SYKEZ

SYKEZ — CS2 Stats

BE76561197991273377[U:1:31007649]Steam profile ↗✓ No bans

458Tracked matches53%Win rate2020Tracked since
3,936Hours in CS41Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
Premier CS Rating17,509Purple band · top ~18.4% of ranked players (population est.)
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (6 days ago). 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: 17,509 -2,283 10 Jun – 9 Nov · 7 days played
15,68419,792peak 19,79210 Jun9 Nov
19,922Peak Premier in tracked matches
57Days played since 2026-05-31

Premier CS Rating

  • 2,283 below peak (19,792)
  • Next: Pink band at 20,000 — 2,491 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,553), 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 9 medianLevel 10 medianvs Level 10
Headshot rate43.6%48.2%50.9%7.4% short
Shot accuracy20.2%13.2%13.7%above
Kill/death ratio1.101.071.09meets
Match win rate47.0%46.9%48.4%1.4% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSYKEZFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER17,509 · Purple bandcsdb.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

Aim83
Positioning68
Utility55

0–100 skill scores via Leetify.

Recent form

HOT48–48–4Last 10048%Win rateWWWLWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +0.9pp headshot accuracy · −22ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 21%
  • Avg reaction 533ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 558ms

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 (+1.3 against its own average).

Aim8.3
Utility5.5
Positioning6.8
Opening Duels5.1
Clutch4.6

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 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Reaction time. 562ms 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

Aim8.3
Positioning6.8
Utility5.5
Mechanics7.8
Opening Duels5.9
Win Impact6.1

Composite 7.0/10 (Strong), 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+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time558ms−54ms
first ⅓ avg 612ms → last ⅓ avg 558ms
Headshot accuracy18.8%−1.2%
first ⅓ avg 20.0% → last ⅓ avg 18.8%

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

0.16Best match rating · 13–8 · mirage, 13 Nov →
34%Best headshot accuracy · 13–5 · dust2, 29 Aug →
406msFastest reaction time · 13–11 · cache, 17 Oct →
13–1Biggest win · dust2, 4 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
8–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 60% over 15infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%0.01
cacheB199–1047%0.02
dust2B189–950%-0.01
infernoC166–1038%0.01
nukeA159–660%-0.00
anubis—31–233%0.02
ancient—30–30%0.04
cbble—11–0100%0.00
overpass—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,197Lifetime kills
1.10K/D · Top 50% of Level 9 players
3,487Matches
47.0%Match win rate · Top 50% of Level 9 players
43.6%Headshot %
20.2%Shot accuracy · Top 5% of Level 9 players
9,170MVPs
2,191Hours (in match)
6,516Bombs planted
1,361Bombs defused

Most-used weapons

AK-4735,938
AWP10,097
P2502,109
Knife1,905
FAMAS1,855

Lifetime map wins

7,166dust2
6,551inferno
1,664cbble
1,503train
1,175nuke
318vertigo
53lake
29assault

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

Faceit stats

Combat

922Matches
52%Win rate
1.13Avg K/D
76.7ADR
46%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12751%1.1015.8
Dust211247%1.0414.4
Inferno7540%1.0515.4
Nuke4856%1.0814.5
Cache4171%1.3716.7
Anubis2050%1.0415.5
Ancient1856%0.9615.9
Overpass1173%1.1717.8

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.

19.6%Headshot accuracy
37.5%Accuracy (enemy spotted)
35.2%Spray accuracy
85.3%Counter-strafing
8.2°Preaim
562msReaction time
49.9%T opening success
57.5%CT opening success
0.44Enemies flashed / flash
4.2%Flash assists
14.09HE damage / grenade
6.06Flashes / 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 0.4435 — below the 0.5 mark we flag

    Grenade Lineups →
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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.1626%13 Nov →
mirage13–50.0719%9 Nov →
cache13–9-0.0117%9 Nov →
mirage9–130.0221%5 Nov →
dust213–10.0320%4 Nov →
cache19–160.0117%4 Nov →
dust24–13-0.0210%4 Nov →
mirage13–90.0414%1 Nov →
mirage13–9-0.0232%28 Oct →
nuke16–120.0918%28 Oct →
mirage13–70.1113%23 Oct →
inferno13–80.0915%22 Oct →
mirage18–22-0.0023%21 Oct →
dust211–130.0221%21 Oct →
cache10–130.0224%21 Oct →
cache13–10-0.0021%21 Oct →
nuke13–100.0916%21 Oct →
mirage13–110.0116%17 Oct →
cache13–110.0518%17 Oct →
anubis14–16-0.0319%17 Oct →
ancient14–160.0432%17 Oct →
cache5–130.0613%15 Oct →
nuke5–13-0.0226%14 Oct →
mirage13–20.0814%12 Oct →
nuke3–9-0.1525%12 Oct →
nuke8–8-0.025%12 Oct →
inferno8–8-0.0116%12 Oct →
cache11–13-0.0123%12 Oct →
mirage6–130.0314%10 Oct →
inferno10–130.017%10 Oct →
dust29–13-0.0324%9 Oct →
inferno11–13-0.0218%9 Oct →
cache13–50.0623%7 Oct →
mirage13–2-0.0223%5 Oct →
nuke13–11-0.0019%4 Oct →
inferno13–110.0125%4 Oct →
cache8–13-0.0123%4 Oct →
inferno2–130.046%4 Oct →
cache3–130.0223%4 Oct →
cbble13–110.0017%4 Oct →
anubis10–130.0321%1 Oct →
mirage13–50.0221%1 Oct →
dust213–6-0.0924%30 Sept →
inferno13–9-0.0117%29 Sept →
mirage11–13-0.0113%29 Sept →
inferno18–22-0.0614%28 Sept →
inferno13–30.0729%28 Sept →
dust215–150.0425%26 Sept →
ancient9–130.0725%25 Sept →
cache10–13-0.0026%25 Sept →
anubis13–50.0513%25 Sept →
cache13–4-0.0126%25 Sept →
nuke13–80.0417%23 Sept →
inferno11–13-0.0216%23 Sept →
dust213–10-0.0316%23 Sept →
mirage13–60.0419%22 Sept →
inferno1–12-0.0424%16 Sept →
nuke10–13-0.0117%13 Sept →
mirage13–8-0.0121%9 Sept →
cache13–50.0815%7 Sept →
mirage7–130.0216%30 Aug →
inferno13–5-0.0116%30 Aug →
dust213–30.0131%30 Aug →
dust29–130.0119%30 Aug →
dust213–5-0.0134%29 Aug →
nuke13–7-0.0120%28 Aug →
ancient8–130.0115%17 Aug →
inferno9–130.0222%12 Aug →
cache11–130.0425%12 Aug →
nuke10–13-0.0320%10 Aug →
cache11–13-0.0628%5 Aug →
mirage10–13-0.0211%5 Aug →
mirage2–13-0.0317%30 Jul →
cache7–13-0.0019%26 Jul →
nuke16–130.0121%24 Jul →
cache13–70.0729%23 Jul →
inferno13–30.0514%17 Jul →
cache15–15-0.0320%17 Jul →
dust213–10-0.0124%15 Jul →
nuke13–110.0022%15 Jul →
dust211–13-0.0133%11 Jul →
dust213–100.0320%10 Jul →
nuke13–6-0.0320%9 Jul →
nuke5–30.0124%5 Jul →
cache13–90.0314%29 Jun →
dust25–13-0.0126%28 Jun →
mirage6–13-0.0814%28 Jun →
inferno10–130.0019%24 Jun →
inferno8–130.0721%24 Jun →
nuke8–13-0.0315%22 Jun →
mirage13–100.0122%17 Jun →
mirage8–13-0.0421%17 Jun →
dust213–40.0425%17 Jun →
mirage2–13-0.0312%17 Jun →
dust24–13-0.0317%11 Jun →
dust25–13-0.0525%10 Jun →
mirage10–13-0.0018%10 Jun →
mirage7–13-0.066%8 Jun →
overpass16–14-0.0316%2 Jun →
dust213–10-0.0323%31 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 →

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