СЛАВЯНИН

СЛАВЯНИН — CS2 Stats

TD76561199068358790[U:1:1108093062]Steam profile ↗✓ No bans

232Tracked matches46%Win rate2020Tracked since
CSDB Rating4.7 DevelopingAll-Rounder
Premier CS Rating20,163Top 50% of 175,286 CSDB-tracked playersPink band · top ~8.3% of ranked players (population est.)
CSDB Leaderboard#69670 of 219961 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 232 tracked matches. Play, then come back: the next observation lands here.

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. 51 days played since 10 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,163 +1,954 1 May13 Sept · 30 days played
17,36723,002peak 23,0021 May13 Sept
23,339Peak Premier in tracked matches
51Days played since 2026-04-10

Premier CS Rating

  • 2,839 below peak (23,002)
  • -2,498 over 30 days · declining
  • +2,689 over 90 days
  • Next: Red band at 25,000 4,837 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-09
  • Purple band first seen 2026-09-09

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.GGСЛАВЯНИНFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER20,163 · Pink bandcsdb.gg/stats

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Performance scores

Aim54
Positioning52
Utility39

0–100 skill scores via Leetify.

Recent form

COLD47467Last 10047%Win rateWLWLLLLTLL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · +9.4pp headshot accuracy · +60ms reaction

Win rate down 30pp 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 559ms

Last 10

  • 271 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 598ms

Last 20

  • 7121 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 568ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim5.4
Utility3.9
Positioning5.2
Opening Duels4.7

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

m0NESY

Plays most like m0NESY 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 52% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 606ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim5.4
Positioning5.2
Utility3.9
Mechanics4.2
Opening Duels3.6
Win Impact3.8

Composite 4.7/10 (Developing), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time606ms+11ms
first ⅓ avg 595ms → last ⅓ avg 606ms
Headshot accuracy18.6%+3.7%
first ⅓ avg 14.9% → last ⅓ avg 18.6%

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

0.26Best match rating · 8–8 · vertigo, 10 Jun
60%Best headshot accuracy · 0–4 · mirage, 2 Sept
422msFastest reaction time · 8–13 · dust2, 1 Sept
13–0Biggest win · mirage, 20 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
85In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 67% over 18anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B32161650%0.01
mirageS1812667%0.04
anubisD112918%0.02
ancientA106460%0.05
cacheD62433%0.07
infernoC52340%0.07
vertigoA53260%0.06
nuke42250%0.01
office31233%-0.03
train31233%0.01
italy1010%-0.02
overpass1010%-0.03
alpine1010%-0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

25Matches
64%Win rate
1.27Avg K/D
ADR
35%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.509.0
Inferno10%1.5021.0

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.

16.3%Headshot accuracy
33.7%Accuracy (enemy spotted)
38.0%Spray accuracy
68.9%Counter-strafing
10.8°Preaim
606msReaction time
36.5%T opening success
52.3%CT opening success
0.48Enemies flashed / flash
5.8%Flash assists
7.99HE damage / grenade
8.63Flashes / 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. 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 0.4772 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 36.4613% — below the 40% mark we flag

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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–110.0110%12 Sept
dust24–13-0.028%12 Sept
office13–110.0517%2 Sept
anubis8–13-0.0614%2 Sept
office9–13-0.0924%2 Sept
dust21–13-0.0332%2 Sept
mirage0–4-0.0260%2 Sept
cache12–120.0313%1 Sept
dust28–130.0423%1 Sept
dust21–13-0.088%1 Sept
ancient8–130.0817%1 Sept
inferno5–13-0.0115%27 Aug
inferno9–20.2414%22 Aug
inferno6–90.0314%22 Aug
dust213–2-0.076%22 Aug
anubis7–130.015%14 Aug
anubis14–16-0.019%14 Aug
ancient13–90.0213%14 Aug
ancient13–50.0415%12 Aug
inferno13–9-0.027%9 Aug
nuke13–20.0216%9 Aug
dust21–60.1150%7 Aug
mirage13–90.1421%7 Aug
mirage15–15-0.0121%3 Aug
dust213–60.0114%3 Aug
anubis11–130.0918%3 Aug
vertigo9–70.0030%31 Jul
dust29–00.0729%31 Jul
mirage13–90.0624%29 Jul
mirage10–130.0312%29 Jul
dust213–90.0619%28 Jul
dust213–8-0.0412%26 Jul
dust29–13-0.0325%26 Jul
inferno8–130.0825%26 Jul
dust20–90.0121%25 Jul
dust211–130.1014%24 Jul
mirage13–00.0120%20 Jul
mirage13–50.0214%17 Jul
anubis6–130.0612%17 Jul
mirage13–30.0815%17 Jul
cache16–140.0415%16 Jul
dust213–90.0923%15 Jul
mirage13–70.1618%15 Jul
dust27–13-0.1119%15 Jul
mirage13–20.1610%15 Jul
dust27–130.0822%11 Jul
dust26–130.0218%10 Jul
ancient16–130.1014%10 Jul
mirage11–130.1122%10 Jul
ancient13–40.1311%10 Jul
dust213–2-0.0411%9 Jul
dust213–10-0.0310%9 Jul
ancient9–130.0916%9 Jul
office7–13-0.0613%8 Jul
mirage10–2-0.0318%2 Jul
dust213–70.0418%1 Jul
dust213–50.1024%25 Jun
mirage11–130.039%25 Jun
dust216–120.0911%20 Jun
train0–7-0.060%20 Jun
dust21–130.0228%19 Jun
italy5–13-0.0213%16 Jun
dust24–13-0.0617%16 Jun
ancient13–4-0.0324%11 Jun
vertigo8–80.2616%10 Jun
vertigo13–90.0422%9 Jun
vertigo3–9-0.070%4 Jun
anubis8–130.059%30 May
anubis13–70.0225%30 May
anubis4–130.1119%30 May
anubis1–9-0.110%27 May
mirage7–130.0324%24 May
mirage13–5-0.0219%14 May
dust213–80.0215%12 May
dust213–110.0417%12 May
dust213–80.0011%12 May
overpass8–8-0.0311%11 May
mirage13–110.038%9 May
dust22–0-0.010%9 May
cache9–130.0519%7 May
cache13–50.1314%7 May
nuke12–12-0.0620%2 May
nuke12–120.0419%2 May
cache12–120.0914%2 May
dust24–13-0.0311%1 May
anubis8–130.039%1 May
ancient7–130.0519%1 May
dust28–13-0.0314%1 May
dust213–2-0.0113%1 May
mirage13–4-0.0332%1 May
dust28–130.0219%1 May
nuke13–100.038%1 May
cache8–120.0811%29 Apr
mirage13–5-0.0120%26 Apr
ancient13–60.1016%23 Apr
train13–100.0619%22 Apr
train7–130.047%22 Apr
alpine1–11-0.1120%18 Apr
ancient0–6-0.0313%14 Apr
vertigo13–110.0715%10 Apr

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 →