Soda

Soda — CS2 Stats

76561198915917860[U:1:955652132]Steam profile ↗✓ No bans

85Tracked matches30%Win rate2020Tracked since
CSDB Rating3.4 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim39
Positioning52
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY30–45–6Last 8137%Win rateLWLWWLLLLW

Last 10 vs previous 10: +20pp win rate · −0.05 avg rating · −7.0pp headshot accuracy · −33ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 585ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 655ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 671ms

Newest first, from the last 81 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).

Aim3.9
Utility1.8
Positioning5.2
Opening Duels2.8
Clutch3.8

Strong T-side openerLimited 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

s1mple

Plays most like s1mple 78% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 681ms 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

Aim3.9
Positioning5.2
Utility1.8
Mechanics5.6
Opening Duels1.2
Win Impact0.0

Composite 3.4/10 (Learning), 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 rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time662ms−23ms
first ⅓ avg 685ms → last ⅓ avg 662ms
Headshot accuracy20.1%−1.5%
first ⅓ avg 21.6% → last ⅓ avg 20.1%

Rolling 5-match average across the last 81 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.22Best match rating · 9–4 · inferno, 1 Apr →
54%Best headshot accuracy · 9–5 · poseidon, 30 Mar →
375msFastest reaction time · 3–0 · mirage, 14 Jun →
16–5Biggest win · mirage, 8 Jun →

Across the last 81 tracked matches.

Highlights

4Longest win streak
3–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 50% over 10infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
infernoD164–1225%-0.05
nukeD123–925%-0.01
mirageB105–550%-0.02
anubisC104–640%-0.02
vertigoB84–450%-0.01
cacheC73–443%-0.00
dust2D62–433%-0.02
overpassD62–433%-0.05
ancientC52–340%-0.02
poseidon—11–0100%0.03

Across the last 81 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

21Matches
33%Win rate
0.82Avg K/D
65.3ADR
56%Headshot %

Clutches & streaks

39%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1250%0.9414.1
Nuke30%0.6413.0
Overpass10%0.5610.0
Inferno10%0.439.0

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.

19.9%Headshot accuracy
27.2%Accuracy (enemy spotted)
29.1%Spray accuracy
75.3%Counter-strafing
10.8°Preaim
681msReaction time
35.8%T opening success
33.4%CT opening success
0.32Enemies flashed / flash
2.8%Flash assists
6.71HE damage / grenade
4.00Flashes / 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 0.3236 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 35.8146% — below the 40% mark we flag

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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–9-0.0426%15 Oct →
cache16–12-0.0637%3 Oct →
nuke11–130.0723%14 Jun →
mirage3–0-0.090%14 Jun →
nuke13–80.0412%6 Jun →
nuke9–13-0.0415%11 May →
cache10–13-0.067%11 May →
mirage3–13-0.0421%10 May →
nuke10–13-0.0510%10 May →
cache13–5-0.0214%10 May →
cache4–120.0421%29 Apr →
cache9–130.1238%29 Apr →
cache12–12-0.0111%29 Apr →
cache13–9-0.0130%29 Apr →
inferno7–9-0.0811%27 Apr →
anubis10–130.0625%27 Apr →
mirage3–130.0323%14 Apr →
dust23–130.0130%14 Apr →
dust213–110.0121%9 Apr →
vertigo7–13-0.0328%8 Apr →
dust212–12-0.0627%7 Apr →
dust213–80.0314%7 Apr →
inferno6–90.0037%7 Apr →
anubis3–13-0.147%3 Apr →
anubis4–130.0117%3 Apr →
dust26–11-0.0520%3 Apr →
mirage8–13-0.0517%2 Apr →
ancient12–120.0415%2 Apr →
anubis3–13-0.0313%2 Apr →
ancient6–13-0.0714%2 Apr →
nuke7–13-0.058%2 Apr →
vertigo9–6-0.0620%1 Apr →
overpass4–9-0.1111%1 Apr →
inferno5–9-0.0425%1 Apr →
nuke5–9-0.0715%1 Apr →
inferno9–40.2245%1 Apr →
overpass4–13-0.0328%30 Mar →
ancient13–6-0.0228%30 Mar →
anubis13–80.068%30 Mar →
overpass8–8-0.0230%30 Mar →
overpass13–40.0319%30 Mar →
inferno2–9-0.1617%30 Mar →
vertigo9–70.0138%30 Mar →
nuke3–9-0.239%30 Mar →
inferno2–13-0.0318%30 Mar →
mirage6–13-0.0221%30 Mar →
ancient13–7-0.0125%30 Mar →
poseidon9–50.0354%30 Mar →
nuke4–9-0.0515%30 Mar →
inferno7–9-0.0922%29 Mar →
inferno9–60.0329%29 Mar →
vertigo8–8-0.0515%29 Mar →
nuke9–40.2025%29 Mar →
inferno0–9-0.2813%29 Mar →
overpass9–6-0.0722%29 Mar →
nuke3–90.0728%28 Mar →
vertigo9–20.2021%28 Mar →
inferno7–9-0.0924%28 Mar →
inferno6–9-0.0647%28 Mar →
inferno3–9-0.1427%28 Mar →
anubis7–13-0.0119%27 Mar →
anubis13–70.0420%27 Mar →
mirage8–2-0.0214%27 Mar →
anubis13–4-0.0616%27 Mar →
inferno6–9-0.0420%27 Mar →
inferno9–60.0115%26 Mar →
nuke6–9-0.0812%26 Mar →
vertigo9–6-0.0324%26 Mar →
anubis12–16-0.1034%25 Mar →
ancient10–13-0.0315%25 Mar →
mirage6–13-0.0323%25 Mar →
anubis13–10-0.0123%25 Mar →
overpass9–13-0.0819%25 Mar →
vertigo8–80.0724%5 Mar →
vertigo4–9-0.1619%22 Feb →
nuke9–50.0421%13 Feb →
dust27–13-0.0212%21 Apr →
inferno13–11-0.0519%13 Jan →
mirage9–00.0524%30 Sept →
mirage16–100.0028%11 Jun →
mirage16–50.0016%8 Jun →

Match data via Leetify.

Recent teammates

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

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