Vovota

Vovota — CS2 Stats

CZ76561198120025397[U:1:159759669]Steam profile ↗✓ No bans

1,009Tracked matches48%Win rate2020Tracked since
CSDB Rating3.0 LearningSupport
FaceitLevel 3 · 815 ELOTop 90.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 815 → 815
+37Tracked matches · now 1,009
+5.4ppWin rate · 42.9% → 48.3%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 28 Dec 2025. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 815 +0 29 Aug2 Sept · 2 observations
815815peak 81529 Aug2 Sept
815Highest Faceit ELO seen on CSDB
37Days played since 2025-12-28

Faceit ELO

  • At peak — 815
  • Next: Level 4 at 901 86 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-29
  • Level 2 first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGVovotaFACEITLevel 3 · 815 ELOSTANDINGTop 90.6% of rankedPEAK ELO815csdb.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

Aim29
Positioning40
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY44479Last 10044%Win rateWTWWLLWLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −0.2pp headshot accuracy · +139ms 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

  • 311 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 752ms

Last 10

  • 631 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 718ms

Last 20

  • 1181 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 649ms

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: SupportUtility contribution stands above the rest of this profile (+1.5 against its own average).

Aim2.9
Utility4.4
Positioning4.0
Opening Duels0.6
Clutch2.8

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

NiKo

Plays most like NiKo 65% 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

Areas to improve

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim2.9
Positioning4.0
Utility4.4
Mechanics3.1
Opening Duels0.7
Win Impact4.4

Composite 3.0/10 (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+0.03
first ⅓ avg -0.06 → last ⅓ avg -0.03
Reaction time649ms−39ms
first ⅓ avg 688ms → last ⅓ avg 649ms
Headshot accuracy13.7%−2.4%
first ⅓ avg 16.1% → last ⅓ avg 13.7%

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

0.16Best match rating · 9–1 · nuke, 17 Feb
33%Best headshot accuracy · 5–9 · rooftop, 13 Jan
422msFastest reaction time · 1–9 · inferno, 20 Jul
13–1Biggest win · mirage, 16 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
127In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 60% over 15vertigoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC34151944%-0.06
mirageA159660%-0.01
nukeB158753%-0.04
vertigoD72529%-0.08
overpassC73443%-0.09
dust2D72529%-0.01
cache42250%0.02
anubis32167%-0.05
ancient2020%-0.05
rooftop2020%-0.07
train1010%-0.04
alpine1010%-0.07
italy110100%0.09
poseidon1010%-0.20

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

461Matches
48%Win rate
0.81Avg K/D
73.6ADR
35%Headshot %

Clutches & streaks

34%1v1 clutch win
14%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4747%0.9614.2
Dust23355%0.8613.8
Ancient2335%0.8113.2
Inferno1567%0.9915.3
Nuke1242%0.9215.1
Anubis1030%0.7711.8
Train771%1.0311.7
Cache450%0.9417.5

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.

14.3%Headshot accuracy
26.2%Accuracy (enemy spotted)
30.5%Spray accuracy
64.0%Counter-strafing
10.1°Preaim
637msReaction time
29.5%T opening success
35.7%CT opening success
0.41Enemies flashed / flash
6.9%Flash assists
10.40HE damage / grenade
6.61Flashes / 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 14.2815% — 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 0.4073 — 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 29.4546% — below the 40% mark we flag

Spend your practice time on Vertigo

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo9–60.0717%17 Sept
vertigo8–8-0.088%17 Sept
mirage13–10.0115%16 Sept
inferno9–70.0110%15 Sept
inferno4–9-0.107%15 Sept
nuke7–9-0.0314%15 Sept
overpass9–7-0.0123%15 Sept
nuke6–9-0.0610%9 Sept
inferno9–7-0.0518%9 Sept
nuke9–7-0.047%9 Sept
nuke9–60.0228%9 Sept
inferno6–9-0.0811%7 Sept
mirage8–4-0.0611%7 Sept
anubis13–5-0.092%6 Sept
nuke3–13-0.053%6 Sept
inferno13–40.0520%5 Sept
inferno13–10.0310%4 Sept
mirage7–13-0.0421%16 Aug
ancient11–130.0210%16 Aug
anubis4–13-0.0414%15 Aug
mirage9–13-0.0216%15 Aug
train12–12-0.0416%12 Aug
mirage7–130.049%30 Jul
mirage9–3-0.0121%29 Jul
dust213–5-0.0418%29 Jul
mirage13–5-0.039%29 Jul
inferno5–13-0.0712%29 Jul
inferno7–9-0.155%28 Jul
inferno8–8-0.0221%28 Jul
inferno9–4-0.003%28 Jul
cache13–100.0717%27 Jul
dust25–13-0.0425%27 Jul
mirage11–13-0.1023%26 Jul
ancient7–13-0.1113%26 Jul
cache8–13-0.0221%26 Jul
cache13–9-0.0312%26 Jul
inferno7–13-0.0413%26 Jul
nuke13–11-0.0113%26 Jul
cache6–130.0615%22 Jul
mirage13–11-0.055%22 Jul
overpass2–9-0.2213%22 Jul
vertigo0–9-0.2425%22 Jul
inferno9–4-0.0313%22 Jul
inferno9–6-0.0414%22 Jul
nuke4–9-0.227%20 Jul
nuke5–9-0.223%20 Jul
inferno1–9-0.2027%20 Jul
nuke9–7-0.1113%8 Jul
nuke4–9-0.1017%8 Jul
nuke9–3-0.0517%8 Jul
inferno9–7-0.035%6 Jul
overpass9–5-0.120%6 Jul
vertigo3–9-0.2010%6 Jul
dust213–40.0816%8 Apr
mirage13–80.1010%8 Apr
dust28–130.0518%8 Apr
mirage7–13-0.0121%8 Apr
nuke4–120.0719%31 Mar
dust25–13-0.047%31 Mar
anubis13–8-0.0317%24 Mar
mirage13–50.0412%24 Mar
alpine12–12-0.076%24 Mar
inferno13–100.0813%20 Mar
italy13–80.0911%20 Mar
mirage13–60.0418%20 Mar
nuke13–50.0126%20 Mar
dust29–13-0.0615%19 Mar
overpass9–7-0.0614%9 Mar
inferno9–5-0.0627%9 Mar
vertigo9–7-0.0922%9 Mar
inferno9–5-0.0112%24 Feb
inferno9–6-0.026%24 Feb
inferno4–9-0.1322%24 Feb
vertigo8–8-0.0213%17 Feb
inferno9–6-0.0921%17 Feb
inferno5–9-0.1232%17 Feb
nuke9–10.1614%17 Feb
vertigo4–90.0123%3 Feb
inferno9–70.1519%3 Feb
poseidon1–9-0.2021%3 Feb
dust28–13-0.009%3 Feb
mirage13–40.0417%3 Feb
inferno8–8-0.1219%13 Jan
rooftop5–9-0.1233%13 Jan
overpass5–9-0.1518%8 Jan
overpass7–9-0.0218%7 Jan
inferno9–30.0712%7 Jan
inferno6–9-0.1210%6 Jan
inferno8–8-0.150%6 Jan
overpass6–9-0.076%6 Jan
inferno7–9-0.0921%5 Jan
inferno6–9-0.183%5 Jan
inferno3–9-0.144%5 Jan
inferno8–8-0.124%5 Jan
inferno6–9-0.0216%5 Jan
rooftop6–9-0.0320%3 Jan
nuke9–7-0.0126%3 Jan
mirage5–13-0.0621%30 Dec
inferno7–9-0.0626%28 Dec
inferno8–8-0.093%28 Dec

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 →