S0da

S0da — CS2 Stats

CK76561199199266702[U:1:1239000974]Steam profile ↗✓ No bans

979Tracked matches39%Win rate2021Tracked since
1,469Hours in CS18Hrs last 2 wks
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating4,233Grey band · top ~82% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (3 days ago). 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: 4,233 -10,377 10 Sept – 28 Oct · 30 days played
4,23314,962peak 14,96210 Sept28 Oct
14,962Peak Premier in tracked matches
61Days played since 2025-09-10

Premier CS Rating

  • 10,729 below peak (14,962)
  • Next: Light Blue band at 5,000 — 767 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 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate55.4%40.9%41.3%above
Shot accuracy16.5%14.2%12.7%above
Kill/death ratio1.430.950.95above
Match win rate41.0%42.1%42.6%1.6% short

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGS0daFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER4,233 · Grey bandcsdb.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

Aim81
Positioning49
Utility14

0–100 skill scores via Leetify.

Recent form

COLD41–55–4Last 10041%Win rateLTWLLTWLLL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · −2.5pp headshot accuracy · −42ms reaction

Win rate down 50pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 631ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 651ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 672ms

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 (+1.3 against its own average).

Aim8.1
Utility1.4
Positioning4.9
Opening Duels3.6
Clutch4.4

Limited utility dependence

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

donk

Plays most like donk 84% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower 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

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Reaction time. 659ms 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

Aim8.1
Positioning4.9
Utility1.4
Mechanics7.1
Opening Duels4.0
Win Impact1.4

Composite 4.7/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time650ms−43ms
first ⅓ avg 693ms → last ⅓ avg 650ms
Headshot accuracy26.0%+1.6%
first ⅓ avg 24.4% → last ⅓ avg 26.0%

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 · 13–2 · mirage, 7 Sept →
58%Best headshot accuracy · 13–3 · mirage, 2 Jan →
492msFastest reaction time · 6–13 · inferno, 3 Mar →
13–0Biggest win · ancient, 23 Feb →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 64% over 11infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageD248–1633%-0.01
nukeC188–1044%-0.03
overpassD124–833%-0.02
ancientA117–464%-0.03
cacheB105–550%-0.03
infernoD103–730%-0.00
dust2D93–633%-0.04
anubis—31–233%0.01
train—21–150%-0.02
vertigo—11–0100%-0.10

Across the last 100 tracked matches.

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

Lifetime stats

59,923Lifetime kills
1.43K/D · Top 5% of Level 1 players
2,165Matches
41.0%Match win rate
55.4%Headshot % · Top 5% of Level 1 players
16.5%Shot accuracy · Top 50% of Level 1 players
3,891MVPs
1,211Hours (in match)
1,432Bombs planted
312Bombs defused

Most-used weapons

AK-4718,136
AWP4,101
Molotov1,780
MP9710

Lifetime map wins

3,001inferno
2,248dust2
1,298nuke
473train
394vertigo
306cbble
126italy
106office

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

Faceit stats

Combat

244Matches
49%Win rate
0.78Avg K/D
70.3ADR
42%Headshot %

Clutches & streaks

42%1v1 clutch win
60%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage560%0.9216.4
Nuke5100%0.8114.2
Ancient333%0.8013.0
Dust2367%0.6410.7
Overpass333%0.497.0
Inferno10%0.6210.0
Anubis10%0.478.0

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.

23.8%Headshot accuracy
35.8%Accuracy (enemy spotted)
38.0%Spray accuracy
81.8%Counter-strafing
7.2°Preaim
659msReaction time
47.1%T opening success
44.8%CT opening success
0.29Enemies flashed / flash
0.0%Flash assists
5.63HE damage / grenade
1.06Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2939 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0123%28 Oct →
mirage15–15-0.0713%26 Oct →
ancient13–8-0.0621%20 Oct →
inferno1–13-0.0129%19 Oct →
nuke8–13-0.0312%19 Oct →
inferno12–120.0225%8 Oct →
vertigo9–7-0.1022%4 Oct →
mirage4–13-0.0133%27 Sept →
dust27–13-0.0331%13 Sept →
cache10–130.0127%13 Sept →
cache13–7-0.027%11 Sept →
dust28–4-0.0638%10 Sept →
cache13–6-0.0142%10 Sept →
anubis5–130.0429%10 Sept →
mirage13–20.1419%7 Sept →
inferno13–110.0423%4 Sept →
nuke13–7-0.0233%4 Sept →
nuke5–13-0.0626%1 Sept →
cache5–13-0.0123%1 Sept →
dust213–10-0.0621%1 Sept →
cache13–11-0.0518%26 Aug →
cache13–11-0.0230%25 Aug →
cache5–3-0.1050%25 Aug →
mirage9–13-0.0326%10 Jul →
ancient8–13-0.0614%26 Jun →
overpass7–13-0.029%22 Jun →
nuke5–13-0.0121%22 Jun →
cache11–130.0123%16 Jun →
cache8–13-0.0641%4 May →
inferno9–13-0.0118%21 Mar →
inferno6–13-0.0521%3 Mar →
nuke8–13-0.0655%24 Feb →
mirage13–70.0534%23 Feb →
ancient13–00.0430%23 Feb →
dust22–13-0.0621%23 Feb →
ancient13–7-0.0415%22 Feb →
mirage6–13-0.0315%22 Feb →
mirage11–13-0.0426%22 Feb →
mirage8–130.0433%22 Feb →
mirage13–60.0331%21 Feb →
nuke13–11-0.0529%15 Feb →
ancient4–13-0.040%11 Feb →
anubis5–13-0.0944%9 Feb →
mirage13–10-0.0627%8 Feb →
dust29–13-0.0427%8 Feb →
anubis13–40.0830%8 Feb →
mirage9–13-0.0017%7 Feb →
dust213–9-0.0228%17 Jan →
mirage13–80.0929%16 Jan →
nuke4–13-0.0624%7 Jan →
overpass13–5-0.0023%7 Jan →
nuke13–8-0.0229%5 Jan →
nuke13–1-0.0224%5 Jan →
mirage13–30.0258%2 Jan →
mirage10–13-0.1018%12 Dec →
overpass9–13-0.0231%2 Dec →
mirage9–130.0225%2 Dec →
inferno11–13-0.0333%27 Nov →
ancient13–8-0.0345%23 Nov →
train9–13-0.0428%23 Nov →
mirage9–13-0.0429%23 Nov →
overpass7–13-0.0816%22 Nov →
overpass13–5-0.0031%22 Nov →
mirage8–13-0.0312%16 Nov →
mirage11–130.0225%10 Nov →
nuke9–13-0.0626%10 Nov →
overpass8–13-0.0020%8 Nov →
mirage7–13-0.0817%14 Oct →
overpass6–13-0.0520%14 Oct →
ancient11–130.0219%14 Oct →
inferno13–9-0.0011%13 Oct →
inferno13–30.0821%13 Oct →
ancient13–1-0.0522%13 Oct →
inferno9–13-0.0231%10 Oct →
overpass6–13-0.0230%3 Oct →
nuke13–90.0019%3 Oct →
mirage2–13-0.0513%25 Sept →
nuke13–7-0.0445%25 Sept →
overpass8–130.0519%24 Sept →
overpass3–13-0.0746%24 Sept →
nuke5–13-0.0525%23 Sept →
train16–120.0032%21 Sept →
inferno8–13-0.0228%21 Sept →
mirage15–15-0.0420%19 Sept →
nuke13–7-0.0333%18 Sept →
mirage13–10-0.0815%18 Sept →
dust26–130.0137%18 Sept →
nuke15–150.0032%17 Sept →
mirage13–110.0322%16 Sept →
nuke5–13-0.0016%15 Sept →
ancient13–70.0120%14 Sept →
mirage5–13-0.0619%14 Sept →
nuke13–10-0.0331%12 Sept →
overpass13–5-0.0617%12 Sept →
nuke10–13-0.0724%12 Sept →
overpass13–80.0137%12 Sept →
ancient13–11-0.0614%11 Sept →
dust26–13-0.0830%11 Sept →
ancient5–13-0.0414%11 Sept →
dust27–13-0.0427%10 Sept →

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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