Kanonføde

Kanonføde — CS2 Stats

DK76561198198419694[U:1:238153966]Steam profile ↗✓ No bans

2,138Tracked matches48%Win rate2020Tracked since
4,369Hours in CS20Hrs last 2 wks
CSDB Rating6.7 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

+41Tracked matches · now 2,138
+3.5ppWin rate · 44.8% → 48.3%

Rating over time

Premier CS Rating: 20,921 -58 11 Mar – 12 Jun · 16 days played
20,50921,664peak 21,66411 Mar12 Jun
21,966Peak Premier in tracked matches
53Days played since 2026-03-11

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
Matches37114−77
Win rate46%51%−5pp
K/D0.861.11−0.25
Headshot %47%52%−4pp

Measured 8 Oct 2026 → 2 Nov 2026; previous 1 Sep 2026 → 8 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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate48.5%46.8%48.2%meets
Shot accuracy17.0%13.0%13.2%above
Kill/death ratio0.981.061.070.09 short
Match win rate47.8%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKanonfødeFACEITLevel 8STANDINGTop 31.2% 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

Aim80
Positioning59
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateWWLWWLWWLL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −3.5pp headshot accuracy · +58ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 630ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 607ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim8.0
Utility6.9
Positioning5.9
Opening Duels4.2
Clutch4.0

Effective flashes

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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 586ms 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

Aim8.0
Positioning5.9
Utility6.9
Mechanics7.8
Opening Duels4.8
Win Impact4.4

Composite 6.7/10 (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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time591ms−13ms
first ⅓ avg 605ms → last ⅓ avg 591ms
Headshot accuracy17.2%−0.5%
first ⅓ avg 17.7% → last ⅓ avg 17.2%

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

0.09Best match rating · 10–13 · nuke, 22 May →
33%Best headshot accuracy · 13–6 · nuke, 4 Sept →
430msFastest reaction time · 10–13 · inferno, 3 Sept →
13–2Biggest win · nuke, 29 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 52% over 23ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeB2312–1152%-0.00
infernoC229–1341%-0.01
dust2C167–944%-0.01
mirageB136–746%-0.01
ancientD124–833%-0.03
overpassB84–450%-0.01
anubis—30–30%-0.01
cache—22–0100%-0.01
vertigo—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,929Lifetime kills
0.98K/D
5,486Matches
47.8%Match win rate · Top 50% of Level 8 players
48.5%Headshot % · Top 50% of Level 8 players
17.0%Shot accuracy · Top 25% of Level 8 players
14,561MVPs
4,373Hours (in match)
6,684Bombs planted
1,304Bombs defused

Most-used weapons

AK-4742,782
AWP19,068
FAMAS4,532
P2503,065
MP92,346

Lifetime map wins

19,330inferno
8,963nuke
6,454dust2
4,125vertigo
2,040train
1,498cbble
37office
12italy

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

Faceit stats

Combat

1,610Matches
51%Win rate
1.01Avg K/D
74.8ADR
40%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11842%0.9514.9
Inferno10648%1.0015.6
Dust210144%0.8714.8
Nuke7854%0.9514.7
Ancient6659%0.9715.2
Anubis3253%0.9415.7
Cache2662%1.0515.9
Overpass2361%0.8113.0

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.

17.5%Headshot accuracy
39.9%Accuracy (enemy spotted)
42.0%Spray accuracy
85.0%Counter-strafing
10.7°Preaim
586msReaction time
45.7%T opening success
52.9%CT opening success
0.75Enemies flashed / flash
11.5%Flash assists
9.94HE damage / grenade
10.39Flashes / match

Recommended for you

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 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–2-0.0114%29 Oct →
cache13–8-0.0113%25 Oct →
dust212–160.0014%23 Oct →
nuke13–11-0.0317%21 Oct →
cache13–10-0.0118%13 Oct →
inferno3–13-0.0110%13 Oct →
ancient13–9-0.0113%8 Oct →
dust213–60.0328%2 Oct →
dust26–130.0420%27 Sept →
inferno7–13-0.0216%27 Sept →
anubis7–130.0228%17 Sept →
inferno4–9-0.056%16 Sept →
inferno13–70.0320%16 Sept →
nuke13–60.0333%4 Sept →
overpass9–130.0415%3 Sept →
vertigo3–130.0212%3 Sept →
inferno10–13-0.0131%3 Sept →
nuke16–14-0.0420%3 Sept →
mirage13–16-0.0120%3 Sept →
mirage3–130.0012%30 Aug →
nuke16–130.0324%26 Aug →
ancient13–10-0.006%16 Aug →
dust211–130.0229%16 Aug →
dust213–10-0.0216%5 Aug →
nuke13–5-0.019%2 Aug →
nuke4–13-0.0411%2 Aug →
dust219–170.0410%1 Aug →
dust29–13-0.0213%31 Jul →
nuke6–13-0.0011%10 Jul →
dust27–13-0.0514%9 Jul →
nuke12–120.0825%19 Jun →
dust213–10-0.0125%19 Jun →
ancient14–16-0.0316%12 Jun →
inferno8–13-0.0222%12 Jun →
nuke13–80.0611%11 Jun →
inferno13–80.0319%11 Jun →
inferno4–13-0.0219%7 Jun →
nuke2–13-0.0321%6 Jun →
dust28–130.0417%6 Jun →
mirage13–6-0.0333%6 Jun →
dust216–12-0.0314%26 May →
overpass2–13-0.0310%25 May →
nuke2–13-0.0212%24 May →
mirage10–13-0.0214%23 May →
nuke7–13-0.0333%22 May →
nuke10–130.099%22 May →
dust214–16-0.0110%1 May →
inferno16–120.0328%29 Apr →
overpass13–16-0.0212%26 Apr →
inferno13–90.0420%26 Apr →
mirage13–70.0226%26 Apr →
ancient13–80.0021%22 Apr →
nuke13–11-0.0215%19 Apr →
ancient9–13-0.0312%18 Apr →
inferno13–7-0.0913%18 Apr →
overpass13–5-0.0114%18 Apr →
nuke14–16-0.0119%16 Apr →
anubis11–13-0.082%12 Apr →
mirage7–130.0411%12 Apr →
inferno5–13-0.0313%12 Apr →
inferno14–16-0.0326%12 Apr →
overpass13–10-0.0414%12 Apr →
inferno13–11-0.0228%6 Apr →
inferno13–11-0.0121%6 Apr →
mirage13–9-0.0513%6 Apr →
mirage13–10-0.0315%6 Apr →
inferno11–130.0213%6 Apr →
nuke13–8-0.0321%6 Apr →
ancient13–2-0.0313%30 Mar →
nuke13–3-0.0326%29 Mar →
ancient11–130.0214%27 Mar →
mirage8–130.0428%27 Mar →
ancient2–13-0.067%26 Mar →
inferno13–4-0.0410%25 Mar →
mirage4–13-0.0715%24 Mar →
anubis6–130.0324%24 Mar →
inferno6–13-0.0518%22 Mar →
nuke13–70.0323%22 Mar →
overpass13–4-0.022%22 Mar →
dust24–13-0.0623%20 Mar →
dust213–11-0.0227%20 Mar →
nuke13–8-0.0222%20 Mar →
ancient15–15-0.0813%20 Mar →
dust213–8-0.0126%19 Mar →
overpass10–130.0419%19 Mar →
nuke12–16-0.0514%17 Mar →
mirage6–13-0.0517%17 Mar →
mirage13–9-0.0218%17 Mar →
overpass13–11-0.0114%17 Mar →
nuke2–13-0.0511%16 Mar →
dust211–13-0.0420%16 Mar →
inferno3–13-0.0317%16 Mar →
inferno4–13-0.0021%16 Mar →
inferno13–100.0420%15 Mar →
inferno11–13-0.0518%15 Mar →
mirage13–8-0.0213%15 Mar →
ancient9–13-0.0124%15 Mar →
nuke6–13-0.0218%11 Mar →
ancient6–13-0.0614%11 Mar →
ancient8–13-0.0114%11 Mar →

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.