POKKI >:)

POKKI >:) — CS2 Stats

GB76561198202743917[U:1:242478189]Steam profile ↗✓ No bans

2,033Tracked matches57%Win rate2020Tracked since
CSDB Rating3.5 LearningSupport
Premier CS Rating19,391Top 50% of 200,982 CSDB-tracked playersPurple band · top ~10.9% of ranked players (population est.)
CSDB Leaderboard#89714 of 247877 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+51Premier CS Rating · 19,340 → 19,391

Rating over time

Premier CS Rating: 19,391 -495 8 Aug – 1 Oct · 29 days played
17,36620,114peak 20,1148 Aug1 Oct
20,536Peak Premier in tracked matches
27Days played since 2026-08-08

Premier CS Rating

  • 723 below peak (20,114)
  • +600 over 30 days · improving
  • Next: Pink band at 20,000 — 609 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-29
  • Purple band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGPOKKI >:)FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER19,391 · Purple bandcsdb.gg/stats

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Performance scores

Aim37
Positioning30
Utility40

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateTLLLLWTWLL

Last 10 vs previous 10: −60pp win rate · −0.03 avg rating · +0.7pp headshot accuracy · +52ms reaction

Win rate down 60pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 14%
  • Avg reaction 609ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 641ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 616ms

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 (+1.7 against its own average).

Aim3.7
Utility4.0
Positioning3.0
Opening Duels0.0

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 75% 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. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.7
Positioning3.0
Utility4.0
Mechanics3.2
Opening Duels0.0
Win Impact7.4

Composite 3.5/10 (Learning), 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 rating-0.05−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time611ms−24ms
first ⅓ avg 634ms → last ⅓ avg 611ms
Headshot accuracy13.4%−0.9%
first ⅓ avg 14.3% → last ⅓ avg 13.4%

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

0.04Best match rating · 13–6 · cache, 19 Aug →
34%Best headshot accuracy · 13–7 · ancient, 15 Aug →
438msFastest reaction time · 7–13 · inferno, 15 Aug →
13–1Biggest win · ancient, 13 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 57% over 7dust2Weakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D216–1529%-0.04
ancientB2110–1148%-0.04
mirageA2011–955%-0.04
cacheD155–1033%-0.03
nukeB115–645%-0.04
infernoA74–357%-0.05
anubisC52–340%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.0%Headshot accuracy
30.8%Accuracy (enemy spotted)
34.8%Spray accuracy
64.3%Counter-strafing
11.1°Preaim
609msReaction time
14.6%T opening success
22.4%CT opening success
0.50Enemies flashed / flash
5.5%Flash assists
7.58HE damage / grenade
6.26Flashes / 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 12.9728% — below the 15% mark we flag

    Aim Training →
  2. 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 14.6067% — 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 21 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
mirage15–15-0.0515%1 Oct →
nuke10–13-0.0415%30 Sept →
dust24–13-0.1013%30 Sept →
cache4–13-0.0813%30 Sept →
cache4–13-0.0714%27 Sept →
mirage13–9-0.032%27 Sept →
mirage15–15-0.0617%27 Sept →
nuke13–40.0012%27 Sept →
inferno9–13-0.0713%24 Sept →
dust26–13-0.0621%24 Sept →
cache8–13-0.0316%24 Sept →
nuke13–8-0.029%24 Sept →
nuke13–11-0.0314%23 Sept →
dust213–6-0.017%23 Sept →
anubis13–110.019%23 Sept →
ancient13–2-0.0321%20 Sept →
cache13–3-0.047%20 Sept →
mirage13–5-0.0223%20 Sept →
inferno13–9-0.0613%20 Sept →
dust211–13-0.079%17 Sept →
ancient8–13-0.0715%17 Sept →
anubis7–13-0.0212%17 Sept →
dust216–12-0.0217%17 Sept →
nuke13–16-0.0712%16 Sept →
mirage6–00.0216%16 Sept →
mirage1–13-0.114%16 Sept →
ancient13–11-0.058%16 Sept →
dust213–4-0.0015%16 Sept →
mirage13–11-0.0812%13 Sept →
ancient13–9-0.0716%13 Sept →
ancient13–1-0.055%13 Sept →
dust25–13-0.0927%13 Sept →
inferno8–13-0.0919%10 Sept →
anubis13–50.0016%10 Sept →
mirage6–13-0.0120%10 Sept →
mirage16–14-0.0618%9 Sept →
cache13–20.0413%9 Sept →
mirage13–8-0.0712%9 Sept →
dust211–13-0.045%9 Sept →
dust26–13-0.0614%7 Sept →
mirage9–13-0.0415%7 Sept →
anubis1–13-0.0610%7 Sept →
cache6–13-0.1018%7 Sept →
cache5–13-0.0816%6 Sept →
dust216–12-0.0118%6 Sept →
ancient8–13-0.0726%6 Sept →
cache13–100.0319%5 Sept →
nuke11–13-0.1011%5 Sept →
ancient13–4-0.0112%5 Sept →
dust213–50.039%5 Sept →
mirage13–70.0112%5 Sept →
dust29–130.018%5 Sept →
ancient13–11-0.0116%3 Sept →
mirage2–13-0.0412%3 Sept →
dust210–13-0.059%3 Sept →
dust27–13-0.086%3 Sept →
dust213–16-0.0314%29 Aug →
nuke8–13-0.066%29 Aug →
ancient15–15-0.0111%29 Aug →
cache14–16-0.0216%27 Aug →
nuke13–80.0319%27 Aug →
mirage13–11-0.0110%27 Aug →
ancient13–4-0.064%26 Aug →
mirage11–13-0.0425%26 Aug →
ancient12–16-0.0416%26 Aug →
inferno13–6-0.037%23 Aug →
mirage14–16-0.0411%23 Aug →
dust24–13-0.0519%20 Aug →
nuke3–13-0.0128%20 Aug →
mirage11–13-0.0613%20 Aug →
cache6–13-0.0216%20 Aug →
cache13–60.0415%19 Aug →
mirage13–8-0.0217%19 Aug →
ancient7–13-0.0414%19 Aug →
nuke10–13-0.039%16 Aug →
inferno13–10-0.0612%16 Aug →
ancient10–130.0114%16 Aug →
inferno7–13-0.0616%15 Aug →
ancient1–13-0.1113%15 Aug →
dust29–13-0.0815%15 Aug →
ancient13–7-0.0334%15 Aug →
cache13–1-0.0226%15 Aug →
nuke13–11-0.068%15 Aug →
dust26–13-0.0713%15 Aug →
ancient4–13-0.0710%13 Aug →
inferno13–90.0025%13 Aug →
mirage13–8-0.046%13 Aug →
ancient2–13-0.0215%13 Aug →
cache10–130.018%13 Aug →
ancient13–9-0.028%12 Aug →
dust27–13-0.0418%12 Aug →
cache8–130.019%12 Aug →
mirage13–7-0.0718%9 Aug →
ancient13–8-0.0212%9 Aug →
dust213–8-0.0311%9 Aug →
cache13–16-0.0615%9 Aug →
ancient12–16-0.0211%8 Aug →
anubis11–13-0.048%8 Aug →
dust29–130.016%8 Aug →
ancient4–13-0.086%8 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 →

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