doc_0c

doc_0c — CS2 Stats

US76561198083796676[U:1:123530948]Steam profile ↗✓ No bans

517Tracked matches47%Win rate2020Tracked since
3,362Hours in CS
CSDB Rating5.8 SolidSupport
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 62 days played since 9 Aug 2024. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 11,884 -117 9 Nov12 Nov · 2 days played
11,88412,001peak 12,0019 Nov12 Nov
12,001Peak Premier in tracked matches
62Days played since 2024-08-09

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 13 Sep 2026 and 19 Sep 2026.

Measured 13 Sep 202619 Sep 2026; previous 3 Sep 2026 → 13 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=12,543), 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 7 medianLevel 8 medianvs Level 8
Headshot rate2.3%45.7%46.8%44.5% short
Shot accuracy22.1%12.7%13.0%above
Kill/death ratio0.901.051.060.16 short
Match win rate37.2%45.7%46.3%9.1% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGdoc_0cFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning45
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateLWWWLLLWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +4.7pp headshot accuracy · −23ms 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

  • 32 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 597ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 574ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 585ms

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: SupportUtility contribution stands above the rest of this profile (+3.3 against its own average).

Aim7.5
Utility6.9
Positioning4.5
Opening Duels1.1
Clutch1.8

Strong T-side opener

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 88% 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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Reaction time. 578ms 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

Aim7.5
Positioning4.5
Utility6.9
Mechanics8.1
Opening Duels0.4
Win Impact3.9

Composite 5.8/10 (Solid), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time582ms−73ms
first ⅓ avg 655ms → last ⅓ avg 582ms
Headshot accuracy20.1%−0.2%
first ⅓ avg 20.3% → last ⅓ avg 20.1%

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

0.16Best match rating · 5–0 · alpine, 31 Jan
45%Best headshot accuracy · 8–8 · inferno, 28 May
391msFastest reaction time · 8–8 · inferno, 28 May
13–1Biggest win · ancient, 18 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
811In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 67% over 9infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
ancientA2214864%-0.01
infernoD1651131%-0.03
anubisB168850%-0.02
cacheC145936%-0.04
dust2C135838%-0.02
mirageS96367%-0.02
nuke42250%-0.04
office110100%0.06
eldorado1010%-0.08
debris110100%0.06
overpass1010%0.03
poseidon1010%-0.08
alpine110100%0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,282,999Lifetime kills
0.90K/D
13,470Matches
37.2%Match win rate
2.3%Headshot %
22.1%Shot accuracy · Top 1% of Level 7 players
14,566MVPs
3,362Hours (in match)
7,737Bombs planted
2,456Bombs defused

Most-used weapons

MAG-72,109,050
Nova42,501
AK-4731,605
AWP11,924
P2508,057
P904,561

Lifetime map wins

10,358inferno
8,802dust2
3,434nuke
2,623train
1,760cbble
589office
559vertigo
186italy

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

Faceit stats

Combat

536Matches
55%Win rate
1.09Avg K/D
64.3ADR
45%Headshot %

Clutches & streaks

29%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient5564%0.9213.4
Anubis4848%0.7712.0
Cache4248%0.8512.6
Inferno3560%0.8913.1
Nuke2650%0.8412.7
Dust22532%0.7312.2
Mirage2143%0.8513.9
Overpass825%0.9313.3

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.

19.9%Headshot accuracy
35.9%Accuracy (enemy spotted)
37.7%Spray accuracy
86.3%Counter-strafing
11.2°Preaim
578msReaction time
33.0%T opening success
24.0%CT opening success
0.68Enemies flashed / flash
10.0%Flash assists
10.54HE damage / grenade
11.01Flashes / 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

    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 33.0469% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0528%6 Sept
mirage19–15-0.0520%6 Sept
mirage13–10-0.0334%6 Sept
inferno13–10-0.0323%5 Sept
cache11–13-0.0710%5 Sept
cache8–13-0.0511%4 Sept
mirage1–13-0.0827%4 Sept
office13–70.0619%3 Sept
inferno9–20.0521%28 Aug
anubis10–13-0.0122%27 Aug
inferno9–13-0.0129%26 Aug
inferno13–160.0323%24 Aug
dust214–160.0016%19 Aug
nuke13–3-0.0215%19 Aug
ancient13–10.0515%18 Aug
ancient7–13-0.0221%16 Aug
ancient13–80.0118%15 Aug
anubis13–70.0013%15 Aug
dust28–13-0.069%15 Aug
anubis14–16-0.039%15 Aug
dust214–16-0.0329%15 Aug
ancient13–70.0126%14 Aug
cache6–13-0.0424%13 Aug
ancient13–3-0.0519%13 Aug
cache13–6-0.0227%12 Aug
anubis16–14-0.0218%11 Aug
ancient16–14-0.0214%8 Aug
cache8–13-0.0012%7 Aug
anubis7–13-0.0917%6 Aug
cache8–130.0331%30 Jul
ancient13–90.0224%30 Jul
cache13–6-0.0313%30 Jul
inferno9–13-0.0227%29 Jul
ancient10–13-0.0622%29 Jul
anubis5–13-0.1211%28 Jul
ancient6–130.0114%24 Jul
cache6–13-0.1116%22 Jul
inferno13–11-0.0327%21 Jul
nuke13–7-0.0513%21 Jul
anubis13–11-0.0823%20 Jul
cache3–13-0.0925%17 Jul
anubis6–130.0216%17 Jul
anubis9–13-0.068%16 Jul
ancient13–8-0.0729%15 Jul
anubis10–13-0.0515%13 Jul
inferno6–13-0.0212%12 Jul
dust213–50.0421%12 Jul
cache13–5-0.0325%12 Jul
mirage13–8-0.0117%11 Jul
cache13–4-0.0524%11 Jul
mirage13–4-0.0133%11 Jul
inferno11–13-0.0611%10 Jul
inferno13–6-0.040%9 Jul
eldorado3–9-0.0829%9 Jul
debris9–60.0611%9 Jul
ancient13–6-0.0113%3 Jul
nuke10–13-0.0430%2 Jul
anubis13–8-0.016%30 Jun
ancient13–11-0.0223%29 Jun
anubis7–13-0.0619%28 Jun
mirage9–13-0.0211%23 Jun
dust211–13-0.0424%23 Jun
inferno1–13-0.0815%19 Jun
ancient14–16-0.035%19 Jun
overpass10–130.0330%16 Jun
mirage13–30.0344%16 Jun
inferno16–140.0223%16 Jun
ancient13–40.0610%11 Jun
anubis13–5-0.0213%7 Jun
ancient8–13-0.0424%31 May
dust27–13-0.1017%31 May
inferno5–13-0.1219%31 May
dust213–8-0.0017%31 May
dust213–90.0515%31 May
ancient13–8-0.0419%31 May
anubis13–90.0521%30 May
anubis13–30.0614%30 May
cache11–13-0.0516%29 May
dust29–13-0.0614%29 May
poseidon7–9-0.088%29 May
inferno8–80.0045%28 May
inferno4–9-0.1215%28 May
cache11–13-0.0629%28 May
dust28–13-0.0328%27 May
ancient22–19-0.0214%25 May
anubis19–160.0115%24 May
dust216–14-0.0124%8 May
inferno14–16-0.0316%30 Apr
mirage13–7-0.0332%28 Apr
cache13–80.0420%28 Apr
ancient10–13-0.0030%26 Apr
mirage12–120.0431%20 Feb
ancient13–10-0.0527%31 Jan
alpine5–00.1617%31 Jan
dust213–11-0.0013%29 Aug
dust27–13-0.0110%29 Aug
nuke7–13-0.0533%12 Nov
ancient15–150.0421%9 Nov
ancient13–5-0.0020%30 Aug
ancient9–130.0321%9 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 →