sim1

sim1 — CS2 Stats

NO76561198113306367[U:1:153040639]Steam profile ↗✓ No bans

1,727Tracked matches47%Win rate2020Tracked since
7,561Hours in CS40Hrs last 2 wks
CSDB Rating5.5 SolidSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

+46Tracked matches · now 1,727
−3.3ppWin rate · 50.0% → 46.7%

Rating over time

Premier CS Rating: 26,201 -151 29 Jul – 23 Sept · 8 days played
26,20126,669peak 26,66929 Jul23 Sept
Faceit ELO: 2,056 +0 20 Sept – 28 Oct · 3 observations
2,0562,056peak 2,05620 Sept28 Oct
26,915Peak Premier in tracked matches
2,056Highest Faceit ELO seen on CSDB
47Days played since 2026-07-29

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 Level 10 among CSDB-tracked players (n=31,884), 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 10 median
Headshot rate51.6%50.9%
Shot accuracy15.3%13.7%
Kill/death ratio1.131.09
Match win rate48.0%48.4%

Share this profile

CSDB.GGsim1FACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,056csdb.gg/stats

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Performance scores

Aim74
Positioning41
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLLWWWWLWLW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · +1.0pp headshot accuracy · +38ms reaction

Win rate up 40pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 605ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 587ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 568ms

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 (+2.3 against its own average).

Aim7.4
Utility5.9
Positioning4.1
Opening Duels0.6
Clutch3.8

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.

Where you differ: lower aim profile; lower opening-duel success.

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 33 points — deaths here waste a strong aim profile.

Reaction time. 552ms 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

Aim7.4
Positioning4.1
Utility5.9
Mechanics6.7
Opening Duels1.6
Win Impact3.9

Composite 5.5/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time555ms−54ms
first ⅓ avg 609ms → last ⅓ avg 555ms
Headshot accuracy14.4%−3.1%
first ⅓ avg 17.5% → last ⅓ avg 14.4%

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

0.08Best match rating · 13–2 · dust2, 4 Aug →
36%Best headshot accuracy · 13–8 · nuke, 13 Sept →
391msFastest reaction time · 2–11 · mirage, 14 Aug →
13–2Biggest win · dust2, 4 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
10–11In matches decided by ≤2 rounds
18Overtime games

Map breakdown

anubisBest map · 70% over 10infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2110–1148%-0.03
cacheA1811–761%-0.01
dust2C167–944%-0.02
ancientC146–843%-0.00
nukeA127–558%-0.02
anubisS107–370%-0.01
infernoD93–633%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

173,006Lifetime kills
1.13K/D · Top 50% of Level 10 players
6,531Matches
48.0%Match win rate
51.6%Headshot % · Top 50% of Level 10 players
15.3%Shot accuracy · Top 50% of Level 10 players
15,489MVPs
3,600Hours (in match)
7,077Bombs planted
1,981Bombs defused

Most-used weapons

AK-4784,022
AWP14,230
FAMAS2,632
Knife2,500
Tec-91,491

Lifetime map wins

10,222dust2
5,513nuke
5,360inferno
4,546train
3,740cbble
328vertigo
81dust
49office

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

Faceit stats

Combat

2,727Matches
52%Win rate
0.95Avg K/D
77.8ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
14Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage27352%1.0315.2
Anubis15848%0.9915.1
Ancient15546%0.9415.3
Nuke10357%1.0616.6
Dust29448%1.0114.8
Cache8569%1.0615.6
Inferno4045%0.8112.9
Overpass2348%0.9914.9

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.

14.0%Headshot accuracy
38.1%Accuracy (enemy spotted)
43.0%Spray accuracy
80.0%Counter-strafing
10.7°Preaim
552msReaction time
33.1%T opening success
39.4%CT opening success
0.66Enemies flashed / flash
9.1%Flash assists
8.53HE damage / grenade
7.62Flashes / 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 14.0066% — below the 15% mark we flag

    Aim Training →
  2. 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 33.0838% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0410%10 Nov →
inferno11–13-0.047%10 Nov →
mirage13–10-0.0417%10 Nov →
cache13–7-0.0119%10 Nov →
mirage13–30.0317%6 Nov →
mirage13–10-0.0412%5 Nov →
nuke13–16-0.0610%4 Nov →
mirage16–13-0.0018%4 Nov →
cache2–130.0025%4 Nov →
dust213–9-0.0513%4 Nov →
ancient8–13-0.0312%4 Nov →
mirage11–13-0.0710%4 Nov →
dust29–13-0.0610%2 Nov →
inferno7–13-0.0410%2 Nov →
mirage8–13-0.0721%29 Oct →
anubis4–13-0.0617%27 Oct →
mirage13–16-0.076%20 Oct →
nuke19–16-0.0216%20 Oct →
mirage13–70.0619%20 Oct →
nuke11–13-0.0216%12 Oct →
cache2–13-0.0316%12 Oct →
nuke16–13-0.0016%8 Oct →
dust211–13-0.048%8 Oct →
mirage3–13-0.0519%8 Oct →
cache13–100.036%8 Oct →
nuke13–160.0120%5 Oct →
ancient13–60.0414%5 Oct →
cache13–80.0113%3 Oct →
mirage13–4-0.0321%2 Oct →
dust213–9-0.0410%30 Sept →
inferno8–13-0.0317%29 Sept →
cache11–13-0.0814%27 Sept →
ancient12–16-0.0516%26 Sept →
mirage4–13-0.056%26 Sept →
cache13–6-0.0111%25 Sept →
ancient6–130.033%25 Sept →
nuke16–13-0.0521%25 Sept →
ancient13–100.0117%25 Sept →
inferno3–13-0.107%23 Sept →
ancient13–110.0115%23 Sept →
cache13–10-0.0512%23 Sept →
anubis13–4-0.019%21 Sept →
ancient4–13-0.0413%14 Sept →
cache13–90.0115%13 Sept →
nuke13–8-0.0036%13 Sept →
ancient13–11-0.029%12 Sept →
inferno13–11-0.0516%10 Sept →
anubis13–110.0125%10 Sept →
cache13–40.0228%10 Sept →
nuke13–11-0.0015%6 Sept →
ancient13–16-0.0224%6 Sept →
mirage13–9-0.0322%6 Sept →
ancient14–16-0.036%5 Sept →
cache13–90.0224%4 Sept →
mirage11–13-0.0215%3 Sept →
ancient16–120.0620%2 Sept →
mirage13–11-0.0419%2 Sept →
cache22–19-0.0111%1 Sept →
dust23–13-0.106%27 Aug →
mirage16–14-0.0112%25 Aug →
dust211–13-0.0124%23 Aug →
nuke8–13-0.0912%23 Aug →
dust28–13-0.0120%21 Aug →
inferno7–13-0.0620%16 Aug →
dust27–130.0522%16 Aug →
ancient13–100.0314%16 Aug →
anubis13–10-0.009%15 Aug →
cache14–16-0.0722%14 Aug →
ancient19–220.0015%14 Aug →
anubis13–80.0217%14 Aug →
mirage9–13-0.0024%14 Aug →
cache13–70.0028%14 Aug →
mirage2–11-0.0714%14 Aug →
cache5–130.0115%12 Aug →
ancient6–13-0.0312%11 Aug →
mirage13–16-0.0112%11 Aug →
anubis6–130.0326%9 Aug →
dust222–20-0.0516%8 Aug →
dust213–80.0126%8 Aug →
mirage11–13-0.0311%7 Aug →
dust22–13-0.0616%4 Aug →
anubis13–100.0113%4 Aug →
nuke16–120.0114%4 Aug →
dust213–20.0815%4 Aug →
inferno8–13-0.0413%4 Aug →
dust213–90.0623%3 Aug →
dust29–13-0.0322%2 Aug →
mirage13–2-0.0323%2 Aug →
cache10–130.0217%2 Aug →
dust213–5-0.0233%2 Aug →
anubis13–10-0.0111%2 Aug →
mirage8–13-0.0811%1 Aug →
inferno13–3-0.097%1 Aug →
anubis4–13-0.084%1 Aug →
dust211–13-0.0124%1 Aug →
cache13–110.0124%1 Aug →
inferno13–50.0527%29 Jul →
anubis13–11-0.049%29 Jul →
nuke13–30.0721%29 Jul →
cache9–130.0115%29 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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