POKKI >:)

POKKI >:) — CS2 Stats

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

2,070Tracked matches38%Win rate2020Tracked since
CSDB Rating3.6 LearningPositional Player
Premier CS Rating17,497Purple band · top ~18.5% of ranked players (population est.)
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 28 Oct 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: 17,497 -1,355 26 Aug – 28 Oct · 35 days played
16,98020,000peak 20,00026 Aug28 Oct
20,115Peak Premier in tracked matches
31Days played since 2026-08-26

Premier CS Rating

  • 2,503 below peak (20,000)
  • -2,503 over 30 days · declining
  • Next: Pink band at 20,000 — 2,503 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 rankedPREMIER17,497 · Purple bandcsdb.gg/stats

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Performance scores

Aim46
Positioning44
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLWLLWWWLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +2.0pp headshot accuracy · +11ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 602ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 580ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 574ms

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 (+1.8 against its own average).

Aim4.6
Utility3.4
Positioning4.4
Opening Duels0.0

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

iM

Plays most like iM 82% 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

Areas to improve

CT openings. Opening success drops from 40% on T to 19% on CT — first contacts on the defending side are being lost.

Reaction time. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim4.6
Positioning4.4
Utility3.4
Mechanics3.8
Opening Duels1.2
Win Impact1.0

Composite 3.6/10 (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-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time583ms−68ms
first ⅓ avg 651ms → last ⅓ avg 583ms
Headshot accuracy13.1%−0.4%
first ⅓ avg 13.5% → last ⅓ avg 13.1%

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 · 13–0 · mirage, 25 Oct →
32%Best headshot accuracy · 5–13 · cache, 3 Oct →
438msFastest reaction time · 16–14 · anubis, 15 Oct →
13–0Biggest win · mirage, 25 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–8In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 65% over 17infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C207–1335%-0.04
mirageS1711–665%-0.02
cacheC166–1038%-0.04
ancientB158–753%-0.04
nukeA148–657%-0.04
infernoD102–820%-0.05
anubisC83–538%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno 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.

13.5%Headshot accuracy
33.1%Accuracy (enemy spotted)
35.0%Spray accuracy
67.2%Counter-strafing
11.2°Preaim
578msReaction time
39.7%T opening success
18.9%CT opening success
0.49Enemies flashed / flash
2.5%Flash assists
7.06HE damage / grenade
4.83Flashes / 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 13.4943% — 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 0.4885 — 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 39.6903% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0411%28 Oct →
nuke16–13-0.0012%28 Oct →
cache11–13-0.0612%25 Oct →
dust210–13-0.0620%25 Oct →
mirage13–00.139%25 Oct →
nuke13–11-0.0418%22 Oct →
dust213–50.0517%22 Oct →
inferno6–13-0.063%22 Oct →
dust24–13-0.0516%21 Oct →
dust26–13-0.0524%21 Oct →
cache13–100.0115%18 Oct →
nuke13–8-0.027%18 Oct →
mirage13–110.0216%18 Oct →
ancient5–13-0.0416%17 Oct →
anubis15–15-0.0215%17 Oct →
cache13–50.0317%17 Oct →
inferno10–13-0.038%15 Oct →
anubis16–140.0111%15 Oct →
cache13–4-0.019%15 Oct →
ancient13–160.0110%14 Oct →
inferno7–13-0.0711%14 Oct →
nuke7–13-0.126%11 Oct →
inferno10–13-0.0115%11 Oct →
inferno13–5-0.0212%11 Oct →
ancient11–13-0.0617%10 Oct →
inferno8–13-0.073%10 Oct →
nuke9–13-0.0415%10 Oct →
cache9–13-0.0521%10 Oct →
anubis13–16-0.0012%8 Oct →
anubis13–16-0.0421%8 Oct →
ancient11–13-0.065%7 Oct →
dust213–5-0.0714%7 Oct →
nuke13–7-0.0214%3 Oct →
cache5–13-0.1132%3 Oct →
ancient13–10.0117%3 Oct →
mirage13–3-0.018%3 Oct →
inferno14–16-0.0211%1 Oct →
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 →

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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