Distraction

Distraction — CS2 Stats

GB76561198052667842[U:1:92402114]Steam profile ↗✓ No bans

898Tracked matches46%Win rate2020Tracked since
3,684Hours in CS48Hrs last 2 wks
CSDB Rating5.1 DevelopingSupport
Premier CS Rating14,542Blue band · top ~30.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (3 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: 14,542 +3,278 17 Aug – 13 Oct · 19 days played
10,26014,542peak 14,54217 Aug13 Oct
14,542Peak Premier in tracked matches
30Days played since 2024-08-17

Premier CS Rating

  • At peak — 14,542
  • Next: Purple band at 15,000 — 458 to go
  • Reached: 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 Level 4 among CSDB-tracked players (n=14,290), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate59.1%42.7%43.7%above
Shot accuracy17.7%11.3%12.0%above
Kill/death ratio1.340.991.02above
Match win rate29.4%43.9%44.7%15.3% short

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDistractionFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,542 · Blue 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

Aim54
Positioning54
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY39–56–5Last 10039%Win rateWWWLLLWLWL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −2.5pp headshot accuracy · +47ms reaction

Win rate up 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 622ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 596ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 573ms

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 (+2 against its own average).

Aim5.4
Utility6.0
Positioning5.4
Opening Duels0.5

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 71% 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

Reaction time. 590ms 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

Aim5.4
Positioning5.4
Utility6.0
Mechanics7.2
Opening Duels3.2
Win Impact3.8

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time588ms−77ms
first ⅓ avg 665ms → last ⅓ avg 588ms
Headshot accuracy11.3%−7.3%
first ⅓ avg 18.6% → last ⅓ avg 11.3%

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 · 2–6 · rush_001, 1 Oct →
50%Best headshot accuracy · 7–1 · inferno, 21 Aug →
461msFastest reaction time · 8–13 · anubis, 9 Oct →
13–2Biggest win · anubis, 1 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
6–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 50% over 12nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C177–1041%-0.03
anubisC166–1038%-0.03
cacheB157–847%-0.02
infernoB126–650%-0.04
ancientC125–742%0.01
nukeD81–713%-0.01
mirageC73–443%-0.03
vertigoB63–350%-0.02
trainD51–420%-0.04
rush_001—20–20%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

128,448Lifetime kills
1.34K/D · Top 10% of Level 4 players
3,925Matches
29.4%Match win rate
59.1%Headshot % · Top 5% of Level 4 players
17.7%Shot accuracy · Top 25% of Level 4 players
4,843MVPs
1,402Hours (in match)
2,674Bombs planted
620Bombs defused

Most-used weapons

AK-4763,220
AWP4,913
FAMAS3,479
P2501,597
MAC-101,296

Lifetime map wins

4,998inferno
1,799vertigo
1,753nuke
1,509dust2
1,387train
706cbble
326office
18lake

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

Faceit stats

Combat

237Matches
52%Win rate
0.94Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

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.

11.3%Headshot accuracy
30.8%Accuracy (enemy spotted)
33.8%Spray accuracy
82.3%Counter-strafing
9.8°Preaim
590msReaction time
49.1%T opening success
36.2%CT opening success
0.66Enemies flashed / flash
8.6%Flash assists
9.14HE damage / grenade
8.32Flashes / 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 11.2693% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 36.1689% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0323%13 Oct →
cache13–7-0.0711%13 Oct →
cache13–8-0.0513%13 Oct →
anubis11–13-0.061%13 Oct →
inferno1–13-0.070%13 Oct →
dust26–13-0.0714%13 Oct →
vertigo13–11-0.098%11 Oct →
dust210–13-0.0111%11 Oct →
ancient13–70.0211%11 Oct →
anubis6–13-0.079%11 Oct →
cache10–13-0.0122%11 Oct →
cache12–60.0719%11 Oct →
ancient8–13-0.076%11 Oct →
cache6–13-0.087%11 Oct →
dust213–9-0.0115%10 Oct →
inferno15–15-0.053%10 Oct →
ancient11–13-0.0110%9 Oct →
cache13–90.0019%9 Oct →
anubis8–13-0.0312%9 Oct →
anubis5–13-0.0413%9 Oct →
ancient13–7-0.014%9 Oct →
cache13–16-0.0614%9 Oct →
anubis13–11-0.0813%9 Oct →
cache15–150.0214%5 Oct →
nuke13–7-0.026%5 Oct →
cache11–130.0120%5 Oct →
cache10–13-0.074%2 Oct →
cache13–8-0.0512%2 Oct →
anubis13–4-0.0610%1 Oct →
dust210–13-0.0011%1 Oct →
anubis13–20.0410%1 Oct →
dust27–13-0.0517%1 Oct →
dust29–130.0310%1 Oct →
rush_0012–60.1527%1 Oct →
rush_0011–5-0.1225%30 Sept →
inferno13–6-0.0213%30 Sept →
cache11–130.027%30 Sept →
mirage13–70.0411%30 Sept →
mirage13–10-0.0711%30 Sept →
nuke9–13-0.0416%29 Sept →
mirage7–13-0.0623%27 Sept →
dust211–13-0.0410%27 Sept →
anubis8–13-0.108%27 Sept →
dust213–10-0.0427%27 Sept →
dust213–9-0.0717%27 Sept →
inferno13–8-0.0411%26 Sept →
ancient11–13-0.0312%26 Sept →
anubis11–13-0.0410%25 Sept →
cache13–10-0.0621%25 Sept →
dust26–13-0.0616%25 Sept →
ancient10–130.0920%24 Sept →
mirage10–13-0.0311%24 Sept →
anubis4–13-0.0513%24 Sept →
cache10–13-0.0318%24 Sept →
ancient6–13-0.097%24 Sept →
dust25–13-0.1012%17 Sept →
mirage10–13-0.0713%17 Sept →
dust24–13-0.0422%17 Sept →
anubis7–13-0.0630%31 Aug →
dust213–110.0116%31 Aug →
cache13–6-0.0314%31 Aug →
ancient13–110.0123%24 Aug →
dust215–15-0.0710%24 Aug →
vertigo11–13-0.0318%19 Mar →
train7–13-0.0114%19 Nov →
train7–13-0.0616%18 Nov →
train7–13-0.0817%18 Nov →
train13–4-0.0317%18 Nov →
train7–13-0.0312%18 Nov →
ancient8–130.0818%21 Oct →
nuke12–160.0115%20 Oct →
nuke6–130.0116%17 Oct →
anubis13–110.1015%17 Oct →
inferno4–13-0.0913%27 Sept →
nuke7–13-0.0116%26 Sept →
vertigo6–13-0.0712%26 Sept →
nuke5–13-0.0516%26 Sept →
inferno5–13-0.1020%24 Sept →
anubis14–16-0.0329%24 Sept →
dust213–90.0123%24 Sept →
ancient16–140.0621%24 Sept →
vertigo4–13-0.0711%24 Sept →
dust216–12-0.0124%13 Sept →
vertigo16–130.0015%13 Sept →
inferno10–13-0.0212%6 Sept →
nuke15–150.0129%6 Sept →
inferno13–100.0318%23 Aug →
ancient13–70.0830%23 Aug →
inferno13–50.0518%23 Aug →
vertigo13–40.1417%23 Aug →
inferno13–10-0.0120%23 Aug →
mirage12–12-0.0012%23 Aug →
anubis13–16-0.0510%21 Aug →
anubis13–70.0216%21 Aug →
inferno7–1-0.0850%21 Aug →
inferno8–13-0.0616%17 Aug →
nuke11–13-0.0421%17 Aug →
anubis13–30.0118%17 Aug →
ancient11–13-0.0417%17 Aug →
dust213–8-0.0215%17 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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