Bogdan

Bogdan — CS2 Stats

FI76561198028602504[U:1:68336776]Steam profile ↗VAC banned

381Tracked matches66%Win rate2021Tracked since
CSDB Rating5.1 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 381 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,642 +2,120 5 Apr – 29 Apr · 7 days played
12,52214,986peak 14,9865 Apr29 Apr
14,999Peak Premier in tracked matches
41Days played since 2026-02-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim56
Positioning52
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY51–40–9Last 10051%Win rateLWLLTLWWLW

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · +4.1pp headshot accuracy · −39ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 691ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 665ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 684ms

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 (+1.4 against its own average).

Aim5.6
Utility3.3
Positioning5.2
Opening Duels2.8

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

donk

Plays most like donk 90% 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

Reaction time. 699ms 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

Aim5.6
Positioning5.2
Utility3.3
Mechanics5.2
Opening Duels1.4
Win Impact10.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time699ms−26ms
first ⅓ avg 726ms → last ⅓ avg 699ms
Headshot accuracy24.6%−1.4%
first ⅓ avg 26.0% → last ⅓ avg 24.6%

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 · 13–2 · mirage, 28 Feb →
57%Best headshot accuracy · 7–3 · inferno, 5 Mar →
477msFastest reaction time · 13–8 · mirage, 26 Apr →
13–0Biggest win · inferno, 7 Mar →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 45% over 29
MapGradePlayedRecordWin rateAvg rating
infernoB2913–1645%0.01
mirageB2815–1354%0.03
ancientB126–650%0.02
dust2A116–555%-0.01
nukeB84–450%-0.03
cacheA53–260%0.01
anubis—44–0100%-0.02
overpass—20–20%-0.04
boulder—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 29). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

24.3%Headshot accuracy
29.9%Accuracy (enemy spotted)
33.9%Spray accuracy
73.2%Counter-strafing
9.0°Preaim
699msReaction time
28.9%T opening success
41.0%CT opening success
0.44Enemies flashed / flash
3.4%Flash assists
4.70HE damage / grenade
4.83Flashes / 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 0.4432 — 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 28.9473% — below the 40% mark we flag

Spend your practice time on Inferno

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

45% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust26–130.0215%10 Jul →
cache7–20.0215%10 Jul →
inferno8–13-0.0524%10 Jul →
boulder1–13-0.0833%10 Jul →
cache12–12-0.0122%7 May →
cache9–13-0.0119%5 May →
cache13–10-0.0131%5 May →
cache13–20.0729%4 May →
ancient13–160.0632%29 Apr →
nuke13–70.0152%29 Apr →
mirage13–60.0118%29 Apr →
dust212–160.0022%28 Apr →
anubis13–3-0.0017%28 Apr →
ancient13–70.0524%27 Apr →
mirage13–30.0537%27 Apr →
mirage13–100.0024%26 Apr →
mirage13–8-0.0224%26 Apr →
nuke13–4-0.0024%24 Apr →
overpass9–13-0.0223%24 Apr →
ancient13–80.0119%24 Apr →
dust28–13-0.0224%24 Apr →
inferno13–80.0427%24 Apr →
ancient13–50.0119%22 Apr →
inferno9–13-0.0825%22 Apr →
anubis16–14-0.0514%6 Apr →
ancient13–50.0726%6 Apr →
inferno13–70.0427%6 Apr →
anubis13–70.0013%5 Apr →
mirage11–13-0.0224%28 Mar →
dust213–20.0428%28 Mar →
dust213–11-0.0028%27 Mar →
inferno13–4-0.0122%27 Mar →
ancient13–40.0328%27 Mar →
mirage1–130.0646%26 Mar →
ancient12–12-0.0233%25 Mar →
nuke7–13-0.0815%25 Mar →
inferno13–50.0831%25 Mar →
ancient11–130.0519%22 Mar →
inferno12–120.1130%22 Mar →
inferno0–4-0.090%22 Mar →
dust212–120.0124%19 Mar →
inferno6–130.0214%19 Mar →
mirage3–13-0.0220%19 Mar →
mirage13–6-0.0118%18 Mar →
inferno13–70.0233%17 Mar →
mirage6–13-0.0017%17 Mar →
inferno11–130.0224%16 Mar →
mirage13–50.0621%16 Mar →
overpass7–13-0.0624%15 Mar →
inferno13–80.1226%15 Mar →
inferno7–130.0119%14 Mar →
inferno13–10-0.0118%14 Mar →
nuke4–13-0.0530%12 Mar →
dust213–9-0.0224%10 Mar →
inferno10–130.0233%10 Mar →
inferno13–00.0519%7 Mar →
mirage13–40.0323%7 Mar →
inferno7–13-0.0536%5 Mar →
inferno7–3-0.0157%5 Mar →
mirage13–8-0.059%4 Mar →
anubis9–2-0.027%4 Mar →
mirage10–13-0.0125%4 Mar →
mirage13–20.1724%28 Feb →
dust213–5-0.0230%28 Feb →
mirage10–20.1214%27 Feb →
mirage11–13-0.0033%27 Feb →
dust23–13-0.0832%27 Feb →
mirage13–50.0118%27 Feb →
inferno13–20.0231%25 Feb →
inferno5–13-0.0422%25 Feb →
inferno5–13-0.0224%25 Feb →
inferno6–130.0026%21 Feb →
mirage12–120.0822%21 Feb →
mirage7–10.0539%21 Feb →
dust216–12-0.0127%20 Feb →
ancient15–150.0029%20 Feb →
ancient13–50.0543%18 Feb →
inferno13–50.0320%18 Feb →
ancient9–13-0.0225%17 Feb →
inferno6–130.0532%17 Feb →
mirage6–50.1344%17 Feb →
mirage11–130.0125%15 Feb →
inferno12–12-0.0426%15 Feb →
mirage12–12-0.0230%15 Feb →
mirage13–30.0225%13 Feb →
inferno13–4-0.0821%13 Feb →
mirage13–100.1029%13 Feb →
nuke13–10.0323%12 Feb →
dust213–50.0222%12 Feb →
ancient12–12-0.0224%12 Feb →
nuke13–7-0.0914%12 Feb →
inferno13–20.0428%12 Feb →
mirage13–60.0621%12 Feb →
mirage7–130.0124%11 Feb →
nuke14–16-0.0511%10 Feb →
mirage1–13-0.0333%10 Feb →
inferno7–80.0725%10 Feb →
inferno2–110.0528%8 Feb →
nuke5–13-0.0313%8 Feb →
mirage9–130.1033%8 Feb →

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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