SofaZ

SofaZ — CS2 Stats

76561198210413776[U:1:250148048]Steam profile ↗✓ No bans

760Tracked matches44%Win rate2020Tracked since
3,474Hours in CS59Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating16,439Purple band · top ~22.7% of ranked players (population est.)
FaceitLevel 5 · 1,157 ELOTop 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,439 +1,663 11 Oct – 6 Nov · 26 days played
13,76617,394peak 17,39411 Oct6 Nov
17,753Peak Premier in tracked matches
1,201Highest Faceit ELO seen on CSDB
27Days played since 2026-01-21

Faceit ELO

  • 44 below peak (1,201)
  • Next: Level 6 at 1,201 — 44 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 5 first seen 2026-09-15
  • Level 4 first seen 2026-09-15

Premier CS Rating

  • 955 below peak (17,394)
  • +1,663 over 30 days · improving
  • Next: Pink band at 20,000 — 3,561 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate44.6%43.8%44.8%meets
Shot accuracy14.8%12.0%12.4%above
Kill/death ratio0.921.021.030.12 short
Match win rate37.2%44.7%45.2%8.0% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSofaZFACEITLevel 5 · 1,157 ELOSTANDINGTop 67.6% of rankedPREMIER16,439 · Purple bandPEAK ELO1,201csdb.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

Aim87
Positioning61
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY48–41–11Last 10048%Win rateWWLWLLLLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −1.6pp headshot accuracy · +8ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 509ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

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 (+2.6 against its own average).

Aim8.7
Utility4.5
Positioning6.1
Opening Duels3.3
Clutch0.0

Sharp aimerExcellent counter-strafingStrong 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

sh1ro

Plays most like sh1ro 95% playstyle similarity

Most alike: positioning profile, 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.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 572ms 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

Aim8.7
Positioning6.1
Utility4.5
Mechanics8.5
Opening Duels4.8
Win Impact3.0

Composite 6.6/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time574ms−37ms
first ⅓ avg 611ms → last ⅓ avg 574ms
Headshot accuracy19.4%−2.3%
first ⅓ avg 21.7% → last ⅓ avg 19.4%

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

0.15Best match rating · 13–5 · nuke, 26 Oct →
53%Best headshot accuracy · 12–12 · train, 11 Oct →
422msFastest reaction time · 13–3 · inferno, 2 Nov →
13–1Biggest win · inferno, 21 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
6–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 71% over 14ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2111–1052%0.02
nukeA169–756%0.01
dust2B157–847%-0.01
cacheS1410–471%0.01
infernoB137–654%0.02
ancientD103–730%-0.00
anubis—41–325%-0.02
vertigo—30–30%-0.02
train—20–20%-0.05
fachwerk—10–10%0.00
office—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,637Lifetime kills
0.92K/D
3,733Matches
37.2%Match win rate
44.6%Headshot % · Top 50% of Level 5 players
14.8%Shot accuracy · Top 50% of Level 5 players
7,254MVPs
1,346Hours (in match)
2,997Bombs planted
501Bombs defused

Most-used weapons

Lifetime map wins

5,489dust2
3,474inferno
2,683nuke
1,417vertigo
743office
635cbble
607train
46lake

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

Faceit stats

Combat

337Matches
47%Win rate
0.89Avg K/D
83.1ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2367%1.0720.0
Mirage1100%0.7414.0
Inferno10%0.8012.0

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.

18.2%Headshot accuracy
39.0%Accuracy (enemy spotted)
45.1%Spray accuracy
88.0%Counter-strafing
8.9°Preaim
572msReaction time
42.1%T opening success
56.4%CT opening success
0.51Enemies flashed / flash
4.8%Flash assists
5.43HE damage / grenade
9.76Flashes / match

Recommended for you

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0220%6 Nov →
nuke13–40.0921%6 Nov →
vertigo9–13-0.0223%5 Nov →
anubis13–11-0.0314%5 Nov →
anubis10–13-0.0313%4 Nov →
nuke6–13-0.0019%4 Nov →
anubis4–130.0231%4 Nov →
ancient9–130.0126%3 Nov →
mirage13–80.006%3 Nov →
inferno9–130.1112%3 Nov →
vertigo12–12-0.0213%2 Nov →
inferno13–3-0.0516%2 Nov →
nuke15–15-0.0514%2 Nov →
fachwerk10–130.0021%1 Nov →
nuke4–13-0.0126%1 Nov →
mirage9–130.0637%1 Nov →
cache13–50.0520%1 Nov →
nuke3–130.0529%31 Oct →
inferno13–90.0518%31 Oct →
cache7–13-0.006%31 Oct →
cache13–90.0320%31 Oct →
cache13–7-0.0119%31 Oct →
dust215–15-0.0214%31 Oct →
mirage15–150.0217%31 Oct →
inferno13–10-0.0012%31 Oct →
mirage13–5-0.018%30 Oct →
train12–12-0.0628%29 Oct →
office1–13-0.0718%29 Oct →
mirage11–130.1022%29 Oct →
ancient7–13-0.0211%28 Oct →
mirage11–13-0.0428%27 Oct →
ancient13–90.0724%27 Oct →
nuke13–50.0236%27 Oct →
cache13–7-0.0715%26 Oct →
dust213–60.0618%26 Oct →
dust26–130.0338%26 Oct →
mirage13–80.0413%26 Oct →
nuke13–50.1524%26 Oct →
dust215–15-0.0115%26 Oct →
inferno9–13-0.0110%26 Oct →
mirage13–7-0.0314%25 Oct →
dust26–13-0.0313%25 Oct →
vertigo12–12-0.0040%25 Oct →
ancient10–13-0.0618%25 Oct →
dust23–13-0.0816%24 Oct →
ancient10–13-0.028%24 Oct →
mirage13–100.0220%24 Oct →
cache13–90.0530%24 Oct →
nuke13–70.0120%24 Oct →
dust213–110.0122%24 Oct →
nuke10–130.0317%24 Oct →
nuke13–70.0118%23 Oct →
mirage13–90.0611%23 Oct →
dust210–13-0.0310%23 Oct →
cache11–130.0216%22 Oct →
nuke13–11-0.0814%22 Oct →
cache13–80.0221%22 Oct →
ancient13–60.0320%22 Oct →
cache13–70.077%21 Oct →
dust213–90.0217%21 Oct →
inferno13–10.1026%21 Oct →
anubis15–15-0.0514%21 Oct →
cache13–110.0227%20 Oct →
mirage9–130.0121%19 Oct →
mirage13–90.0116%19 Oct →
cache13–3-0.0232%19 Oct →
inferno15–15-0.0017%19 Oct →
mirage1–13-0.0027%18 Oct →
inferno13–9-0.0719%18 Oct →
ancient12–16-0.0216%18 Oct →
nuke16–12-0.0122%18 Oct →
mirage5–130.0316%17 Oct →
mirage13–50.0028%17 Oct →
nuke2–70.0411%17 Oct →
mirage13–70.0217%17 Oct →
inferno13–90.0230%17 Oct →
inferno13–60.038%17 Oct →
dust213–110.0119%17 Oct →
mirage11–13-0.047%16 Oct →
ancient7–130.0118%16 Oct →
cache4–13-0.0234%16 Oct →
nuke9–13-0.0432%15 Oct →
inferno3–130.0012%15 Oct →
ancient8–13-0.0122%15 Oct →
ancient13–10-0.0215%15 Oct →
dust213–70.0227%14 Oct →
mirage10–13-0.0319%14 Oct →
mirage13–60.0025%13 Oct →
dust27–13-0.0730%13 Oct →
nuke13–6-0.0216%12 Oct →
dust215–15-0.0714%12 Oct →
nuke13–90.0223%12 Oct →
inferno10–130.0417%12 Oct →
mirage6–130.0534%12 Oct →
cache13–60.0924%12 Oct →
cache10–13-0.1011%11 Oct →
train12–12-0.0453%11 Oct →
inferno5–13-0.0016%11 Oct →
mirage13–90.1220%11 Oct →
dust213–40.0832%11 Oct →

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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