Dovasi

Dovasi — CS2 Stats

76561198190860502[U:1:230594774]Steam profile ↗VAC banned · 1 game ban

802Tracked matches55%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
Premier CS Rating23,624Top 25% of 213,211 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#36568 of 259896 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (2 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: 23,624 +2,464 20 Jul – 2 Nov · 45 days played
21,16024,727peak 24,72720 Jul2 Nov
Faceit ELO: 1,838 +0 3 Sept – 30 Oct · 4 observations
1,8381,838peak 1,8383 Sept30 Oct
24,999Peak Premier in tracked matches
1,838Highest Faceit ELO seen on CSDB
44Days played since 2026-07-20

Faceit ELO

  • At peak — 1,838
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 163 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-03
  • Level 8 first seen 2026-09-03

Premier CS Rating

  • 1,103 below peak (24,727)
  • +644 over 30 days · improving
  • +844 over 90 days
  • Next: Red band at 25,000 — 1,376 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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.GGDovasiPREMIER23,624 · Pink band30 DAYS0 ELOPEAK ELO1,838csdb.gg/stats

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Performance scores

Aim75
Positioning64
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateLLWLWLWLLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −3.5pp headshot accuracy · +21ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 489ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 504ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 493ms

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 (+1.9 against its own average).

Aim7.5
Utility5.4
Positioning6.4
Opening Duels3.5
Clutch2.6

Strong T-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

jL

Plays most like jL 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 36% on CT — first contacts on the defending side are being lost.

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

Aim7.5
Positioning6.4
Utility5.4
Mechanics4.4
Opening Duels4.6
Win Impact6.7

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time482ms−64ms
first ⅓ avg 547ms → last ⅓ avg 482ms
Headshot accuracy19.6%−1.8%
first ⅓ avg 21.5% → last ⅓ avg 19.6%

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

0.17Best match rating · 13–0 · ancient, 18 Aug →
47%Best headshot accuracy · 13–3 · nuke, 22 Jul →
344msFastest reaction time · 13–10 · ancient, 6 Oct →
13–0Biggest win · ancient, 18 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
11–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 68% over 22dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheA2314–961%0.02
nukeS2215–768%0.02
mirageA2011–955%0.03
dust2D103–730%0.01
ancientD103–730%0.00
anubisC83–538%-0.00
infernoB63–350%0.02
office—11–0100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

230Matches
59%Win rate
1.23Avg K/D
73.8ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3967%1.0415.2
Nuke2162%1.0514.9
Inferno1850%0.9714.8
Ancient1338%0.8513.9
Train1283%1.6215.3
Anubis633%0.9314.5
Dust2560%1.3120.2
Overpass250%1.0717.5

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.

19.8%Headshot accuracy
33.6%Accuracy (enemy spotted)
37.5%Spray accuracy
70.0%Counter-strafing
9.1°Preaim
482msReaction time
61.2%T opening success
35.5%CT opening success
0.58Enemies flashed / flash
3.7%Flash assists
8.98HE damage / grenade
10.34Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.5213% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–130.0129%2 Nov →
anubis2–80.0225%2 Nov →
cache13–110.0610%2 Nov →
ancient11–13-0.0415%2 Nov →
cache13–80.0011%2 Nov →
ancient7–13-0.0623%1 Nov →
inferno13–70.0520%1 Nov →
anubis10–13-0.0017%30 Oct →
dust26–13-0.0024%30 Oct →
nuke13–8-0.0115%30 Oct →
nuke13–11-0.0027%30 Oct →
mirage15–150.0018%29 Oct →
nuke13–5-0.0024%29 Oct →
cache9–13-0.0420%28 Oct →
nuke13–60.039%27 Oct →
nuke13–8-0.0319%27 Oct →
mirage9–13-0.0228%27 Oct →
ancient10–13-0.0321%26 Oct →
mirage10–130.0530%22 Oct →
nuke13–100.0427%21 Oct →
mirage13–9-0.044%21 Oct →
inferno10–130.0314%21 Oct →
anubis13–110.0119%18 Oct →
nuke13–11-0.0238%18 Oct →
mirage16–140.0815%14 Oct →
nuke9–13-0.0511%14 Oct →
mirage13–70.0720%14 Oct →
dust29–13-0.0824%8 Oct →
cache13–70.0224%8 Oct →
ancient13–100.0217%6 Oct →
cache13–80.1021%4 Oct →
nuke15–150.0113%4 Oct →
ancient9–13-0.0615%4 Oct →
anubis13–30.0020%28 Sept →
mirage8–130.0413%11 Sept →
dust211–130.0323%5 Sept →
cache11–130.0632%23 Aug →
nuke13–60.0911%21 Aug →
dust210–13-0.0241%20 Aug →
mirage13–100.0325%20 Aug →
anubis8–13-0.0230%18 Aug →
dust213–50.0425%18 Aug →
cache13–40.0016%18 Aug →
ancient13–00.1721%18 Aug →
cache6–13-0.0510%16 Aug →
cache7–13-0.059%14 Aug →
ancient3–13-0.0336%12 Aug →
nuke13–100.0024%12 Aug →
cache13–60.0111%12 Aug →
nuke13–10.0429%12 Aug →
inferno13–11-0.0516%11 Aug →
mirage13–100.0319%11 Aug →
dust213–40.0121%11 Aug →
ancient7–13-0.0021%10 Aug →
mirage13–40.0126%10 Aug →
cache13–9-0.0130%9 Aug →
nuke11–13-0.0120%9 Aug →
anubis17–19-0.0620%7 Aug →
nuke13–40.0929%7 Aug →
mirage9–130.0213%5 Aug →
cache8–13-0.0123%5 Aug →
inferno8–130.0213%4 Aug →
nuke13–110.0417%4 Aug →
mirage5–13-0.0113%4 Aug →
dust213–11-0.0523%3 Aug →
cache13–110.0219%3 Aug →
office13–40.0115%3 Aug →
ancient8–13-0.0122%2 Aug →
nuke16–140.0115%2 Aug →
inferno13–110.0221%2 Aug →
mirage8–130.0329%2 Aug →
nuke6–130.0325%2 Aug →
mirage13–60.0218%31 Jul →
cache13–00.0527%31 Jul →
mirage15–150.0222%31 Jul →
nuke13–40.0430%30 Jul →
cache13–80.0723%30 Jul →
ancient13–100.0411%30 Jul →
mirage13–100.006%30 Jul →
cache13–30.1023%30 Jul →
nuke10–13-0.0228%30 Jul →
anubis9–13-0.0020%30 Jul →
dust211–130.0620%29 Jul →
mirage13–10.0429%29 Jul →
mirage13–60.0515%28 Jul →
cache15–150.0222%28 Jul →
inferno14–160.0213%27 Jul →
mirage7–130.0119%26 Jul →
cache15–15-0.0325%26 Jul →
dust215–150.0619%25 Jul →
mirage13–10.0718%24 Jul →
nuke14–16-0.049%23 Jul →
cache13–80.0212%23 Jul →
nuke13–30.1547%22 Jul →
anubis16–130.0225%22 Jul →
cache7–13-0.0022%22 Jul →
cache13–100.0114%21 Jul →
cache13–80.0425%21 Jul →
nuke6–130.0633%20 Jul →
cache13–16-0.0520%20 Jul →

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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