Knarfson

Knarfson — CS2 Stats

76561197975292784[U:1:15027056]Steam profile ↗✓ No bans

1,732Tracked matches34%Win rate2020Tracked since
7,636Hours in CS59Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating11,140Blue band · top ~48.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+372Premier CS Rating · 10,768 → 11,140

Rating over time

Premier CS Rating: 11,140 -1,689 9 Sept – 2 Nov · 36 days played
10,15812,829peak 12,8299 Sept2 Nov
12,829Peak Premier in tracked matches
34Days played since 2026-09-09

Premier CS Rating

  • 1,689 below peak (12,829)
  • -767 over 30 days · declining
  • Next: Purple band at 15,000 — 3,860 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-09
  • Light Blue band first seen 2026-09-09

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate31.8%42.0%44.4%12.6% short
Shot accuracy17.0%9.6%11.9%above
Kill/death ratio1.030.981.03meets
Match win rate42.5%43.8%45.2%2.7% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGKnarfsonPREMIER11,140 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning64
Utility43

0–100 skill scores via Leetify.

Recent form

COLD30–67–3Last 10030%Win rateTWLWWLLLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +3.0pp headshot accuracy · +37ms reaction

Win rate −10pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 699ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 633ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 615ms

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 (+2.7 against its own average).

Aim4.8
Utility4.3
Positioning6.4
Opening Duels4.2
Clutch0.0

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

device

Plays most like device 72% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 614ms 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

Aim4.8
Positioning6.4
Utility4.3
Mechanics5.0
Opening Duels4.6
Win Impact0.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time612ms−16ms
first ⅓ avg 628ms → last ⅓ avg 612ms
Headshot accuracy13.7%−0.8%
first ⅓ avg 14.4% → last ⅓ avg 13.7%

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

0.14Best match rating · 13–7 · dust2, 1 Oct →
28%Best headshot accuracy · 13–3 · inferno, 6 Oct →
422msFastest reaction time · 6–13 · dust2, 31 Oct →
13–1Biggest win · inferno, 17 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–14In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 54% over 24anubisWeakest map · 0% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C2610–1638%0.01
infernoB2413–1154%0.03
mirageD161–156%-0.01
nukeD122–1017%-0.01
anubisD110–110%-0.01
cacheB84–450%0.00
ancient—30–30%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

149,305Lifetime kills
1.03K/D · Top 50% of Blue band
7,573Matches
42.5%Match win rate
31.8%Headshot %
17.0%Shot accuracy · Top 25% of Blue band
21,367MVPs
3,654Hours (in match)
14,901Bombs planted
2,576Bombs defused

Most-used weapons

AWP46,337
AK-4728,096
P2503,647
MP73,211
XM10142,223
P901,905

Lifetime map wins

43,931dust2
18,784inferno
3,895nuke
727train
505vertigo
497cbble
363office
110lake

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

Faceit stats

Combat

28Matches
43%Win rate
0.87Avg K/D
44.9ADR
27%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21100%1.2012.0
Mirage10%0.294.0
Anubis10%0.213.0

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.

13.8%Headshot accuracy
34.1%Accuracy (enemy spotted)
31.0%Spray accuracy
72.5%Counter-strafing
10.5°Preaim
614msReaction time
49.7%T opening success
47.2%CT opening success
0.33Enemies flashed / flash
4.6%Flash assists
9.53HE damage / grenade
6.53Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.7886% — below the 15% mark we flag

    Aim Training →
  2. 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 0.334 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno15–150.0816%2 Nov →
cache13–3-0.0115%2 Nov →
dust29–13-0.0615%1 Nov →
inferno13–9-0.0112%1 Nov →
dust213–90.0918%1 Nov →
dust211–130.0913%1 Nov →
dust26–13-0.0511%31 Oct →
inferno7–130.0412%30 Oct →
dust28–13-0.0621%30 Oct →
mirage10–130.0117%29 Oct →
ancient5–13-0.0312%28 Oct →
mirage5–13-0.109%28 Oct →
inferno6–130.0214%28 Oct →
inferno13–90.0318%27 Oct →
inferno11–130.0214%27 Oct →
inferno11–130.0117%27 Oct →
dust213–7-0.0318%27 Oct →
cache13–2-0.000%27 Oct →
inferno13–11-0.059%27 Oct →
cache14–160.039%26 Oct →
anubis8–13-0.0217%26 Oct →
inferno13–50.0614%26 Oct →
mirage11–13-0.036%25 Oct →
cache3–13-0.0519%25 Oct →
inferno9–130.0013%25 Oct →
nuke10–13-0.017%24 Oct →
cache13–80.0015%24 Oct →
dust24–13-0.0024%23 Oct →
inferno16–140.0315%23 Oct →
nuke11–13-0.0317%23 Oct →
mirage7–130.0312%23 Oct →
mirage3–13-0.069%22 Oct →
mirage6–13-0.0415%22 Oct →
dust213–70.0716%22 Oct →
mirage5–13-0.073%21 Oct →
inferno6–13-0.0219%21 Oct →
mirage11–13-0.0716%21 Oct →
nuke6–13-0.0611%21 Oct →
nuke4–13-0.0611%20 Oct →
dust210–130.0221%20 Oct →
ancient6–13-0.048%19 Oct →
inferno13–90.0312%19 Oct →
cache13–90.0727%19 Oct →
inferno13–9-0.018%18 Oct →
inferno13–5-0.0112%18 Oct →
nuke11–13-0.0615%18 Oct →
anubis15–15-0.0113%18 Oct →
inferno13–70.0213%18 Oct →
nuke5–13-0.0823%17 Oct →
inferno13–10.0915%17 Oct →
dust27–130.008%17 Oct →
nuke9–130.0116%17 Oct →
inferno8–130.0814%16 Oct →
dust213–5-0.017%16 Oct →
dust211–13-0.0414%16 Oct →
dust213–60.0320%16 Oct →
dust26–130.010%15 Oct →
inferno13–60.0121%15 Oct →
mirage9–130.0514%14 Oct →
dust214–160.0315%14 Oct →
dust213–50.0115%13 Oct →
mirage3–130.0016%13 Oct →
cache7–130.0517%11 Oct →
dust28–13-0.0326%11 Oct →
inferno13–10.1222%10 Oct →
nuke8–130.0021%10 Oct →
anubis6–13-0.049%10 Oct →
dust211–13-0.0512%10 Oct →
dust213–30.0017%10 Oct →
anubis4–130.056%10 Oct →
cache1–13-0.0814%9 Oct →
anubis3–13-0.098%9 Oct →
anubis10–130.0416%9 Oct →
anubis8–13-0.004%8 Oct →
nuke13–40.0622%8 Oct →
anubis10–130.0413%8 Oct →
ancient6–130.0417%8 Oct →
mirage15–150.0216%7 Oct →
dust28–13-0.0117%7 Oct →
mirage16–140.1016%6 Oct →
dust24–13-0.059%6 Oct →
inferno13–30.0328%6 Oct →
nuke11–130.0323%5 Oct →
dust210–130.0012%5 Oct →
mirage6–13-0.0116%5 Oct →
mirage7–13-0.090%5 Oct →
mirage9–13-0.0111%3 Oct →
anubis7–13-0.046%3 Oct →
mirage5–130.0422%3 Oct →
nuke10–13-0.0110%2 Oct →
anubis14–160.0623%1 Oct →
inferno9–13-0.0219%1 Oct →
dust213–80.1218%1 Oct →
dust213–70.1425%1 Oct →
anubis1–13-0.058%30 Sept →
dust213–110.0312%30 Sept →
inferno7–130.0110%29 Sept →
dust27–130.0222%29 Sept →
nuke13–80.054%29 Sept →
inferno11–130.0721%28 Sept →

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.