Vesirotta

Vesirotta — CS2 Stats

76561198035743784[U:1:75478056]Steam profile ↗✓ No bans

1,375Tracked matches62%Win rate2020Tracked since
CSDB Rating6.8 SolidPositional Player
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Performance scores

Aim74
Positioning73
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY40–50–10Last 10040%Win rateTWTLWWWWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −6.1pp headshot accuracy · +130ms 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

  • 2–1–2 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 605ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 513ms

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 (+1.4 against its own average).

Aim7.4
Utility6.4
Positioning7.3
Opening Duels7.3
Clutch2.6

Effective flashes

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

device

Plays most like device 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 67% T opening-duel success — entries that actually open the round.

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

Aim7.4
Positioning7.3
Utility6.4
Mechanics4.9
Opening Duels9.1
Win Impact8.8

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time518ms−91ms
first ⅓ avg 609ms → last ⅓ avg 518ms
Headshot accuracy18.0%−1.2%
first ⅓ avg 19.2% → last ⅓ avg 18.0%

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

0.15Best match rating · 13–4 · dust2, 13 Oct →
56%Best headshot accuracy · 13–10 · dust2, 12 Oct →
344msFastest reaction time · 5–13 · dust2, 20 Oct →
13–0Biggest win · dust2, 24 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 60% over 5infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C6729–3843%0.04
nukeC73–443%0.00
infernoD62–433%0.04
ancientD62–433%0.02
mirageA53–260%-0.01
italy—41–325%-0.02
cache—30–30%-0.03
anubis—20–20%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,757Matches
50%Win rate
1.06Avg K/D
69.2ADR
30%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust27159%1.1615.1
Nuke4360%1.0515.2
Ancient3043%0.9113.0
Inferno2025%0.7812.8
Anubis1527%0.7210.8
Train1331%0.7911.9
Cache743%0.9212.0
Mirage425%1.0714.0

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.

17.7%Headshot accuracy
35.3%Accuracy (enemy spotted)
32.3%Spray accuracy
72.0%Counter-strafing
7.6°Preaim
517msReaction time
67.0%T opening success
65.8%CT opening success
0.75Enemies flashed / flash
15.2%Flash assists
6.31HE damage / grenade
10.24Flashes / match

Recommended for you

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–120.0615%31 Oct →
dust213–40.0513%31 Oct →
dust212–120.0117%31 Oct →
italy8–13-0.0226%31 Oct →
dust213–70.066%31 Oct →
dust213–30.047%31 Oct →
dust213–60.0519%31 Oct →
dust213–9-0.0016%31 Oct →
italy3–13-0.0811%30 Oct →
dust213–40.0615%30 Oct →
dust213–60.0217%30 Oct →
dust28–130.0631%30 Oct →
dust213–90.0225%30 Oct →
dust213–100.0312%22 Oct →
dust213–100.0910%22 Oct →
dust213–70.0322%22 Oct →
dust212–120.1021%22 Oct →
dust28–130.069%22 Oct →
dust25–13-0.0933%20 Oct →
italy7–13-0.0127%20 Oct →
dust24–13-0.0530%20 Oct →
mirage13–3-0.0513%20 Oct →
dust27–130.0818%20 Oct →
dust23–13-0.0117%20 Oct →
dust26–00.0619%20 Oct →
inferno8–80.0210%14 Oct →
ancient13–10-0.047%14 Oct →
nuke15–15-0.0012%14 Oct →
dust213–80.0136%13 Oct →
dust26–13-0.0014%13 Oct →
dust213–40.1515%13 Oct →
dust213–100.1126%13 Oct →
dust210–130.0424%13 Oct →
dust26–13-0.0212%12 Oct →
dust213–100.1433%12 Oct →
dust213–100.0856%12 Oct →
dust29–13-0.0335%12 Oct →
dust212–120.0433%12 Oct →
ancient7–130.0725%8 Oct →
inferno9–130.0132%3 Oct →
dust26–13-0.0410%24 Sept →
mirage13–100.0511%24 Sept →
dust27–130.0543%22 Sept →
dust211–130.0221%22 Sept →
dust213–100.0522%22 Sept →
nuke3–13-0.0214%22 Sept →
mirage7–13-0.0727%15 Sept →
mirage13–60.0327%10 Sept →
dust213–20.1329%10 Sept →
dust213–100.1325%10 Sept →
dust26–13-0.0435%10 Sept →
dust213–50.0427%10 Sept →
dust212–12-0.0123%10 Sept →
dust213–60.0917%9 Sept →
dust212–120.0224%9 Sept →
dust213–11-0.0122%9 Sept →
inferno6–130.0032%2 Sept →
dust210–130.0825%2 Sept →
dust213–60.0319%2 Sept →
dust25–130.0113%30 Aug →
nuke2–13-0.0720%30 Aug →
inferno7–130.1210%30 Aug →
dust212–120.0113%30 Aug →
dust26–130.0135%30 Aug →
nuke13–20.0333%27 Aug →
dust210–130.0318%27 Aug →
dust25–13-0.0329%27 Aug →
nuke13–40.1422%26 Aug →
ancient4–13-0.0140%26 Aug →
dust213–60.1128%18 Aug →
ancient2–11-0.0320%13 Aug →
dust28–130.038%11 Aug →
inferno9–70.088%6 Jun →
dust24–130.0521%6 Jun →
dust213–50.0214%6 Jun →
cache9–13-0.013%6 Jun →
dust26–13-0.070%6 Jun →
dust211–130.079%1 Jun →
nuke13–90.0524%28 May →
dust213–00.1419%24 May →
dust27–130.0434%21 May →
cache5–13-0.0517%13 May →
dust25–13-0.0121%9 May →
nuke4–13-0.0915%8 May →
ancient13–40.048%6 May →
ancient12–120.0532%6 May →
anubis5–13-0.0521%4 May →
dust211–130.0827%30 Apr →
cache5–13-0.0336%30 Apr →
mirage7–13-0.0311%26 Apr →
dust27–130.0323%26 Apr →
anubis9–13-0.0516%22 Apr →
dust213–60.1425%16 Apr →
dust210–130.0114%16 Apr →
dust27–130.0416%13 Apr →
italy10–00.0311%6 Apr →
inferno13–110.0321%3 Apr →
dust213–40.0714%1 Apr →
dust210–130.0129%30 Mar →
dust23–130.0329%24 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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