perki

perki — CS2 Stats

HR76561198017780873[U:1:57515145]Steam profile ↗✓ No bans

1,994Tracked matches43%Win rate2021Tracked since
3,150Hours in CS
CSDB Rating4.9 DevelopingSupport
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Jul 2026 (63 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 29 days played since 21 May 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 15,000 -3,079 7 Jun17 Jul · 16 days played
15,00018,372peak 18,3727 Jun17 Jul
18,372Peak Premier in tracked matches
29Days played since 2025-05-21

Premier CS Rating

  • 3,372 below peak (18,372)
  • -2,397 over 30 days · declining
  • Next: Pink band at 20,000 5,000 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. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=34,112), 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 rate40.4%44.3%47.0%6.5% short
Shot accuracy14.1%11.8%13.0%above
Kill/death ratio0.931.031.080.15 short
Match win rate44.0%45.2%46.7%2.7% short

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

Widest gap: Headshot 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.GGperkiPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning48
Utility53

0–100 skill scores via Leetify.

Recent form

COLD43543Last 10043%Win rateLLLWLLLLWW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −2.3pp headshot accuracy · +30ms 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 613ms

Last 10

  • 37 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 617ms

Last 20

  • 812 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 602ms

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: SupportUtility contribution stands above the rest of this profile (+1.6 against its own average).

Aim6.4
Utility5.3
Positioning4.8
Opening Duels2.7
Clutch2.0

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

NiKo

Plays most like NiKo 89% 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. 586ms 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

Aim6.4
Positioning4.8
Utility5.3
Mechanics5.1
Opening Duels2.2
Win Impact2.8

Composite 4.9/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time579ms−10ms
first ⅓ avg 589ms → last ⅓ avg 579ms
Headshot accuracy13.0%−0.5%
first ⅓ avg 13.5% → last ⅓ avg 13.0%

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

0.12Best match rating · 13–4 · mirage, 13 Jul
35%Best headshot accuracy · 7–13 · dust2, 25 Apr
383msFastest reaction time · 13–3 · ancient, 12 Jul
13–1Biggest win · nuke, 1 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
910In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 50% over 12nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C2391439%-0.00
ancientB2091145%0.01
anubisC125742%-0.02
nukeD124833%0.01
infernoB126650%-0.02
mirageB126650%-0.00
cacheD62433%-0.02
overpass32167%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

133,501Lifetime kills
0.93K/D
4,959Matches
44.0%Match win rate
40.4%Headshot %
14.1%Shot accuracy · Top 50% of Purple band
10,843MVPs
3,150Hours (in match)
3,516Bombs planted
966Bombs defused

Most-used weapons

AK-4752,150
AWP28,844
P2503,438
FAMAS2,303
SSG 081,573

Lifetime map wins

11,604inferno
5,846dust2
4,147nuke
2,462train
2,178vertigo
1,334cbble
95bank
60aztec

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

Faceit stats

Combat

1,031Matches
51%Win rate
1.00Avg K/D
76.4ADR
30%Headshot %

Clutches & streaks

30%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis9957%1.0316.2
Ancient7949%0.9815.4
Inferno6964%0.9914.9
Mirage4544%0.8813.9
Nuke3554%0.9914.6
Dust23444%0.8312.9
Train1050%1.0715.6
Vertigo714%0.8013.1

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.

12.7%Headshot accuracy
35.9%Accuracy (enemy spotted)
42.3%Spray accuracy
72.8%Counter-strafing
9.7°Preaim
586msReaction time
32.3%T opening success
45.2%CT opening success
0.44Enemies flashed / flash
8.0%Flash assists
13.44HE damage / grenade
4.74Flashes / 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 12.7138% — below the 15% mark we flag

    Aim Training
  2. 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 0.4354 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 32.2674% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0714%17 Jul
nuke10–130.0410%17 Jul
inferno3–13-0.038%17 Jul
dust216–140.0411%16 Jul
anubis9–13-0.036%16 Jul
ancient9–130.047%14 Jul
inferno7–130.0117%14 Jul
nuke6–13-0.039%14 Jul
dust213–60.0224%13 Jul
mirage13–40.1223%13 Jul
dust28–130.0116%13 Jul
dust28–130.0417%13 Jul
inferno10–13-0.0413%13 Jul
cache14–160.0118%13 Jul
cache13–5-0.0013%13 Jul
mirage13–3-0.019%12 Jul
ancient13–30.0612%12 Jul
anubis13–30.0210%12 Jul
dust211–4-0.0214%12 Jul
dust23–130.0130%11 Jul
cache3–13-0.0717%11 Jul
cache4–13-0.025%11 Jul
anubis13–4-0.0219%11 Jul
inferno13–90.0116%10 Jul
nuke13–30.099%10 Jul
cache11–13-0.0215%10 Jul
ancient11–130.0611%10 Jul
cache13–9-0.009%8 Jul
anubis13–10-0.005%8 Jul
ancient8–13-0.050%8 Jul
nuke5–13-0.0513%5 Jul
inferno13–3-0.0215%5 Jul
ancient13–8-0.0317%5 Jul
mirage12–160.0413%5 Jul
anubis6–13-0.039%4 Jul
ancient13–90.0811%4 Jul
mirage11–13-0.0427%4 Jul
dust211–13-0.0410%4 Jul
overpass13–110.0011%2 Jul
mirage13–100.045%2 Jul
dust20–6-0.0520%2 Jul
mirage13–10-0.008%2 Jul
anubis5–130.029%2 Jul
dust214–16-0.0115%2 Jul
nuke13–1-0.0323%1 Jul
ancient13–160.028%1 Jul
nuke9–13-0.0124%1 Jul
ancient13–7-0.035%30 Jun
dust216–14-0.033%30 Jun
inferno10–13-0.0418%30 Jun
dust27–130.0222%29 Jun
anubis13–11-0.0312%29 Jun
dust213–10-0.0419%27 Jun
mirage5–13-0.0517%27 Jun
nuke13–40.0714%26 Jun
dust213–100.0919%26 Jun
inferno13–40.0915%25 Jun
dust23–13-0.0410%25 Jun
ancient15–15-0.0211%25 Jun
nuke10–130.048%24 Jun
inferno5–13-0.0614%24 Jun
anubis13–110.0120%24 Jun
dust27–13-0.049%24 Jun
anubis4–13-0.044%23 Jun
dust213–100.0523%23 Jun
nuke7–13-0.0317%23 Jun
ancient16–14-0.039%7 Jun
dust213–110.029%7 Jun
ancient13–80.1012%7 Jun
dust26–13-0.049%7 Jun
inferno13–8-0.0514%13 May
ancient13–90.0712%13 May
overpass13–60.0518%13 May
anubis11–13-0.0122%11 May
ancient13–7-0.0113%11 May
mirage13–8-0.0214%2 May
ancient15–150.0013%2 May
dust213–50.0811%2 May
nuke9–130.0518%2 May
mirage8–13-0.0813%27 Apr
ancient15–150.0114%27 Apr
ancient10–13-0.0613%27 Apr
inferno4–13-0.075%26 Apr
nuke13–80.0821%26 Apr
ancient7–13-0.0114%26 Apr
anubis6–13-0.0518%26 Apr
dust214–160.0114%26 Apr
inferno13–80.0113%25 Apr
ancient11–13-0.018%25 Apr
dust27–13-0.0335%25 Apr
ancient7–130.0113%25 Apr
dust27–13-0.0412%24 Apr
mirage16–140.0313%24 Apr
overpass10–13-0.0420%12 Apr
mirage11–13-0.034%12 Apr
dust24–13-0.0214%12 Apr
ancient13–11-0.0213%12 Apr
mirage4–13-0.0413%21 May
nuke8–13-0.055%21 May
inferno13–8-0.046%21 May

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 →