Fazil Chikrein

Fazil Chikrein — CS2 Stats

AZ76561199218010365[U:1:1257744637]Steam profile ↗✓ No bans

1,038Tracked matches70%Win rate2024Tracked since
1,738Hours in CS9Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating15,687Purple band · top ~25.7% of ranked players (population est.)
FaceitLevel 7 · 986 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,687 +3,228 23 Sept – 13 Nov · 26 days played
12,24117,667peak 17,66723 Sept13 Nov
Faceit ELO: 986 +0 15 Sept – 18 Oct · 4 observations
986986peak 98615 Sept18 Oct
17,667Peak Premier in tracked matches
986Highest Faceit ELO seen on CSDB
46Days played since 2026-07-21

Faceit ELO

  • At peak — 986
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 65 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-15
  • Level 3 first seen 2026-09-15

Premier CS Rating

  • 1,980 below peak (17,667)
  • +1,113 over 30 days · improving
  • Next: Pink band at 20,000 — 4,313 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-18
  • Blue band first seen 2026-10-01

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches42154−112
Win rate50%48%+2pp
K/D0.941.06−0.12
Headshot %42%38%+4pp

Measured 18 Oct 2026 → 14 Nov 2026; previous 15 Sep 2026 → 18 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate34.8%45.7%46.8%12.0% short
Shot accuracy0.7%12.7%13.0%12.3% short
Kill/death ratio0.761.051.060.30 short
Match win rate37.1%45.7%46.3%9.2% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFazil ChikreinFACEITLevel 7 · 986 ELOSTANDINGTop 42.3% of rankedPREMIER15,687 · Purple band30 DAYS0 ELOPEAK ELO986csdb.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

Aim59
Positioning49
Utility24

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateWLLWLTLTLL

Last 10 vs previous 10: −70pp win rate · −0.01 avg rating · −0.5pp headshot accuracy · +54ms reaction

Win rate down 70pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 670ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 614ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 587ms

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 (+1.6 against its own average).

Aim5.9
Utility2.4
Positioning4.9
Opening Duels3.0
Clutch3.0

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 93% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 593ms 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

Aim5.9
Positioning4.9
Utility2.4
Mechanics4.2
Opening Duels3.3
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 rating0.02+0.10
first ⅓ avg -0.08 → last ⅓ avg 0.02
Reaction time595ms−66ms
first ⅓ avg 661ms → last ⅓ avg 595ms
Headshot accuracy17.9%+2.5%
first ⅓ avg 15.4% → last ⅓ avg 17.9%

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

0.18Best match rating · 9–3 · nuke, 7 Oct →
38%Best headshot accuracy · 13–3 · dust2, 16 Oct →
414msFastest reaction time · 5–13 · ancient, 9 Nov →
13–0Biggest win · office, 6 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 75% over 8overpassWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoD216–1529%-0.09
dust2A159–660%-0.01
nukeC156–940%-0.04
mirageD103–730%0.02
ancientD93–633%0.02
anubisS86–275%0.01
cacheA85–363%0.02
overpassD50–50%-0.12
vertigoD50–50%-0.12
office—31–233%-0.07
train—10–10%-0.07

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,464Lifetime kills
0.76K/D
3,079Matches
37.1%Match win rate
34.8%Headshot %
0.7%Shot accuracy
5,276MVPs
1,738Hours (in match)
1,857Bombs planted
580Bombs defused

Most-used weapons

Lifetime map wins

5,397dust2
3,477inferno
2,478nuke
1,124vertigo
379train
123office
53ar_shoots
46safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

171Matches
52%Win rate
1.12Avg K/D
75.4ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5046%1.0915.6
Dust24858%1.1214.4
Anubis2241%1.1014.3
Ancient2255%1.2918.4
Nuke1457%1.0117.6
Inferno743%0.9512.7
Cache580%1.3716.2
Train367%1.2119.0

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.

17.9%Headshot accuracy
34.7%Accuracy (enemy spotted)
33.5%Spray accuracy
68.9%Counter-strafing
9.6°Preaim
593msReaction time
45.5%T opening success
40.9%CT opening success
0.38Enemies flashed / flash
1.9%Flash assists
5.03HE damage / grenade
4.47Flashes / 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 0.3807 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Overpass

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–3-0.018%13 Nov →
mirage3–130.0123%12 Nov →
dust22–13-0.0917%12 Nov →
dust213–8-0.073%10 Nov →
ancient5–13-0.0724%9 Nov →
ancient15–150.0613%6 Nov →
dust210–13-0.0217%5 Nov →
dust215–150.0415%5 Nov →
ancient10–130.1033%5 Nov →
mirage10–130.0120%5 Nov →
inferno13–100.0220%27 Oct →
ancient13–7-0.0117%26 Oct →
anubis13–7-0.0218%24 Oct →
cache13–50.0330%24 Oct →
nuke13–4-0.018%24 Oct →
nuke15–150.0326%23 Oct →
nuke13–5-0.0011%22 Oct →
cache13–60.0013%21 Oct →
anubis13–5-0.0015%21 Oct →
anubis16–140.0222%21 Oct →
dust213–30.1223%18 Oct →
ancient13–80.1116%17 Oct →
mirage11–130.0015%17 Oct →
dust213–30.1138%16 Oct →
inferno13–60.0414%16 Oct →
anubis13–30.0912%15 Oct →
mirage11–13-0.0220%14 Oct →
cache13–60.0814%12 Oct →
cache13–70.0331%11 Oct →
anubis13–10-0.0114%10 Oct →
nuke22–20-0.0111%10 Oct →
ancient7–130.0212%9 Oct →
mirage13–20.1719%9 Oct →
nuke9–30.1815%7 Oct →
dust28–13-0.1014%7 Oct →
train2–8-0.070%7 Oct →
dust213–50.049%6 Oct →
nuke11–130.0017%6 Oct →
dust216–130.034%2 Oct →
mirage16–130.0511%2 Oct →
dust213–90.0126%2 Oct →
cache6–130.0510%30 Sept →
mirage9–13-0.0419%30 Sept →
cache3–13-0.0713%23 Sept →
inferno13–80.038%23 Sept →
mirage13–9-0.0312%23 Sept →
dust214–16-0.0211%23 Sept →
ancient6–130.0421%23 Sept →
cache7–130.0121%23 Sept →
dust213–9-0.0212%20 Sept →
mirage3–130.0522%20 Sept →
dust213–8-0.0316%19 Sept →
inferno4–13-0.078%19 Sept →
anubis14–16-0.0514%14 Sept →
nuke3–13-0.0312%14 Sept →
inferno4–9-0.186%13 Sept →
nuke9–6-0.086%13 Sept →
nuke5–90.0421%13 Sept →
overpass6–9-0.1218%13 Sept →
nuke7–90.0111%13 Sept →
inferno1–9-0.185%13 Sept →
inferno3–9-0.2512%13 Sept →
vertigo1–9-0.210%13 Sept →
nuke3–9-0.199%13 Sept →
overpass3–9-0.036%13 Sept →
inferno4–9-0.1013%13 Sept →
inferno4–9-0.2114%13 Sept →
vertigo1–9-0.277%13 Sept →
overpass5–9-0.2022%12 Sept →
inferno4–90.0125%12 Sept →
inferno5–9-0.1317%12 Sept →
inferno1–9-0.280%12 Sept →
overpass6–9-0.1118%12 Sept →
inferno14–16-0.039%9 Sept →
inferno4–9-0.094%9 Sept →
inferno2–9-0.090%9 Sept →
nuke1–9-0.280%7 Sept →
office7–13-0.0213%6 Sept →
office13–0-0.0525%6 Sept →
office0–5-0.1520%6 Sept →
overpass3–9-0.136%3 Sept →
anubis13–110.0315%1 Sept →
dust24–13-0.0220%31 Aug →
mirage10–13-0.0125%31 Aug →
cache13–80.0230%31 Aug →
inferno13–5-0.067%25 Aug →
nuke6–9-0.1811%20 Aug →
inferno8–8-0.0822%15 Aug →
nuke13–40.0125%11 Aug →
ancient5–13-0.0410%11 Aug →
dust213–6-0.0718%11 Aug →
vertigo11–13-0.028%4 Aug →
vertigo12–120.0816%4 Aug →
inferno10–10-0.1032%31 Jul →
inferno9–7-0.150%28 Jul →
anubis10–13-0.0022%22 Jul →
inferno9–40.0829%22 Jul →
inferno2–9-0.1117%22 Jul →
vertigo2–9-0.2021%21 Jul →
nuke3–9-0.0318%21 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.