svn22one

svn22one — CS2 Stats

76561199008739620[U:1:1048473892]Steam profile ↗✓ No bans

2,402Tracked matches50%Win rate2020Tracked since
CSDB Rating7.6 StrongPositional Player
FaceitLevel 10 · 3,157 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,157 → 3,157
+47Tracked matches · now 2,402
+6.7ppWin rate · 43.3% → 50.0%

Rating over time

Faceit ELO: 3,157 +0 28 Aug – 26 Sept · 3 observations
3,1573,157peak 3,15728 Aug26 Sept
3,157Highest Faceit ELO seen on CSDB
86Days played since 2024-08-11

Faceit ELO

  • At peak — 3,157
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 343 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Share this profile

CSDB.GGsvn22oneFACEITLevel 10 · 3,157 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO3,157csdb.gg/stats

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Performance scores

Aim87
Positioning74
Utility64

0–100 skill scores via Leetify.

Recent form

COLD42–58Last 10042%Win rateLLLWWLWLLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +4.8pp headshot accuracy · −53ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 475ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 495ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 521ms

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 (+1.7 against its own average).

Aim8.7
Utility6.4
Positioning7.4
Opening Duels6.0
Clutch3.2

Sharp aimerStrong CT-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

jL

Plays most like jL 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7
Positioning7.4
Utility6.4
Mechanics7.3
Opening Duels5.9
Win Impact5.0

Composite 7.6/10 (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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time528ms−57ms
first ⅓ avg 585ms → last ⅓ avg 528ms
Headshot accuracy21.6%−1.5%
first ⅓ avg 23.1% → last ⅓ avg 21.6%

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 · 13–9 · dust2, 2 Mar →
40%Best headshot accuracy · 13–6 · nuke, 12 Apr →
391msFastest reaction time · 13–6 · mirage, 26 Aug →
13–0Biggest win · cache, 6 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
10–17In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 64% over 11dust2Weakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
dust2D227–1532%0.01
mirageB2110–1148%0.00
infernoC176–1135%-0.01
ancientC177–1041%-0.01
nukeA117–464%-0.00
anubisD93–633%-0.03
cache—11–0100%0.12
overpass—11–0100%0.02
train—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,453Matches
53%Win rate
1.09Avg K/D
80.8ADR
54%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage61253%1.0416.1
Dust247453%1.0716.0
Ancient46052%1.0315.9
Anubis32449%1.0315.8
Inferno30655%1.0915.9
Nuke27056%1.0215.8
Vertigo3949%0.9214.5
Overpass3746%0.9214.2

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.

21.7%Headshot accuracy
34.9%Accuracy (enemy spotted)
37.5%Spray accuracy
82.9%Counter-strafing
7.1°Preaim
515msReaction time
45.0%T opening success
62.2%CT opening success
0.66Enemies flashed / flash
10.7%Flash assists
10.44HE damage / grenade
10.75Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0328%4 Oct →
mirage17–190.0027%3 Oct →
anubis11–13-0.0218%3 Oct →
mirage13–10-0.0020%1 Oct →
anubis13–7-0.0326%28 Sept →
mirage9–13-0.0428%25 Sept →
mirage13–80.0721%21 Sept →
anubis24–280.0523%20 Sept →
inferno9–13-0.0913%14 Sept →
ancient14–160.0228%12 Sept →
mirage9–13-0.0518%9 Sept →
nuke13–110.0315%9 Sept →
anubis13–9-0.0314%30 Aug →
mirage13–6-0.0125%26 Aug →
ancient11–130.0022%24 Aug →
cache13–00.1213%6 Aug →
dust213–3-0.0024%6 Aug →
mirage13–50.0515%6 Aug →
nuke13–10-0.0117%5 Aug →
dust27–130.0421%17 Jul →
dust213–110.0629%5 Jul →
ancient8–13-0.0725%4 Jul →
inferno13–110.0126%18 Jun →
mirage14–16-0.0616%12 Jun →
mirage11–13-0.0221%11 Jun →
dust22–50.0612%22 May →
mirage13–90.1023%7 May →
inferno13–10-0.0125%27 Apr →
mirage13–1-0.0138%26 Apr →
mirage8–13-0.0514%26 Apr →
mirage8–13-0.008%24 Apr →
mirage23–25-0.0125%23 Apr →
nuke3–13-0.0438%23 Apr →
nuke7–13-0.0329%22 Apr →
dust25–13-0.0125%21 Apr →
inferno14–160.0728%14 Apr →
mirage13–110.0536%14 Apr →
nuke13–6-0.0440%12 Apr →
anubis1–13-0.1413%11 Apr →
inferno13–11-0.0137%29 Mar →
ancient9–13-0.0313%28 Mar →
dust210–13-0.0327%20 Mar →
nuke10–13-0.0320%20 Mar →
inferno8–13-0.0432%18 Mar →
nuke13–110.0014%18 Mar →
ancient13–6-0.0521%18 Mar →
inferno11–13-0.0418%17 Mar →
dust210–13-0.0516%16 Mar →
ancient13–100.0213%16 Mar →
dust211–130.0529%15 Mar →
inferno14–16-0.0114%11 Mar →
nuke13–80.1014%5 Mar →
dust213–90.1323%2 Mar →
ancient13–10.0415%11 Feb →
dust213–16-0.0122%8 Feb →
ancient10–13-0.068%17 Jan →
mirage13–11-0.0134%7 Jan →
mirage8–13-0.0113%3 Jan →
inferno9–13-0.0613%20 Dec →
dust216–130.0135%19 Dec →
inferno11–13-0.0511%17 Dec →
dust27–130.0236%17 Dec →
dust210–130.0525%15 Dec →
mirage11–130.0124%12 Oct →
dust213–50.0416%6 Oct →
inferno13–7-0.0221%6 Oct →
ancient13–4-0.0320%1 Oct →
inferno6–130.0422%21 Sept →
ancient10–13-0.0123%15 Sept →
inferno13–100.0231%31 Aug →
overpass13–100.0221%26 Aug →
mirage15–190.0125%26 Aug →
dust27–13-0.0221%18 Aug →
inferno13–50.0728%13 Aug →
inferno16–19-0.0235%5 Aug →
nuke13–11-0.0230%21 Jul →
ancient11–130.0232%12 Jul →
anubis5–130.0011%3 Jul →
nuke13–30.0325%27 Jun →
dust213–110.0524%26 Jun →
ancient13–60.1130%19 Jun →
mirage13–7-0.0218%31 May →
dust29–13-0.0615%9 May →
dust27–130.0226%7 May →
mirage13–50.0626%18 Apr →
train8–13-0.0331%13 Apr →
ancient13–100.0011%25 Mar →
anubis13–9-0.0420%13 Jan →
inferno10–13-0.0214%5 Jan →
anubis9–13-0.0313%22 Dec →
dust211–13-0.0438%23 Oct →
ancient11–130.0124%14 Oct →
dust213–90.0120%8 Oct →
ancient6–13-0.0719%6 Oct →
dust211–13-0.0425%4 Oct →
anubis10–13-0.0228%22 Sept →
ancient13–11-0.0014%13 Sept →
inferno10–13-0.0412%8 Sept →
dust28–13-0.0430%16 Aug →
ancient5–13-0.0421%11 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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