Softarn

Softarn — CS2 Stats

SE76561198161128141[U:1:200862413]Steam profile ↗✓ No bans

468Tracked matches55%Win rate2020Tracked since
3,977Hours in CS8Hrs last 2 wks
CSDB Rating5.0 DevelopingSupport
FaceitLevel 6 · 1,102 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,712 +743 5 Mar – 2 Jul · 19 days played
15,50818,386peak 18,3865 Mar2 Jul
18,386Peak Premier in tracked matches
1,102Highest Faceit ELO seen on CSDB
50Days played since 2026-03-05

Faceit ELO

  • At peak — 1,102
  • Next: Level 6 at 1,201 — 99 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches22——
Win rate55%——
K/D1.01——
Headshot %47%——

Measured 7 Sep 2026 → 9 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 6 among CSDB-tracked players (n=12,879), 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 6 medianLevel 7 medianvs Level 7
Headshot rate40.0%44.8%45.7%5.7% short
Shot accuracy18.3%12.4%12.7%above
Kill/death ratio0.861.031.050.19 short
Match win rate41.0%45.2%45.7%4.7% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSoftarnFACEITLevel 6 · 1,102 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,102csdb.gg/stats

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Performance scores

Aim67
Positioning50
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateWLWWWLLWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −3.2pp headshot accuracy · −19ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 531ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 556ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

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 (+1.1 against its own average).

Aim6.7
Utility5.1
Positioning5.0
Opening Duels2.3
Clutch3.6

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 91% 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

CT openings. Opening success drops from 53% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 579ms 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

Aim6.7
Positioning5.0
Utility5.1
Mechanics4.8
Opening Duels3.6
Win Impact6.7

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time596ms−18ms
first ⅓ avg 614ms → last ⅓ avg 596ms
Headshot accuracy16.5%−2.0%
first ⅓ avg 18.5% → last ⅓ avg 16.5%

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

0.14Best match rating · 13–10 · nuke, 1 Oct →
39%Best headshot accuracy · 13–11 · dust2, 25 Apr →
266msFastest reaction time · 2–6 · dust2, 6 Mar →
13–1Biggest win · dust2, 21 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 73% over 11dust2Weakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB3015–1550%-0.01
dust2C188–1044%-0.03
ancientB158–753%-0.01
infernoS139–469%0.01
cacheS118–373%0.01
nukeB63–350%0.04
overpass—44–0100%-0.01
vertigo—22–0100%0.04
anubis—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,385Lifetime kills
0.86K/D
4,325Matches
41.0%Match win rate
40.0%Headshot %
18.3%Shot accuracy · Top 10% of Level 6 players
10,709MVPs
2,190Hours (in match)
2,936Bombs planted
1,432Bombs defused

Most-used weapons

AK-4726,399
AWP7,088
FAMAS1,574
MP91,448
Knife1,306

Lifetime map wins

7,009inferno
3,942dust2
1,384vertigo
1,187nuke
866train
247cbble
145lake
120safehouse

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

Faceit stats

Combat

338Matches
53%Win rate
0.96Avg K/D
78.1ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6456%1.0214.2
Ancient3650%1.0314.7
Vertigo2642%0.8512.1
Anubis1242%0.8614.0
Nuke1136%1.3112.1
Dust2967%0.8615.6
Inferno743%1.1212.3
Overpass367%1.0116.3

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.

16.6%Headshot accuracy
33.8%Accuracy (enemy spotted)
43.1%Spray accuracy
71.5%Counter-strafing
9.5°Preaim
579msReaction time
52.8%T opening success
36.0%CT opening success
0.52Enemies flashed / flash
4.4%Flash assists
6.99HE damage / grenade
6.17Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.035% — below the 40% mark we flag

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.

44% win rate across 18 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
inferno13–110.0114%7 Oct →
dust29–13-0.0721%5 Oct →
ancient13–9-0.0110%5 Oct →
ancient16–140.0513%4 Oct →
nuke13–100.1416%1 Oct →
ancient9–130.0528%1 Oct →
mirage6–13-0.0721%29 Sept →
inferno13–100.0112%23 Sept →
mirage10–13-0.086%23 Sept →
dust213–1-0.0613%21 Sept →
ancient7–130.0021%21 Sept →
overpass13–8-0.0111%20 Sept →
mirage13–20.1119%20 Sept →
inferno12–12-0.0713%20 Sept →
dust210–13-0.0516%14 Sept →
mirage6–13-0.0410%14 Sept →
mirage13–50.0523%8 Sept →
mirage13–70.0215%3 Sept →
dust28–130.0133%27 Jul →
inferno6–13-0.0423%2 Jul →
mirage7–13-0.0414%2 Jul →
inferno9–130.0321%2 Jul →
inferno13–80.0224%1 Jul →
mirage10–00.0118%1 Jul →
mirage4–13-0.073%24 Jun →
ancient13–8-0.0518%24 Jun →
inferno9–3-0.0110%24 Jun →
overpass16–14-0.0114%14 Jun →
dust213–9-0.0014%12 Jun →
nuke13–50.0214%10 Jun →
nuke10–130.0223%8 Jun →
mirage13–40.0110%8 Jun →
cache9–130.0524%7 Jun →
overpass13–6-0.0110%7 Jun →
dust213–4-0.0523%7 Jun →
inferno13–50.0615%7 Jun →
ancient11–130.0312%3 Jun →
inferno9–13-0.0121%3 Jun →
inferno13–90.0423%1 Jun →
mirage13–70.0922%1 Jun →
cache13–30.057%1 Jun →
cache13–70.0116%1 Jun →
overpass13–20.0112%1 Jun →
inferno13–10-0.0016%28 May →
cache13–6-0.0021%28 May →
ancient8–13-0.0517%25 May →
cache13–30.0224%24 May →
mirage8–130.019%24 May →
cache13–100.0124%20 May →
cache13–11-0.0122%17 May →
dust23–13-0.0733%13 May →
mirage6–130.0118%12 May →
inferno13–50.0220%12 May →
cache13–20.0325%12 May →
dust24–13-0.0924%4 May →
mirage13–60.0715%4 May →
cache10–130.0112%4 May →
cache13–60.0516%4 May →
mirage11–130.0025%3 May →
dust29–130.0630%3 May →
cache8–13-0.0619%3 May →
mirage11–13-0.0310%3 May →
anubis11–13-0.0510%2 May →
mirage10–13-0.0720%2 May →
dust213–16-0.0519%30 Apr →
dust213–5-0.0124%30 Apr →
inferno13–90.0616%27 Apr →
mirage13–30.0120%27 Apr →
mirage13–6-0.007%26 Apr →
ancient13–10-0.0635%26 Apr →
dust213–80.0328%26 Apr →
ancient11–13-0.0411%26 Apr →
vertigo13–80.0719%25 Apr →
dust213–110.0239%25 Apr →
mirage13–80.0617%25 Apr →
nuke13–110.0826%24 Apr →
ancient13–70.0314%24 Apr →
dust26–130.0220%24 Apr →
vertigo13–70.0112%24 Apr →
nuke7–130.0822%24 Apr →
dust213–9-0.0123%22 Apr →
ancient15–15-0.0013%13 Apr →
mirage3–13-0.0515%30 Mar →
ancient13–4-0.0611%22 Mar →
mirage9–130.009%22 Mar →
mirage13–9-0.0017%21 Mar →
mirage13–11-0.0015%16 Mar →
mirage15–15-0.068%15 Mar →
nuke10–13-0.0817%15 Mar →
mirage8–13-0.0919%15 Mar →
dust213–4-0.0624%15 Mar →
dust214–16-0.0527%14 Mar →
ancient1–60.0038%14 Mar →
mirage16–140.0117%13 Mar →
mirage13–11-0.0420%13 Mar →
ancient13–8-0.0425%9 Mar →
mirage11–13-0.0115%9 Mar →
mirage13–8-0.0210%8 Mar →
dust22–6-0.080%6 Mar →
ancient13–50.0516%5 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.