →
dust24–13-0.0216%29 Aug →
ancient13–10.0432%29 Aug →
anubis8–13-0.0513%29 Aug →
dust24–13-0.0019%22 Aug →
anubis8–13-0.0215%21 Aug →
ancient13–5-0.0615%21 Aug →
ancient13–11-0.0316%21 Aug →
ancient13–80.0113%21 Aug →
dust25–13-0.0518%21 Aug →
nuke13–70.039%21 Aug →
cache7–13-0.037%21 Aug →
nuke13–70.0110%21 Aug →
nuke16–120.0113%21 Aug →
inferno5–130.0514%21 Aug →
anubis13–8-0.0512%21 Aug →
inferno13–11-0.0215%21 Aug →
nuke4–13-0.0414%7 Aug →
dust24–130.0116%7 Aug →
dust212–12-0.0320%7 Aug →
dust213–40.0314%1 Aug →
anubis13–10-0.0019%1 Aug →
anubis13–6-0.0110%31 Jul →
cache10–13-0.0511%31 Jul →
dust25–13-0.0313%31 Jul →
dust27–13-0.0418%31 Jul →
dust210–13-0.0514%25 Jul →
cache13–10.0011%25 Jul →
ancient6–13-0.0320%25 Jul →
cache13–8-0.0318%25 Jul →
dust29–130.0124%25 Jul →
ancient10–13-0.0317%25 Jul →
dust213–2-0.0112%25 Jul →
cache13–8-0.0328%25 Jul →
cache8–13-0.114%25 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.