väsynyt

väsynyt — CS2 Stats

76561198179673671[U:1:219407943]Steam profile ↗✓ No bans

378Tracked matches37%Win rate2022Tracked since
CSDB Rating3.1 LearningPositional Player
CSDB Leaderboard#79370 of 259973 tracked
FaceitLevel 5 · 963 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,297 +316 31 Jul – 10 Oct · 21 days played
19,69122,731peak 22,73131 Jul10 Oct
Faceit ELO: 963 +0 5 Sept – 14 Sept · 2 observations
963963peak 9635 Sept14 Sept
22,731Peak Premier in tracked matches
963Highest Faceit ELO seen on CSDB
36Days played since 2026-07-29

Faceit ELO

  • At peak — 963
  • Next: Level 5 at 1,051 — 88 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-05
  • Level 3 first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGväsynytFACEITLevel 5 · 963 ELOSTANDINGTop 67.6% of rankedPEAK ELO963csdb.gg/stats

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Performance scores

Aim60
Positioning35
Utility20

0–100 skill scores via Leetify.

Recent form

COLD51–49Last 10051%Win rateLLLLLLWWLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +3.3pp headshot accuracy · +38ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 556ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 559ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 540ms

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 (+1.7 against its own average).

Aim6.0
Utility2.0
Positioning3.5
Opening Duels0.0
Clutch1.8

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

iM

Plays most like iM 92% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; 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

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

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.0
Positioning3.5
Utility2.0
Mechanics3.4
Opening Duels0.2
Win Impact0.6

Composite 3.1/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time534ms−110ms
first ⅓ avg 644ms → last ⅓ avg 534ms
Headshot accuracy12.0%−2.9%
first ⅓ avg 14.9% → last ⅓ avg 12.0%

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

0.13Best match rating · 13–8 · mirage, 23 Sept →
36%Best headshot accuracy · 13–3 · anubis, 15 Sept →
352msFastest reaction time · 13–8 · dust2, 22 Aug →
13–1Biggest win · ancient, 18 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L6Current streak
9–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 73% over 11mirageWeakest map · 41% over 27
MapGradePlayedRecordWin rateAvg rating
mirageC2711–1641%-0.03
nukeB2010–1050%-0.06
anubisS1812–667%-0.01
ancientS118–373%-0.03
cacheB105–550%-0.04
dust2B84–450%-0.03
inferno—30–30%-0.04
vertigo—20–20%-0.07
train—11–0100%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (41% over 27). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

93Matches
51%Win rate
0.90Avg K/D
65.0ADR
31%Headshot %

Clutches & streaks

29%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2138%0.7311.6
Nuke1625%0.6510.4
Ancient1573%1.0213.1
Anubis1182%1.0012.7
Cache1145%1.0614.6
Dust2978%1.1214.1
Vertigo333%0.7912.7
Inferno10%0.213.0

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.

10.4%Headshot accuracy
36.4%Accuracy (enemy spotted)
41.8%Spray accuracy
65.5%Counter-strafing
10.0°Preaim
533msReaction time
31.6%T opening success
28.4%CT opening success
0.28Enemies flashed / flash
2.2%Flash assists
5.05HE damage / grenade
3.58Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.3735% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2774 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.5833% — below the 40% mark we flag

Spend your practice time on Mirage

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

41% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke0–5-0.0817%2 Nov →
mirage9–13-0.068%10 Oct →
mirage10–13-0.050%30 Sept →
nuke4–13-0.0515%23 Sept →
anubis6–13-0.0521%23 Sept →
inferno3–12-0.0414%23 Sept →
mirage13–80.139%23 Sept →
anubis13–110.0310%23 Sept →
mirage6–13-0.019%22 Sept →
dust216–14-0.0317%21 Sept →
anubis10–13-0.050%20 Sept →
mirage6–13-0.0916%20 Sept →
nuke10–13-0.088%20 Sept →
nuke13–16-0.069%18 Sept →
ancient13–10.0625%18 Sept →
vertigo13–16-0.0410%17 Sept →
nuke13–7-0.064%17 Sept →
vertigo2–13-0.100%16 Sept →
anubis13–30.058%16 Sept →
nuke13–5-0.046%16 Sept →
ancient13–20.0511%16 Sept →
mirage10–13-0.069%15 Sept →
anubis13–30.0136%15 Sept →
mirage8–13-0.0818%15 Sept →
ancient16–13-0.056%13 Sept →
mirage7–130.0218%12 Sept →
nuke8–13-0.090%12 Sept →
mirage7–13-0.040%8 Sept →
nuke13–70.018%5 Sept →
dust28–13-0.0614%5 Sept →
mirage13–110.0313%4 Sept →
mirage13–4-0.0335%4 Sept →
anubis13–110.0123%4 Sept →
ancient13–7-0.0011%4 Sept →
nuke9–10.1224%3 Sept →
mirage10–13-0.0010%3 Sept →
dust27–13-0.0711%3 Sept →
anubis10–13-0.035%3 Sept →
train13–10-0.0920%2 Sept →
nuke10–13-0.0514%2 Sept →
ancient3–13-0.0513%2 Sept →
anubis13–8-0.0210%30 Aug →
ancient13–6-0.053%30 Aug →
mirage13–9-0.074%29 Aug →
nuke2–9-0.160%28 Aug →
nuke1–9-0.2217%28 Aug →
ancient16–14-0.0115%28 Aug →
anubis5–13-0.104%28 Aug →
nuke13–11-0.090%27 Aug →
mirage5–13-0.120%27 Aug →
dust213–110.0612%26 Aug →
inferno3–13-0.096%25 Aug →
cache19–22-0.0513%25 Aug →
cache13–40.0212%23 Aug →
ancient11–13-0.083%23 Aug →
anubis13–5-0.036%23 Aug →
mirage5–130.0318%23 Aug →
dust213–80.0014%22 Aug →
anubis13–80.017%22 Aug →
dust213–40.0513%21 Aug →
mirage10–130.0113%21 Aug →
cache13–1-0.028%21 Aug →
anubis13–70.0511%21 Aug →
cache13–16-0.0410%21 Aug →
mirage22–19-0.0312%21 Aug →
mirage13–4-0.0423%20 Aug →
mirage10–13-0.0310%20 Aug →
mirage5–13-0.0319%20 Aug →
nuke13–4-0.0215%19 Aug →
cache13–7-0.058%19 Aug →
nuke13–9-0.0526%19 Aug →
anubis11–13-0.038%19 Aug →
anubis11–13-0.0210%17 Aug →
anubis13–9-0.0519%13 Aug →
mirage16–130.0219%11 Aug →
mirage10–13-0.0714%11 Aug →
anubis13–11-0.0316%11 Aug →
ancient13–9-0.0420%11 Aug →
cache11–13-0.038%11 Aug →
nuke13–10-0.0322%11 Aug →
mirage6–2-0.0316%11 Aug →
ancient6–13-0.059%7 Aug →
nuke3–13-0.093%1 Aug →
dust210–13-0.058%1 Aug →
mirage13–8-0.045%1 Aug →
cache8–13-0.0119%1 Aug →
nuke12–16-0.0512%1 Aug →
nuke13–8-0.0115%1 Aug →
anubis13–110.0114%1 Aug →
mirage13–7-0.0012%1 Aug →
cache13–5-0.0611%31 Jul →
inferno9–130.0117%31 Jul →
anubis13–3-0.0014%31 Jul →
mirage4–13-0.0423%29 Jul →
ancient13–3-0.0813%29 Jul →
cache13–10-0.0630%29 Jul →
cache8–13-0.1017%29 Jul →
dust23–13-0.1113%29 Jul →
mirage13–7-0.0820%29 Jul →
nuke13–8-0.0815%29 Jul →

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 →

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