ced™

ced™ — CS2 Stats

SG76561197997993349[U:1:37727621]Steam profile ↗✓ No bans

1,798Tracked matches52%Win rate2020Tracked since
4,185Hours in CS
CSDB Rating6.1 SolidAll-Rounder
CSDB Leaderboard#6680 of 251469 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 1,798
−4.9ppWin rate · 56.7% → 51.7%

Rating over time

Premier CS Rating: 26,844 +853 25 Jul – 12 Oct · 9 days played
25,99126,871peak 26,87125 Jul12 Oct
27,018Peak Premier in tracked matches
37Days played since 2026-07-18

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches38——
Win rate55%——
K/D0.94——
Headshot %54%——

Measured 13 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 5 among CSDB-tracked players (n=13,888), 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 5 medianLevel 6 medianvs Level 6
Headshot rate45.1%43.7%44.8%meets
Shot accuracy14.7%12.0%12.4%above
Kill/death ratio0.911.021.030.12 short
Match win rate44.9%44.7%45.2%meets

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGced™FACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim68
Positioning55
Utility56

0–100 skill scores via Leetify.

Recent form

COLD55–40–5Last 10055%Win rateLTLLWLWLLW

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −3.4pp headshot accuracy · +5ms 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 17%
  • Avg reaction 619ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 630ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 627ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim6.8
Utility5.6
Positioning5.5
Opening Duels3.7
Clutch6.0

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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 61% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 639ms 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
Positioning5.5
Utility5.6
Mechanics7.0
Opening Duels5.5
Win Impact5.6

Composite 6.1/10 (Solid), 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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time648ms−27ms
first ⅓ avg 674ms → last ⅓ avg 648ms
Headshot accuracy19.9%−3.9%
first ⅓ avg 23.8% → last ⅓ avg 19.9%

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

0.17Best match rating · 13–10 · dust2, 18 Jul →
40%Best headshot accuracy · 6–13 · cache, 6 Sept →
453msFastest reaction time · 9–13 · inferno, 1 Oct →
13–0Biggest win · dust2, 19 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 83% over 6anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B3619–1753%-0.00
infernoA2214–864%-0.02
mirageB115–645%0.02
cacheC104–640%-0.02
ancientS86–275%-0.01
anubisD72–529%-0.01
nukeS65–183%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

161,877Lifetime kills
0.91K/D
7,942Matches
44.9%Match win rate · Top 50% of Level 5 players
45.1%Headshot % · Top 50% of Level 5 players
14.7%Shot accuracy · Top 50% of Level 5 players
17,782MVPs
4,185Hours (in match)
9,331Bombs planted
2,412Bombs defused

Most-used weapons

AK-4748,587
AWP14,093
P2505,034
P903,976
FAMAS2,501

Lifetime map wins

35,715dust2
16,927inferno
10,998nuke
1,595train
1,209cbble
463vertigo
53office
22dust

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

Faceit stats

Combat

453Matches
50%Win rate
1.13Avg K/D
70.5ADR
46%Headshot %

Clutches & streaks

50%1v1 clutch win
14%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis1844%0.9815.7
Inferno1443%0.8715.4
Nuke1267%0.9113.1
Dust21267%0.9814.1
Ancient743%1.0916.1
Mirage714%0.6111.0
Vertigo10%1.0523.0

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.

19.5%Headshot accuracy
34.2%Accuracy (enemy spotted)
36.2%Spray accuracy
81.6%Counter-strafing
9.3°Preaim
639msReaction time
60.5%T opening success
43.7%CT opening success
0.50Enemies flashed / flash
6.7%Flash assists
10.14HE damage / grenade
13.32Flashes / match

Recommended for you

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0320%13 Oct →
anubis15–150.0013%12 Oct →
dust24–13-0.1013%12 Oct →
dust29–13-0.0414%11 Oct →
inferno13–20.0122%11 Oct →
inferno9–13-0.0513%11 Oct →
dust213–20.0522%10 Oct →
mirage2–13-0.0313%10 Oct →
anubis4–13-0.0327%10 Oct →
dust213–60.0221%10 Oct →
dust29–13-0.0426%10 Oct →
dust28–13-0.0520%8 Oct →
inferno13–11-0.0028%8 Oct →
dust28–13-0.049%8 Oct →
inferno13–7-0.0624%7 Oct →
dust213–60.0220%7 Oct →
inferno13–9-0.0120%7 Oct →
dust213–100.0117%5 Oct →
inferno13–40.0321%5 Oct →
nuke13–30.1529%5 Oct →
inferno5–13-0.0420%4 Oct →
mirage11–130.0214%4 Oct →
inferno9–13-0.0916%1 Oct →
mirage13–50.0517%1 Oct →
cache11–13-0.0621%30 Sept →
dust26–13-0.0323%30 Sept →
mirage13–80.0534%30 Sept →
mirage13–11-0.0218%29 Sept →
dust213–11-0.0222%29 Sept →
nuke13–10.0214%24 Sept →
dust28–13-0.0119%24 Sept →
cache13–6-0.0323%23 Sept →
inferno13–60.0326%23 Sept →
dust213–80.1320%23 Sept →
mirage13–70.0813%23 Sept →
mirage11–13-0.0420%20 Sept →
dust213–2-0.0116%20 Sept →
dust213–80.0820%6 Sept →
dust28–130.0227%6 Sept →
cache6–130.0340%6 Sept →
mirage12–120.0422%2 Sept →
dust213–4-0.0221%30 Aug →
anubis13–11-0.0221%30 Aug →
ancient13–90.0123%30 Aug →
nuke13–70.0229%30 Aug →
nuke13–60.0326%28 Aug →
cache6–13-0.079%28 Aug →
dust213–11-0.0125%28 Aug →
anubis7–13-0.0324%26 Aug →
inferno11–13-0.0516%26 Aug →
inferno1–13-0.1131%19 Aug →
dust213–00.0636%19 Aug →
dust213–2-0.0219%19 Aug →
dust211–13-0.0323%16 Aug →
inferno13–9-0.0217%16 Aug →
ancient13–10-0.0115%16 Aug →
mirage10–130.0135%15 Aug →
anubis7–13-0.0415%13 Aug →
cache13–11-0.0419%13 Aug →
dust26–13-0.0623%13 Aug →
ancient8–130.0414%9 Aug →
dust211–13-0.0518%9 Aug →
inferno15–15-0.0322%8 Aug →
ancient13–11-0.0524%8 Aug →
dust213–50.0125%6 Aug →
inferno13–30.0111%6 Aug →
inferno13–40.0220%5 Aug →
cache5–13-0.0418%5 Aug →
anubis5–00.1036%5 Aug →
dust213–110.0119%1 Aug →
cache9–130.0218%1 Aug →
ancient13–9-0.0323%1 Aug →
dust24–13-0.0611%1 Aug →
inferno9–40.0023%1 Aug →
ancient16–14-0.0120%29 Jul →
cache4–13-0.0624%26 Jul →
dust213–30.0021%26 Jul →
cache13–9-0.0227%25 Jul →
mirage2–13-0.1020%25 Jul →
inferno13–9-0.0228%25 Jul →
dust213–80.0420%25 Jul →
dust213–6-0.0333%23 Jul →
dust28–13-0.0133%23 Jul →
dust213–8-0.0125%23 Jul →
nuke12–120.0222%22 Jul →
anubis5–13-0.0319%22 Jul →
ancient5–13-0.0518%22 Jul →
dust210–130.0323%22 Jul →
nuke13–40.0413%21 Jul →
inferno13–50.0134%21 Jul →
dust212–16-0.0526%20 Jul →
inferno15–15-0.0327%20 Jul →
inferno7–13-0.0528%20 Jul →
dust27–13-0.0426%19 Jul →
inferno13–3-0.0325%19 Jul →
ancient13–100.0616%19 Jul →
inferno13–80.0137%18 Jul →
cache13–60.0533%18 Jul →
mirage13–30.1122%18 Jul →
dust213–100.1719%18 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.