Handberg

Handberg — CS2 Stats

DK76561198030354901[U:1:70089173]Steam profile ↗✓ No bans

558Tracked matches66%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
FaceitLevel 8 · 1,954 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,954 → 1,954
+2Tracked matches · now 558
0.0ppWin rate · 65.5% → 65.5%

Rating over time

Premier CS Rating: 21,384 +1,384 14 Nov – 19 Jan · 15 days played
20,00022,852peak 22,85214 Nov19 Jan
Faceit ELO: 1,954 +0 2 Sept – 18 Sept · 4 observations
1,9541,954peak 1,9542 Sept18 Sept
22,852Peak Premier in tracked matches
1,954Highest Faceit ELO seen on CSDB
35Days played since 2025-09-06

Faceit ELO

  • At peak — 1,954
  • Next: Level 10 at 2,001 — 47 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGHandbergFACEITLevel 8 · 1,954 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,954csdb.gg/stats

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Performance scores

Aim83
Positioning63
Utility46

0–100 skill scores via Leetify.

Recent form

HOT57–39–4Last 10057%Win rateWWWLWWLWWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +3.4pp headshot accuracy · +28ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 574ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 613ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 599ms

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 (+1.4 against its own average).

Aim8.3
Utility4.6
Positioning6.3
Opening Duels5.2
Clutch3.4

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

donk

Plays most like donk 97% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 583ms 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
Positioning6.3
Utility4.6
Mechanics6.9
Opening Duels4.6
Win Impact10.0

Composite 6.6/10 (Solid), 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 rating0.03+0.04
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time592ms−68ms
first ⅓ avg 660ms → last ⅓ avg 592ms
Headshot accuracy23.5%−1.1%
first ⅓ avg 24.6% → last ⅓ avg 23.5%

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 · 13–6 · nuke, 1 Dec →
53%Best headshot accuracy · 13–6 · ancient, 7 Nov →
375msFastest reaction time · 13–1 · inferno, 8 Oct →
13–1Biggest win · inferno, 7 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
5–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 100% over 13dust2Weakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
ancientC219–1243%-0.01
nukeS2014–670%0.01
overpassC167–944%-0.01
infernoB147–750%-0.01
mirageS1313–0100%0.03
dust2C83–538%-0.01
trainB63–350%0.00
anubis—11–0100%0.07
vertigo—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,346Matches
51%Win rate
1.04Avg K/D
83.4ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke6455%1.1016.6
Ancient5242%1.0316.8
Inferno4641%1.2017.4
Mirage4156%1.1416.6
Anubis3951%1.1917.9
Dust23047%1.0416.7
Overpass2157%1.0817.5
Train1457%0.8614.1

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.

24.0%Headshot accuracy
37.0%Accuracy (enemy spotted)
38.2%Spray accuracy
81.1%Counter-strafing
8.7°Preaim
583msReaction time
45.0%T opening success
52.2%CT opening success
0.51Enemies flashed / flash
6.3%Flash assists
8.86HE damage / grenade
6.06Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0723%13 Jul →
nuke13–9-0.0022%23 Apr →
inferno13–10.1219%7 Mar →
ancient9–130.0425%14 Feb →
mirage13–90.0629%12 Feb →
nuke13–90.0427%12 Feb →
overpass14–160.0131%28 Jan →
overpass16–140.0434%27 Jan →
mirage13–30.0128%26 Jan →
mirage13–30.0315%24 Jan →
inferno13–30.0525%23 Jan →
dust26–130.0124%19 Jan →
overpass8–13-0.0331%16 Jan →
nuke13–110.0717%16 Jan →
ancient11–13-0.0218%15 Jan →
nuke13–100.0726%11 Jan →
mirage13–20.0921%9 Jan →
nuke13–80.0115%8 Jan →
overpass13–8-0.0826%8 Jan →
overpass13–80.0216%8 Jan →
mirage13–30.0238%8 Jan →
inferno7–13-0.059%8 Jan →
ancient13–40.0625%7 Jan →
nuke15–150.0517%7 Jan →
nuke1–80.0319%7 Jan →
dust210–13-0.0029%7 Jan →
inferno9–130.0021%7 Jan →
mirage13–11-0.0427%7 Jan →
ancient13–80.0620%6 Jan →
inferno9–13-0.0333%5 Jan →
ancient13–80.0533%5 Jan →
overpass8–130.1119%5 Jan →
overpass4–130.0314%5 Jan →
overpass13–60.0327%3 Jan →
mirage13–50.0230%3 Jan →
ancient13–5-0.0438%3 Jan →
ancient8–13-0.0342%3 Jan →
nuke8–13-0.0413%3 Jan →
inferno4–13-0.090%3 Jan →
ancient10–130.0124%3 Jan →
nuke13–40.0138%16 Dec →
nuke13–110.0237%16 Dec →
inferno13–10-0.0124%16 Dec →
ancient3–13-0.0530%16 Dec →
nuke8–1-0.0327%16 Dec →
ancient1–10-0.100%11 Dec →
nuke13–6-0.0213%10 Dec →
nuke8–13-0.0721%10 Dec →
dust213–40.0319%10 Dec →
dust213–7-0.0543%10 Dec →
inferno13–6-0.0618%10 Dec →
overpass8–13-0.0122%10 Dec →
overpass13–2-0.028%10 Dec →
overpass4–13-0.124%10 Dec →
overpass12–12-0.0417%4 Dec →
train8–13-0.0323%4 Dec →
nuke13–6-0.0116%4 Dec →
ancient13–7-0.0126%4 Dec →
mirage13–20.0136%4 Dec →
overpass13–60.0120%4 Dec →
ancient5–9-0.0050%2 Dec →
train13–20.0733%2 Dec →
train8–130.0224%1 Dec →
inferno10–13-0.0513%1 Dec →
mirage13–40.0715%1 Dec →
nuke13–60.1418%1 Dec →
nuke5–13-0.0220%14 Nov →
dust213–10-0.0218%14 Nov →
ancient13–7-0.0729%14 Nov →
nuke13–100.0115%14 Nov →
nuke13–100.0116%14 Nov →
ancient13–30.0616%14 Nov →
mirage13–100.0723%9 Nov →
vertigo11–130.0123%9 Nov →
ancient13–6-0.0453%7 Nov →
overpass13–5-0.0812%7 Nov →
ancient7–13-0.0728%7 Nov →
train15–150.0138%4 Nov →
ancient7–13-0.0118%4 Nov →
inferno7–13-0.0024%4 Nov →
inferno16–12-0.0223%4 Nov →
overpass4–130.0423%4 Nov →
overpass6–13-0.1244%10 Oct →
nuke13–3-0.1133%10 Oct →
inferno9–70.0125%10 Oct →
train13–5-0.0650%10 Oct →
dust212–12-0.0416%10 Oct →
mirage13–10-0.0214%10 Oct →
ancient13–4-0.0224%10 Oct →
nuke8–13-0.0022%8 Oct →
ancient5–130.0416%8 Oct →
mirage13–90.0112%8 Oct →
inferno13–10.0043%8 Oct →
dust29–13-0.0142%8 Oct →
inferno10–30.013%5 Oct →
train13–70.0317%5 Oct →
dust212–160.0023%2 Oct →
ancient8–13-0.0210%2 Oct →
mirage13–110.0630%2 Oct →
ancient4–13-0.0427%6 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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