〠 HEJFLICKA 〠

〠 HEJFLICKA 〠 — CS2 Stats

SE76561198271176991[U:1:310911263]Steam profile ↗✓ No bans

3,916Tracked matches40%Win rate2020Tracked since
CSDB Rating4.7 DevelopingSupport
FaceitLevel 6 · 995 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 995 → 995
+44Tracked matches · now 3,916
−13.3ppWin rate · 53.3% → 40.0%
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. 29 days played since 3 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Faceit ELO: 995 +0 31 Aug22 Sept · 4 observations
995995peak 99531 Aug22 Sept
14,511Peak Premier in tracked matches
995Highest Faceit ELO seen on CSDB
29Days played since 2026-04-03

Faceit ELO

  • At peak — 995
  • Next: Level 5 at 1,051 56 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-31
  • Level 3 first seen 2026-08-31

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.GG〠 HEJFLICKA 〠FACEITLevel 6 · 995 ELOSTANDINGTop 54.0% of rankedPEAK ELO995csdb.gg/stats

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Performance scores

Aim68
Positioning44
Utility50

0–100 skill scores via Leetify.

Recent form

COLD4951Last 10049%Win rateWLLLLLWLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −5.3pp headshot accuracy · +4ms 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

  • 14 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 578ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 592ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 590ms

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 (+2 against its own average).

Aim6.8
Utility5.0
Positioning4.4
Opening Duels0.0
Clutch2.6

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

CT openings. Opening success drops from 54% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 576ms 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

Aim6.8
Positioning4.4
Utility5.0
Mechanics7.0
Opening Duels3.0
Win Impact1.7

Composite 4.7/10 (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 rating-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time585ms−71ms
first ⅓ avg 656ms → last ⅓ avg 585ms
Headshot accuracy14.8%+0.3%
first ⅓ avg 14.5% → last ⅓ avg 14.8%

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

0.07Best match rating · 13–5 · inferno, 13 Sept
36%Best headshot accuracy · 13–5 · dust2, 5 Apr
406msFastest reaction time · 13–11 · inferno, 6 Sept
13–1Biggest win · cache, 11 May

Across the last 100 tracked matches.

Highlights

4Longest win streak
1511In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 67% over 15ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A31171455%-0.03
mirageS1510567%-0.04
ancientD93633%-0.04
cacheD93633%-0.04
infernoB84450%-0.03
vertigoC83538%-0.04
anubisA53260%-0.02
nukeA53260%-0.05
cache_b42250%0.02
train31233%-0.06
overpass1010%-0.08
tuscan_d1010%-0.00
cbble_d1010%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

747Matches
49%Win rate
0.81Avg K/D
68.1ADR
38%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage10949%0.9113.3
Dust210156%0.7912.4
Ancient8755%0.7411.2
Anubis8243%0.8313.4
Inferno7050%0.8312.7
Nuke2941%0.7011.3
Vertigo2438%0.6810.8
Train60%0.458.0

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.

15.0%Headshot accuracy
33.9%Accuracy (enemy spotted)
33.9%Spray accuracy
81.6%Counter-strafing
8.6°Preaim
576msReaction time
54.1%T opening success
26.8%CT opening success
0.51Enemies flashed / flash
5.3%Flash assists
13.60HE damage / grenade
3.88Flashes / 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

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

    Flashes per match 3.8805 — below the 4 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

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

    CT opening duels 26.7773% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.0612%22 Sept
anubis7–13-0.110%22 Sept
vertigo7–13-0.0516%21 Sept
ancient7–13-0.0310%17 Sept
dust27–13-0.0413%17 Sept
dust211–13-0.0213%17 Sept
nuke13–4-0.0519%17 Sept
dust211–130.0417%17 Sept
anubis9–13-0.0112%14 Sept
ancient13–10-0.043%14 Sept
dust210–40.0113%14 Sept
dust211–13-0.0324%13 Sept
inferno13–50.0716%13 Sept
dust219–16-0.0518%13 Sept
nuke13–11-0.0716%13 Sept
cache13–7-0.038%12 Sept
dust211–13-0.0923%12 Sept
ancient10–13-0.0524%12 Sept
dust216–14-0.0416%12 Sept
ancient12–16-0.029%12 Sept
mirage2–13-0.1129%12 Sept
dust213–11-0.1013%12 Sept
inferno6–13-0.076%12 Sept
ancient11–13-0.0317%11 Sept
dust25–13-0.0520%11 Sept
vertigo9–13-0.0522%11 Sept
cache10–13-0.0314%11 Sept
cache8–130.0022%10 Sept
dust213–7-0.0514%10 Sept
mirage13–11-0.0513%6 Sept
vertigo10–13-0.058%6 Sept
inferno13–11-0.0218%6 Sept
mirage13–40.0212%6 Sept
inferno11–13-0.0633%6 Sept
dust216–14-0.0424%6 Sept
nuke8–13-0.0616%5 Sept
cache8–13-0.0730%5 Sept
dust213–6-0.0523%5 Sept
anubis13–8-0.0414%5 Sept
dust29–13-0.089%5 Sept
dust213–7-0.0013%4 Sept
dust24–130.0318%4 Sept
mirage11–13-0.067%30 Aug
vertigo4–13-0.104%30 Aug
dust213–9-0.0117%30 Aug
mirage16–12-0.0215%30 Aug
inferno11–13-0.038%30 Aug
mirage13–11-0.0818%29 Aug
vertigo13–4-0.0414%29 Aug
train13–16-0.0615%29 Aug
dust213–16-0.0214%29 Aug
dust213–11-0.0815%29 Aug
dust210–13-0.0412%29 Aug
cache8–13-0.0519%29 Aug
mirage16–14-0.039%29 Aug
dust213–11-0.0417%28 Aug
mirage13–6-0.029%28 Aug
inferno13–60.028%28 Aug
train10–13-0.1119%28 Aug
mirage5–13-0.0226%19 Jun
nuke3–13-0.0426%15 Jun
cache13–8-0.0825%11 May
vertigo10–13-0.0621%11 May
mirage8–13-0.0719%11 May
cache13–10.0123%11 May
cache10–13-0.055%8 May
nuke13–4-0.0317%8 May
cache9–13-0.0416%8 May
ancient19–17-0.0313%28 Apr
ancient8–13-0.115%27 Apr
mirage5–13-0.0815%25 Apr
cache_b13–110.016%23 Apr
mirage13–9-0.047%20 Apr
inferno2–13-0.0914%15 Apr
vertigo13–8-0.0723%9 Apr
mirage13–5-0.0719%6 Apr
dust25–13-0.0414%5 Apr
dust213–5-0.0036%5 Apr
anubis16–140.000%5 Apr
mirage13–9-0.035%5 Apr
anubis13–50.0415%5 Apr
ancient9–130.0321%5 Apr
dust219–17-0.0610%4 Apr
overpass20–22-0.086%4 Apr
train13–100.0011%4 Apr
dust213–10-0.0114%4 Apr
vertigo13–90.0611%4 Apr
dust213–6-0.0218%4 Apr
cache_b11–130.0212%4 Apr
tuscan_d6–13-0.0012%4 Apr
dust211–130.0115%3 Apr
cache_b7–130.0413%3 Apr
cbble_d9–130.0123%3 Apr
dust29–13-0.0123%3 Apr
mirage13–40.0117%3 Apr
dust28–13-0.1011%3 Apr
ancient16–14-0.0413%3 Apr
dust213–10-0.0425%3 Apr
cache_b13–40.0114%3 Apr
dust213–80.0321%3 Apr

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 →