exposed

exposed — CS2 Stats

GB76561198931710975[U:1:971445247]Steam profile ↗✓ No bans

710Tracked matches72%Win rate2020Tracked since
4,549Hours in CS23Hrs last 2 wks
CSDB Rating7.5 StrongSupport
Premier CS Rating26,598Top 5% of 205,052 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#8390 of 252151 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (11 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: 26,598 +3,646 10 Aug – 5 Oct · 18 days played
22,95226,862peak 26,86210 Aug5 Oct
26,862Peak Premier in tracked matches
45Days played since 2025-05-05

Premier CS Rating

  • 264 below peak (26,862)
  • +246 over 30 days · steady
  • Next: Gold band at 30,000 — 3,402 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-05
  • Pink band first seen 2026-09-05

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 8 among CSDB-tracked players (n=15,088), 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 8 medianLevel 9 medianvs Level 9
Headshot rate47.2%46.8%48.2%1.0% short
Shot accuracy19.0%13.0%13.2%above
Kill/death ratio1.481.061.07above
Match win rate46.5%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGexposedFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,598 · Red 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

Aim81
Positioning59
Utility72

0–100 skill scores via Leetify.

Recent form

HOT60–35–5Last 10060%Win rateWWLWLWWWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +5.2pp headshot accuracy · −59ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 28%
  • Avg reaction 583ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 586ms

Last 20

  • 16–3–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 615ms

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 (+2.5 against its own average).

Aim8.1
Utility7.2
Positioning5.9
Opening Duels3.0
Clutch2.8

Effective flashes

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 92% 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

Strengths

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 606ms 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

Aim8.1
Positioning5.9
Utility7.2
Mechanics6.7
Opening Duels4.2
Win Impact10.0

Composite 7.5/10 (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 rating0.01−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time598ms−41ms
first ⅓ avg 638ms → last ⅓ avg 598ms
Headshot accuracy24.8%−2.3%
first ⅓ avg 27.1% → last ⅓ avg 24.8%

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

0.27Best match rating · 13–1 · mirage, 1 Aug →
56%Best headshot accuracy · 6–7 · nuke, 31 Aug →
414msFastest reaction time · 9–5 · vertigo, 2 Sept →
13–0Biggest win · vertigo, 23 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
6–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 83% over 6ancientWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%0.01
nukeS2417–771%0.02
ancientB115–645%0.01
vertigoS75–271%0.05
cacheS64–267%0.01
infernoS65–183%0.05
dust2B63–350%0.05
train—44–0100%0.01
anubis—42–250%0.01
overpass—20–20%-0.04
office—21–150%0.04
italy—11–0100%0.22
boulder—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

266,346Lifetime kills
1.48K/D · Top 10% of Level 8 players
5,055Matches
46.5%Match win rate · Top 50% of Level 8 players
47.2%Headshot % · Top 50% of Level 8 players
19.0%Shot accuracy · Top 10% of Level 8 players
48,929MVPs
4,252Hours (in match)
4,923Bombs planted
5,214Bombs defused

Most-used weapons

AK-47109,717
AWP42,310
P2503,709
SSG 082,959
SG 5532,136
Knife1,934

Lifetime map wins

12,853inferno
6,537vertigo
6,532train
6,146nuke
5,715dust2
1,982cbble
627lake
549office

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

Faceit stats

Combat

589Matches
54%Win rate
1.44Avg K/D
85.6ADR
49%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3656%1.1116.9
Ancient2245%1.2016.5
Nuke1765%1.2922.9
Dust21450%1.0617.6
Anubis1250%1.3018.1
Inferno1060%1.1818.7
Vertigo633%1.0718.3
Cache367%1.3820.0

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.

26.0%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.8%Spray accuracy
80.1%Counter-strafing
8.6°Preaim
606msReaction time
51.1%T opening success
42.3%CT opening success
0.84Enemies flashed / flash
9.3%Flash assists
7.36HE damage / grenade
12.34Flashes / match

Recommended for you

Spend your practice time on Ancient

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–40.0830%6 Oct →
cache13–70.0937%5 Oct →
ancient4–13-0.0141%5 Oct →
cache16–13-0.0214%5 Oct →
nuke10–13-0.0220%3 Oct →
mirage13–10-0.0224%3 Oct →
ancient13–11-0.0231%30 Sept →
train13–60.0113%26 Sept →
vertigo13–30.0932%26 Sept →
mirage13–4-0.0038%24 Sept →
nuke13–110.0130%21 Sept →
nuke15–15-0.0029%18 Sept →
overpass2–13-0.0518%9 Sept →
nuke13–60.0423%4 Sept →
nuke13–50.0424%4 Sept →
vertigo13–7-0.0029%4 Sept →
nuke13–4-0.0222%4 Sept →
office13–100.0621%4 Sept →
cache7–10.000%4 Sept →
mirage13–3-0.0431%2 Sept →
vertigo9–50.1117%2 Sept →
nuke13–5-0.0221%2 Sept →
nuke6–7-0.0156%31 Aug →
ancient0–13-0.0333%30 Aug →
inferno13–90.0225%29 Aug →
mirage11–13-0.0129%29 Aug →
inferno13–11-0.0223%29 Aug →
nuke13–70.039%29 Aug →
nuke13–60.0725%28 Aug →
anubis3–13-0.0721%28 Aug →
mirage8–13-0.0131%28 Aug →
mirage1–8-0.130%23 Aug →
train13–110.0122%23 Aug →
vertigo13–00.1315%23 Aug →
mirage13–50.0522%16 Aug →
nuke13–50.0228%16 Aug →
train13–5-0.0217%16 Aug →
inferno5–130.0150%15 Aug →
ancient7–130.0225%14 Aug →
mirage13–8-0.0234%14 Aug →
cache8–130.0223%13 Aug →
nuke16–140.0429%13 Aug →
ancient13–90.0627%13 Aug →
mirage13–9-0.0519%12 Aug →
mirage8–130.0425%11 Aug →
ancient13–30.0830%11 Aug →
mirage9–13-0.0138%10 Aug →
inferno13–100.0820%10 Aug →
mirage9–13-0.0120%8 Aug →
nuke13–3-0.0613%8 Aug →
mirage11–130.0729%8 Aug →
dust213–60.0335%8 Aug →
ancient8–130.0122%7 Aug →
nuke13–20.0414%7 Aug →
ancient13–10-0.0024%6 Aug →
nuke13–10.0319%6 Aug →
nuke13–90.0624%6 Aug →
mirage13–100.0736%6 Aug →
italy13–30.2232%6 Aug →
cache6–13-0.0332%6 Aug →
dust213–80.0632%6 Aug →
cache13–5-0.0226%5 Aug →
mirage11–13-0.0213%5 Aug →
nuke13–20.0638%5 Aug →
nuke3–9-0.0543%5 Aug →
mirage12–12-0.0521%4 Aug →
nuke8–30.0115%4 Aug →
mirage13–90.0843%3 Aug →
anubis13–5-0.0119%3 Aug →
office7–130.0133%1 Aug →
mirage1–13-0.0527%1 Aug →
boulder6–13-0.038%1 Aug →
inferno13–00.1534%1 Aug →
ancient4–130.0553%1 Aug →
mirage13–10.2740%1 Aug →
anubis12–120.0417%25 Jul →
inferno13–100.0330%25 Jul →
mirage7–10.0333%25 Jul →
mirage6–13-0.0917%25 Jul →
nuke13–50.1128%24 Jul →
nuke7–13-0.0116%24 Jul →
dust25–13-0.0037%24 Jul →
mirage6–130.0011%24 Jul →
vertigo8–8-0.1538%24 Jul →
dust213–40.2229%24 Jul →
nuke13–11-0.0316%24 Jul →
overpass13–16-0.0325%16 Jul →
vertigo13–10.1233%11 Jul →
dust29–13-0.0124%8 Jul →
mirage8–130.0217%7 Jul →
nuke1–130.0729%7 Jul →
vertigo12–120.0531%3 Jul →
mirage13–50.1027%26 Jun →
nuke10–130.0336%24 Jun →
dust28–13-0.0234%15 Jun →
anubis13–20.0837%2 Jun →
mirage13–60.0224%28 May →
ancient13–50.0522%26 May →
ancient1–13-0.0811%7 May →
train13–60.0416%5 May →

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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