Souny

Souny — CS2 Stats

76561199109627834[U:1:1149362106]Steam profile ↗1 game ban

522Tracked matches48%Win rate2021Tracked since
1,349Hours in CS14Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating14,569Blue band · top ~30.7% of ranked players (population est.)
FaceitLevel 3 · 798 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Mar 2026 (229 days ago). Ranks are recorded once per day this page is viewed.

+2876Premier CS Rating · 11,693 → 14,569

Rating over time

Premier CS Rating: 14,569 +8,178 7 Dec – 29 Oct · 22 days played
5,10614,569peak 14,5697 Dec29 Oct
14,569Peak Premier in tracked matches
798Highest Faceit ELO seen on CSDB
45Days played since 2025-12-07

Faceit ELO

  • At peak — 798
  • Next: Level 4 at 901 — 103 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • At peak — 14,569
  • Next: Purple band at 15,000 — 431 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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate44.1%41.8%42.7%above
Shot accuracy13.0%12.2%11.2%above
Kill/death ratio0.780.980.990.21 short
Match win rate39.1%43.3%43.9%4.8% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSounyFACEITLevel 3 · 798 ELOSTANDINGTop 90.6% of rankedPREMIER14,569 · Blue bandPEAK ELO798csdb.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

Aim50
Positioning55
Utility34

0–100 skill scores via Leetify.

Recent form

HOT48–47–5Last 10048%Win rateWWWWWLWTLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +3.1pp headshot accuracy · −37ms 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

  • 5–0 · 100% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 620ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 648ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 667ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim5.0
Utility3.4
Positioning5.5
Opening Duels4.2
Clutch1.8

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

s1mple

Plays most like s1mple 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 684ms 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

Aim5.0
Positioning5.5
Utility3.4
Mechanics6.0
Opening Duels5.2
Win Impact4.4

Composite 4.7/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time677ms+22ms
first ⅓ avg 655ms → last ⅓ avg 677ms
Headshot accuracy18.4%+2.3%
first ⅓ avg 16.2% → last ⅓ avg 18.4%

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

0.13Best match rating · 13–8 · ancient, 27 Jan →
45%Best headshot accuracy · 5–13 · nuke, 14 Mar →
453msFastest reaction time · 3–13 · inferno, 10 Dec →
13–1Biggest win · cache, 29 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
4–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 83% over 6overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeD227–1532%-0.01
infernoA2214–864%-0.02
mirageB2110–1148%-0.00
dust2B136–746%-0.02
ancientB84–450%0.03
anubisS65–183%0.00
overpassD51–420%-0.02
cache—11–0100%0.00
vertigo—10–10%0.07
train—10–10%-0.04

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,654Lifetime kills
0.78K/D
1,624Matches
39.1%Match win rate
44.1%Headshot % · Top 50% of Level 3 players
13.0%Shot accuracy · Top 50% of Level 3 players
3,316MVPs
655Hours (in match)
1,557Bombs planted
258Bombs defused

Most-used weapons

Lifetime map wins

2,355inferno
1,798nuke
1,441dust2
1,186vertigo
551train
242office
105lake
48cbble

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

Faceit stats

Combat

82Matches
44%Win rate
0.70Avg K/D
67.2ADR
38%Headshot %

Clutches & streaks

29%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1354%0.8514.9
Ancient520%0.6712.2
Dust2560%1.0014.2
Anubis450%1.1412.0
Nuke425%0.7310.5
Vertigo20%0.5810.0
Inferno250%0.8912.5
Overpass1100%0.6511.0

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.

19.6%Headshot accuracy
29.0%Accuracy (enemy spotted)
30.5%Spray accuracy
77.1%Counter-strafing
8.8°Preaim
684msReaction time
49.6%T opening success
51.8%CT opening success
0.52Enemies flashed / flash
2.2%Flash assists
4.75HE damage / grenade
8.94Flashes / match

Recommended for you

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–3-0.0713%29 Oct →
cache13–10.009%29 Oct →
dust213–4-0.036%29 Oct →
anubis13–5-0.038%28 Oct →
nuke13–4-0.0438%28 Oct →
nuke9–130.0219%27 Oct →
mirage13–100.0627%27 Oct →
nuke15–15-0.0326%27 Oct →
nuke11–130.0217%26 Oct →
inferno13–8-0.0113%26 Oct →
anubis9–10.0812%26 Oct →
mirage13–20.087%20 Oct →
dust211–13-0.0620%20 Oct →
nuke13–50.0426%20 Oct →
inferno9–6-0.066%20 Oct →
mirage5–13-0.0411%14 Oct →
anubis8–20.0317%21 Sept →
mirage13–16-0.0121%16 Sept →
inferno13–10-0.088%16 Sept →
mirage4–13-0.0417%7 May →
nuke5–13-0.0845%14 Mar →
nuke13–16-0.0622%28 Feb →
mirage5–13-0.0415%26 Feb →
dust27–13-0.0417%24 Feb →
vertigo4–130.0725%24 Feb →
overpass7–130.0032%20 Feb →
nuke3–13-0.0821%17 Feb →
ancient13–160.0415%15 Feb →
nuke13–11-0.0113%15 Feb →
dust24–130.0223%14 Feb →
inferno13–11-0.0331%13 Feb →
nuke8–8-0.0016%12 Feb →
mirage5–13-0.0415%12 Feb →
nuke13–11-0.0014%11 Feb →
nuke13–8-0.0111%11 Feb →
inferno11–13-0.0522%11 Feb →
mirage9–130.0018%11 Feb →
inferno3–12-0.047%11 Feb →
mirage13–80.0131%10 Feb →
anubis13–70.0126%10 Feb →
dust210–130.0223%9 Feb →
mirage7–13-0.0118%8 Feb →
mirage9–130.0615%7 Feb →
dust213–8-0.0611%7 Feb →
anubis3–130.017%6 Feb →
dust213–80.0314%3 Feb →
nuke8–130.0424%2 Feb →
overpass13–90.0216%1 Feb →
inferno13–7-0.0320%1 Feb →
overpass11–13-0.0212%31 Jan →
mirage13–70.0520%27 Jan →
overpass8–8-0.0715%27 Jan →
ancient13–80.1321%27 Jan →
dust213–5-0.0610%27 Jan →
inferno7–13-0.0615%22 Jan →
mirage13–40.0310%22 Jan →
inferno10–13-0.035%17 Jan →
mirage13–2-0.0020%14 Jan →
ancient7–130.0217%14 Jan →
nuke7–130.0132%12 Jan →
nuke13–50.0930%12 Jan →
mirage13–20.0211%12 Jan →
inferno13–50.0132%6 Jan →
inferno7–13-0.0315%17 Dec →
overpass9–13-0.0315%16 Dec →
nuke13–11-0.0422%16 Dec →
dust22–13-0.0813%16 Dec →
ancient13–40.1313%15 Dec →
train3–13-0.044%15 Dec →
inferno13–10-0.0420%15 Dec →
mirage13–8-0.059%14 Dec →
ancient13–10-0.0119%14 Dec →
inferno13–40.0815%14 Dec →
inferno15–150.0114%12 Dec →
ancient13–30.0219%12 Dec →
mirage6–13-0.058%11 Dec →
nuke5–13-0.0118%11 Dec →
inferno13–80.069%11 Dec →
inferno13–10-0.0414%11 Dec →
dust213–70.0626%11 Dec →
nuke3–13-0.0021%11 Dec →
nuke13–16-0.0214%10 Dec →
inferno13–4-0.0520%10 Dec →
mirage8–13-0.0321%10 Dec →
mirage13–60.0119%10 Dec →
inferno13–8-0.006%10 Dec →
mirage2–13-0.089%10 Dec →
inferno3–130.0015%10 Dec →
nuke11–130.0115%10 Dec →
nuke7–13-0.0320%9 Dec →
ancient5–13-0.0620%9 Dec →
inferno13–80.0510%9 Dec →
nuke4–13-0.0224%9 Dec →
dust24–13-0.0115%9 Dec →
inferno9–50.0617%9 Dec →
dust215–15-0.0118%8 Dec →
dust216–130.0323%8 Dec →
ancient7–13-0.0117%8 Dec →
inferno9–13-0.0617%7 Dec →
mirage13–6-0.0025%7 Dec →

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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