Prof.esora na Slava

Prof.esora na Slava — CS2 Stats

76561199104385923[U:1:1144120195]Steam profile ↗✓ No bans

241Tracked matches63%Win rate2024Tracked since
CSDB Rating5.0 DevelopingPositional Player
FaceitLevel 6 · 1,127 ELOTop 54.0% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,127 → 1,127
+6Tracked matches · now 241
0.0ppWin rate · 63.0% → 63.0%

Rating over time

Premier CS Rating: 13,479 +5,586 23 May – 15 Jan · 14 days played
7,89313,581peak 13,58123 May15 Jan
Faceit ELO: 1,127 +0 30 Aug – 3 Sept · 2 observations
1,1271,127peak 1,12730 Aug3 Sept
13,581Peak Premier in tracked matches
1,127Highest Faceit ELO seen on CSDB
57Days played since 2025-05-23

Faceit ELO

  • At peak — 1,127
  • Next: Level 6 at 1,201 — 74 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-08-30
  • Level 4 first seen 2026-08-30

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.GGProf.esora na SlavaFACEITLevel 6 · 1,127 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,127csdb.gg/stats

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Performance scores

Aim50
Positioning56
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY57–36–7Last 10057%Win rateWWWLLLTLWL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +5.1pp headshot accuracy · +20ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 672ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 660ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 650ms

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 (+0.9 against its own average).

Aim5.0
Utility5.1
Positioning5.6
Opening Duels4.6
Clutch3.4

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

donk

Plays most like donk 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 656ms 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

Aim5.0
Positioning5.6
Utility5.1
Mechanics5.5
Opening Duels3.7
Win Impact9.3

Composite 5.0/10 (Developing), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time656ms+5ms
first ⅓ avg 652ms → last ⅓ avg 656ms
Headshot accuracy10.8%+2.9%
first ⅓ avg 7.9% → last ⅓ avg 10.8%

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

0.14Best match rating · 1–6 · vertigo, 22 Aug →
23%Best headshot accuracy · 3–13 · dust2, 7 May →
406msFastest reaction time · 7–13 · inferno, 15 Nov →
13–0Biggest win · dust2, 30 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
4–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 71% over 7anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S3221–1166%0.02
infernoS2718–967%0.02
mirageC146–843%0.00
nukeC94–544%0.02
anubisD72–529%0.00
ancientS75–271%0.02
overpass—31–233%0.02
vertigo—10–10%0.14

Across the last 100 tracked matches.

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

Faceit stats

Combat

340Matches
50%Win rate
1.17Avg K/D
81.2ADR
31%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust211454%1.2315.5
Inferno6667%1.2216.2
Mirage6528%1.0916.5
Nuke3145%0.9915.2
Anubis2857%1.1216.5
Ancient2552%1.3217.7
Cache617%1.0016.0
Overpass450%1.0611.8

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.

10.8%Headshot accuracy
36.0%Accuracy (enemy spotted)
44.1%Spray accuracy
74.6%Counter-strafing
12.0°Preaim
656msReaction time
45.4%T opening success
44.4%CT opening success
0.62Enemies flashed / flash
7.1%Flash assists
16.03HE damage / grenade
3.91Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0022° — above the 12° mark we flag

    Aim Training →
  2. 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 10.8474% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.914 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–10-0.0113%23 Jun →
dust213–80.0717%18 Jun →
mirage13–5-0.0217%18 May →
nuke6–13-0.039%16 May →
anubis3–13-0.0519%7 May →
dust23–13-0.0623%7 May →
nuke15–150.027%4 May →
inferno11–13-0.0213%30 Apr →
dust213–00.0814%30 Apr →
ancient9–13-0.0314%27 Apr →
dust215–150.0011%27 Apr →
inferno13–20.025%27 Apr →
overpass13–80.0613%18 Apr →
ancient13–5-0.056%2 Apr →
ancient13–60.0218%22 Mar →
inferno9–4-0.044%3 Mar →
dust213–10-0.016%19 Feb →
mirage6–130.0010%31 Jan →
anubis16–140.0912%31 Jan →
inferno13–60.0111%23 Jan →
dust213–7-0.0016%23 Jan →
anubis7–13-0.007%21 Jan →
mirage12–120.145%21 Jan →
inferno13–40.097%21 Jan →
mirage4–13-0.062%15 Jan →
ancient16–120.0110%14 Jan →
inferno16–120.087%14 Jan →
mirage10–13-0.0311%14 Jan →
dust213–90.0512%13 Jan →
inferno2–13-0.085%13 Jan →
inferno13–50.1110%30 Dec →
inferno13–70.0115%29 Dec →
dust213–20.098%24 Dec →
dust212–120.0711%23 Dec →
mirage2–13-0.0213%23 Dec →
mirage13–7-0.0518%23 Dec →
inferno9–13-0.017%23 Dec →
dust213–5-0.027%28 Nov →
inferno16–14-0.019%18 Nov →
dust212–120.0516%17 Nov →
inferno7–13-0.078%15 Nov →
inferno15–150.0510%13 Nov →
dust211–130.1011%31 Oct →
mirage3–130.0217%29 Oct →
dust213–60.097%29 Oct →
dust211–13-0.0610%29 Oct →
inferno7–13-0.0710%18 Oct →
inferno13–40.1413%18 Oct →
dust25–130.0415%18 Oct →
nuke2–13-0.0211%18 Oct →
inferno13–40.047%17 Oct →
mirage13–100.0310%16 Oct →
inferno13–60.0113%16 Oct →
nuke11–130.007%14 Oct →
overpass5–13-0.037%8 Oct →
dust211–130.0110%5 Oct →
inferno13–30.1016%5 Oct →
dust213–10.135%15 Sept →
dust213–00.0614%8 Sept →
dust213–7-0.036%3 Sept →
ancient13–100.072%22 Aug →
vertigo1–60.1414%22 Aug →
inferno13–60.069%21 Aug →
mirage13–80.067%20 Aug →
inferno12–120.053%20 Aug →
inferno16–140.015%18 Aug →
nuke13–50.067%14 Aug →
mirage1–13-0.075%11 Aug →
mirage13–80.048%17 Jul →
dust213–70.056%17 Jul →
overpass4–110.015%17 Jul →
dust213–50.0111%15 Jul →
mirage5–13-0.0610%9 Jul →
inferno13–40.006%8 Jul →
dust216–130.069%8 Jul →
dust216–13-0.025%21 Jun →
nuke7–13-0.016%21 Jun →
nuke13–70.012%21 Jun →
anubis10–13-0.0410%21 Jun →
inferno13–80.1311%21 Jun →
dust213–60.0314%21 Jun →
ancient13–100.086%20 Jun →
nuke13–20.1311%20 Jun →
ancient13–160.049%15 Jun →
inferno13–10-0.027%15 Jun →
anubis13–110.0012%9 Jun →
dust211–13-0.018%9 Jun →
mirage13–100.035%9 Jun →
dust213–70.028%6 Jun →
dust213–8-0.019%6 Jun →
anubis5–13-0.014%6 Jun →
dust210–13-0.0318%6 Jun →
dust213–9-0.009%6 Jun →
dust213–70.057%4 Jun →
inferno10–13-0.042%3 Jun →
dust211–13-0.028%3 Jun →
nuke13–90.026%3 Jun →
anubis4–130.025%23 May →
dust213–10-0.0213%23 May →
inferno6–130.097%23 May →

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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