FocusPocus

FocusPocus — CS2 Stats

DE76561199009602662[U:1:1049336934]Steam profile ↗✓ No bans

3,520Tracked matches66%Win rate2020Tracked since
3,926Hours in CS19Hrs last 2 wks
CSDB Rating7.7 StrongSupport
Premier CS Rating25,108Top 25% of 212,133 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#20429 of 259066 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (5 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: 25,108 +3,487 26 Aug – 26 Oct · 20 days played
20,43425,108peak 25,10826 Aug26 Oct
25,108Peak Premier in tracked matches
1,990Highest Faceit ELO seen on CSDB
20Days played since 2026-08-26

Premier CS Rating

  • At peak — 25,108
  • +1,425 over 30 days · improving
  • Next: Gold band at 30,000 — 4,892 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-06
  • Purple band first seen 2026-09-06

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate45.6%49.3%50.9%5.3% short
Shot accuracy11.5%13.4%11.8%0.3% short
Kill/death ratio1.081.121.180.10 short
Match win rate45.4%48.5%51.9%6.5% short

This profile sits below the typical Gold band player on every metric we can compare.

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

Share this profile

CSDB.GGFocusPocusPREMIER25,108 · Red bandPEAK ELO1,990csdb.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

Aim83
Positioning64
Utility70

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateTWWWWLWWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +0.1pp headshot accuracy · −75ms 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 684ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 606ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 643ms

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 (+1.3 against its own average).

Aim8.3
Utility7.0
Positioning6.4
Opening Duels3.5
Clutch6.0

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 88% playstyle similarity

Most alike: utility contribution, positioning 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. 641ms 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

Aim8.3
Positioning6.4
Utility7.0
Mechanics8.1
Opening Duels3.3
Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time629ms+23ms
first ⅓ avg 606ms → last ⅓ avg 629ms
Headshot accuracy23.8%+0.4%
first ⅓ avg 23.3% → last ⅓ avg 23.8%

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

0.17Best match rating · 13–7 · nuke, 15 Sept →
47%Best headshot accuracy · 13–9 · cache, 4 Oct →
438msFastest reaction time · 13–8 · dust2, 21 Oct →
13–3Biggest win · ancient, 6 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B2513–1252%0.01
mirageB2111–1052%0.04
infernoC156–940%0.04
ancientA127–558%0.03
cacheA116–555%0.02
nukeS86–275%0.05
anubisS86–275%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

91,738Lifetime kills
1.08K/D
3,997Matches
45.4%Match win rate
45.6%Headshot %
11.5%Shot accuracy
9,744MVPs
2,251Hours (in match)
4,383Bombs planted
1,302Bombs defused

Most-used weapons

Lifetime map wins

6,757dust2
5,638inferno
3,968nuke
2,946vertigo
1,007train
74office
9italy

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

Faceit stats

Combat

860Matches
53%Win rate
1.30Avg K/D
80.1ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage7654%1.3617.3
Anubis7364%1.3517.6
Vertigo5448%1.1316.7
Ancient4360%1.3517.7
Nuke2733%1.1417.1
Inferno2442%1.1518.3
Dust22343%1.2316.1
Overpass2255%1.0815.7

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.

23.7%Headshot accuracy
35.5%Accuracy (enemy spotted)
43.2%Spray accuracy
86.6%Counter-strafing
8.7°Preaim
641msReaction time
49.3%T opening success
37.4%CT opening success
0.56Enemies flashed / flash
10.3%Flash assists
15.06HE damage / grenade
11.28Flashes / 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

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

    CT opening duels 37.415% — 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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–120.0321%26 Oct →
mirage13–11-0.0018%26 Oct →
nuke13–90.0823%26 Oct →
inferno13–80.0229%26 Oct →
dust213–60.0121%26 Oct →
dust211–130.0224%21 Oct →
dust213–8-0.0039%21 Oct →
dust213–90.0513%21 Oct →
anubis13–110.0322%21 Oct →
mirage9–130.0119%21 Oct →
nuke10–130.0418%21 Oct →
nuke13–110.0323%21 Oct →
inferno13–70.0442%19 Oct →
ancient13–90.0219%19 Oct →
inferno8–130.0121%19 Oct →
cache13–70.0424%19 Oct →
ancient10–130.0224%10 Oct →
nuke13–5-0.0121%10 Oct →
inferno10–130.0424%9 Oct →
inferno13–40.0813%9 Oct →
ancient13–110.0028%9 Oct →
dust213–100.0738%9 Oct →
dust213–80.0028%7 Oct →
inferno6–130.0418%6 Oct →
inferno8–130.0014%6 Oct →
ancient4–13-0.0515%6 Oct →
ancient13–30.1012%6 Oct →
cache13–9-0.0447%4 Oct →
mirage10–130.0225%19 Sept →
nuke13–60.0122%19 Sept →
anubis13–7-0.0530%19 Sept →
ancient7–130.1127%18 Sept →
dust213–100.0323%18 Sept →
mirage11–130.0227%18 Sept →
dust29–130.0434%18 Sept →
dust24–13-0.0131%18 Sept →
anubis16–130.0418%18 Sept →
dust213–50.0823%18 Sept →
dust213–11-0.0227%18 Sept →
inferno6–13-0.0216%18 Sept →
mirage6–13-0.0235%17 Sept →
dust23–130.0530%17 Sept →
dust25–130.0036%17 Sept →
ancient13–100.0431%17 Sept →
dust26–13-0.0521%17 Sept →
anubis13–110.0223%17 Sept →
dust27–13-0.0127%17 Sept →
anubis13–70.0534%17 Sept →
dust23–13-0.0538%17 Sept →
cache2–8-0.0512%17 Sept →
inferno7–13-0.0821%17 Sept →
mirage13–60.0419%17 Sept →
mirage13–40.0624%17 Sept →
dust213–11-0.0228%17 Sept →
mirage13–100.0921%16 Sept →
ancient7–130.0121%16 Sept →
inferno13–60.1318%16 Sept →
dust213–110.0126%16 Sept →
cache6–130.0117%16 Sept →
mirage15–150.0722%16 Sept →
mirage13–90.0620%15 Sept →
dust27–13-0.0328%15 Sept →
nuke13–70.1738%15 Sept →
mirage13–80.0340%15 Sept →
dust24–13-0.0824%2 Sept →
mirage1–13-0.1218%2 Sept →
ancient13–7-0.0519%31 Aug →
mirage14–160.0330%31 Aug →
inferno13–80.0828%31 Aug →
mirage7–130.0514%31 Aug →
dust216–140.0518%31 Aug →
inferno8–13-0.0829%31 Aug →
cache13–80.0137%31 Aug →
mirage13–30.0825%31 Aug →
mirage13–90.1038%31 Aug →
mirage9–13-0.0214%30 Aug →
mirage13–70.1321%30 Aug →
dust25–130.0128%29 Aug →
anubis13–110.0218%29 Aug →
ancient7–13-0.0026%29 Aug →
cache13–90.0522%29 Aug →
anubis15–150.0523%29 Aug →
nuke13–60.1120%29 Aug →
inferno11–130.0620%29 Aug →
dust213–110.0925%29 Aug →
cache7–13-0.0827%28 Aug →
mirage13–30.0913%28 Aug →
inferno13–50.1221%28 Aug →
dust213–50.0734%28 Aug →
cache13–90.0918%28 Aug →
mirage13–60.0918%27 Aug →
mirage11–130.0719%27 Aug →
inferno12–160.1227%27 Aug →
nuke8–13-0.0322%27 Aug →
cache8–130.0728%27 Aug →
ancient13–110.1029%27 Aug →
anubis7–130.0022%27 Aug →
cache16–120.1226%26 Aug →
ancient13–60.1113%26 Aug →
dust26–130.0018%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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.