Danish Kalashnikov

Danish Kalashnikov — CS2 Stats

DK76561197981113537[U:1:20847809]Steam profile ↗✓ No bans

3,178Tracked matches47%Win rate2020Tracked since
CSDB Rating6.5 SolidSupport
FaceitLevel 10 · 2,085 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+61Faceit ELO · 2,024 → 2,085

Rating over time

2,085Highest Faceit ELO seen on CSDB
58Days played since 2025-12-11

Faceit ELO

  • At peak — 2,085
  • Next: 2,500 ELO at 2,500 — 415 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGDanish KalashnikovFACEITLevel 10 · 2,085 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,085csdb.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

Aim70
Positioning72
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLWWLLWLLWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +4.4pp headshot accuracy · +13ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 536ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 512ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 505ms

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 (+1.1 against its own average).

Aim7.0
Utility7.2
Positioning7.2
Opening Duels6.0
Clutch4.2

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 77% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim7.0
Positioning7.2
Utility7.2
Mechanics5.4
Opening Duels6.9
Win Impact3.9

Composite 6.5/10 (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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time508ms−59ms
first ⅓ avg 566ms → last ⅓ avg 508ms
Headshot accuracy17.6%−0.7%
first ⅓ avg 18.3% → last ⅓ avg 17.6%

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

0.12Best match rating · 8–13 · ancient, 21 Sept →
48%Best headshot accuracy · 13–6 · inferno, 27 Mar →
359msFastest reaction time · 8–13 · inferno, 21 Sept →
13–3Biggest win · ancient, 9 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–14In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 74% over 27infernoWeakest map · 37% over 30
MapGradePlayedRecordWin rateAvg rating
infernoC3011–1937%-0.00
nukeS2720–774%0.01
ancientC187–1139%0.01
overpassB84–450%0.02
anubisS64–267%-0.00
train—42–250%-0.04
dust2—32–167%0.02
vertigo—21–150%-0.01
mirage—22–0100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 30). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,478Matches
50%Win rate
1.17Avg K/D
75.4ADR
37%Headshot %

Clutches & streaks

41%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke36359%1.1415.5
Ancient33049%1.0815.3
Inferno30949%1.1315.4
Vertigo23856%1.2315.8
Anubis19439%1.1216.2
Train10350%1.1015.3
Overpass7541%1.0214.9
Dust25946%1.0815.6

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.

16.4%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.6%Spray accuracy
74.2%Counter-strafing
10.1°Preaim
509msReaction time
54.8%T opening success
60.0%CT opening success
0.68Enemies flashed / flash
10.8%Flash assists
10.51HE damage / grenade
12.39Flashes / match

Recommended for you

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.

37% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0117%2 Nov →
nuke13–110.0119%2 Nov →
nuke13–9-0.0215%30 Oct →
ancient9–130.0319%26 Oct →
ancient11–13-0.0219%13 Oct →
anubis16–130.0116%5 Oct →
ancient8–130.1215%21 Sept →
inferno8–130.0321%21 Sept →
ancient13–8-0.0222%17 Sept →
vertigo13–16-0.0021%17 Sept →
inferno11–130.0211%8 Sept →
inferno13–50.078%7 Sept →
anubis3–13-0.0620%3 Sept →
inferno29–31-0.0110%28 Aug →
inferno9–13-0.014%14 Aug →
inferno7–130.0421%14 Aug →
ancient13–5-0.0317%10 Aug →
vertigo13–9-0.0119%10 Aug →
nuke13–40.0215%10 Aug →
inferno10–130.0316%6 Aug →
ancient11–13-0.0412%27 Jul →
nuke13–50.0224%27 Jul →
nuke13–60.0328%27 Jul →
nuke13–110.0114%29 Jun →
inferno7–13-0.0925%26 Jun →
nuke13–70.0317%15 Jun →
inferno11–13-0.0515%15 Jun →
inferno13–11-0.0114%5 Jun →
ancient9–13-0.0118%5 Jun →
ancient13–60.1014%1 Jun →
inferno4–130.0124%26 May →
inferno11–130.0631%19 May →
inferno11–13-0.0621%19 May →
nuke13–8-0.0013%19 May →
overpass11–13-0.0123%18 May →
inferno5–130.0011%18 May →
inferno7–13-0.0112%18 May →
overpass13–60.0411%8 May →
inferno3–13-0.1020%6 May →
inferno4–13-0.0413%1 May →
anubis13–70.0115%27 Apr →
overpass7–13-0.0732%27 Apr →
ancient2–13-0.0524%27 Apr →
anubis13–70.0421%23 Apr →
ancient13–80.0218%23 Apr →
inferno9–130.0032%20 Apr →
mirage13–110.0226%14 Apr →
ancient7–130.0124%14 Apr →
inferno13–70.0433%9 Apr →
ancient13–30.059%9 Apr →
inferno13–60.1148%27 Mar →
nuke5–130.0013%25 Mar →
ancient3–13-0.0011%25 Mar →
inferno4–13-0.0835%25 Mar →
nuke13–110.0322%24 Mar →
nuke13–8-0.0320%24 Mar →
ancient16–14-0.0022%22 Mar →
inferno13–50.0419%19 Mar →
nuke13–90.0227%19 Mar →
nuke13–6-0.0016%19 Mar →
inferno19–22-0.0317%6 Mar →
dust29–130.0531%3 Mar →
overpass19–160.0123%2 Mar →
inferno13–9-0.0534%2 Mar →
inferno12–16-0.0219%26 Feb →
overpass13–9-0.019%26 Feb →
nuke13–7-0.0228%24 Feb →
dust213–100.0512%24 Feb →
nuke13–100.0217%19 Feb →
ancient11–130.0116%19 Feb →
overpass8–130.0323%15 Feb →
ancient13–5-0.009%15 Feb →
anubis13–10-0.017%10 Feb →
dust213–11-0.0516%10 Feb →
inferno13–3-0.0314%10 Feb →
nuke11–130.0316%4 Feb →
inferno13–90.0318%4 Feb →
nuke9–13-0.0419%4 Feb →
ancient14–16-0.0313%3 Feb →
overpass11–130.0517%2 Feb →
mirage13–30.0425%11 Jan →
anubis14–160.0123%11 Jan →
nuke7–13-0.0017%9 Jan →
nuke13–90.0113%6 Jan →
train3–13-0.1110%6 Jan →
nuke6–13-0.0518%19 Dec →
overpass13–70.0925%19 Dec →
train19–170.0121%19 Dec →
nuke13–16-0.0038%18 Dec →
inferno13–100.0417%18 Dec →
nuke4–130.0119%17 Dec →
inferno16–140.0219%17 Dec →
nuke13–10-0.0413%17 Dec →
nuke13–70.0420%17 Dec →
inferno19–160.0122%15 Dec →
nuke13–90.0610%14 Dec →
train11–13-0.0132%13 Dec →
train13–9-0.0718%12 Dec →
nuke13–80.0123%12 Dec →
nuke13–100.0426%11 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 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.