Dahlberg

Dahlberg — CS2 Stats

76561198308747222[U:1:348481494]Steam profile ↗✓ No bans

422Tracked matches59%Win rate2020Tracked since
1,574Hours in CS
CSDB Rating7.4 StrongPositional Player
Premier CS Rating23,819Top 25% of 215,386 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#34855 of 261530 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,819 +3,234 8 Feb – 13 Nov · 16 days played
19,99924,032peak 24,0328 Feb13 Nov
24,032Peak Premier in tracked matches
46Days played since 2026-01-24

Premier CS Rating

  • 213 below peak (24,032)
  • Next: Red band at 25,000 — 1,181 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 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 rate44.2%46.8%48.2%4.0% short
Shot accuracy16.4%13.0%13.2%above
Kill/death ratio0.981.061.070.10 short
Match win rate40.5%46.3%46.9%6.5% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGDahlbergFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,819 · Pink bandcsdb.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

Aim85
Positioning61
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLLLWWWWWWL

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −7.4pp headshot accuracy · +20ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 605ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 592ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 582ms

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 (+1.6 against its own average).

Aim8.5
Utility4.8
Positioning6.1
Opening Duels3.4
Clutch3.8

Sharp aimerExcellent counter-strafingStrong T-side openerLimited utility dependence

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

Twistzz

Plays most like Twistzz 90% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 71% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 588ms 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

Aim8.5
Positioning6.1
Utility4.8
Mechanics9.2
Opening Duels5.5
Win Impact7.9

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time599ms−35ms
first ⅓ avg 634ms → last ⅓ avg 599ms
Headshot accuracy21.2%+4.4%
first ⅓ avg 16.8% → last ⅓ avg 21.2%

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

0.11Best match rating · 8–13 · nuke, 13 Feb →
45%Best headshot accuracy · 2–13 · dust2, 25 Apr →
438msFastest reaction time · 13–7 · mirage, 7 Nov →
13–2Biggest win · nuke, 25 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
12–8In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 66% over 29ancientWeakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
mirageS2919–1066%0.00
dust2A159–660%-0.01
ancientB157–847%-0.01
infernoA116–555%0.01
nukeB105–550%0.03
anubisB105–550%0.01
cacheA53–260%-0.01
overpass—32–167%0.05
cache_b—10–10%-0.00
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,356Lifetime kills
0.98K/D
3,747Matches
40.5%Match win rate
44.2%Headshot %
16.4%Shot accuracy · Top 25% of Level 8 players
7,055MVPs
1,574Hours (in match)
3,956Bombs planted
801Bombs defused

Most-used weapons

AK-4719,494
AWP11,089
MP91,640
MAC-101,509
AUG1,441
UMP-451,424

Lifetime map wins

4,756dust2
2,819inferno
1,364train
1,277nuke
1,038vertigo
750cbble
368office
66dust

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

Faceit stats

Combat

127Matches
58%Win rate
1.19Avg K/D
78.3ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3259%1.1915.9
Ancient1856%1.1615.3
Anubis1759%0.9115.3
Dust21250%1.1615.9
Vertigo850%1.0918.3
Nuke580%1.2514.8
Overpass20%0.7614.0
Inferno10%0.7512.0

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.

20.3%Headshot accuracy
35.4%Accuracy (enemy spotted)
37.0%Spray accuracy
91.6%Counter-strafing
7.6°Preaim
588msReaction time
70.8%T opening success
33.9%CT opening success
0.53Enemies flashed / flash
9.5%Flash assists
9.55HE damage / grenade
4.04Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.896% — below the 40% mark we flag

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.

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0613%13 Nov →
nuke2–13-0.0736%13 Nov →
cache10–13-0.0415%13 Nov →
anubis13–60.0724%7 Nov →
mirage13–90.0010%7 Nov →
mirage13–70.0417%7 Nov →
mirage13–100.0111%7 Nov →
inferno13–110.019%6 Nov →
inferno13–110.0915%6 Nov →
cache4–13-0.0520%31 Oct →
dust213–6-0.0210%31 Oct →
mirage3–13-0.0326%31 Oct →
mirage8–13-0.0432%28 Oct →
anubis13–5-0.0022%28 Oct →
mirage3–13-0.0238%27 Oct →
mirage13–60.0622%25 Oct →
mirage14–160.0223%25 Oct →
dust213–10-0.0126%3 Oct →
inferno13–80.0522%3 Oct →
inferno2–130.0423%3 Oct →
mirage7–13-0.0125%19 Sept →
ancient13–4-0.0021%19 Sept →
mirage13–100.0525%17 Sept →
ancient13–11-0.0221%17 Sept →
cache13–40.0222%17 Sept →
inferno7–13-0.0514%13 Sept →
anubis8–130.0014%13 Sept →
nuke15–150.0219%11 Sept →
ancient8–20.0244%11 Sept →
dust213–70.0118%23 May →
ancient5–13-0.0429%23 May →
mirage13–11-0.0423%8 May →
cache13–6-0.0012%8 May →
dust23–13-0.0221%8 May →
ancient13–11-0.0223%3 May →
mirage8–13-0.0219%3 May →
dust215–150.0526%29 Apr →
inferno13–30.0719%29 Apr →
cache13–110.0326%29 Apr →
dust213–5-0.0121%25 Apr →
nuke13–20.0721%25 Apr →
ancient15–15-0.0429%25 Apr →
dust22–13-0.0545%25 Apr →
ancient11–130.0119%24 Apr →
mirage13–70.1022%24 Apr →
inferno12–160.0014%24 Apr →
dust213–90.0128%23 Apr →
overpass13–110.0733%23 Apr →
mirage7–13-0.0625%22 Apr →
mirage13–40.0428%22 Apr →
inferno13–8-0.0024%15 Apr →
nuke11–13-0.0231%15 Apr →
mirage13–8-0.0116%15 Apr →
ancient13–11-0.0615%14 Apr →
dust213–80.0232%14 Apr →
ancient9–13-0.0323%13 Apr →
mirage13–70.0514%10 Apr →
nuke13–80.0711%10 Apr →
dust211–13-0.0318%9 Apr →
dust213–10-0.0319%9 Apr →
ancient16–120.0526%9 Apr →
anubis11–130.0223%6 Apr →
mirage19–160.0216%21 Mar →
mirage9–13-0.039%14 Mar →
mirage13–100.0917%11 Mar →
mirage2–13-0.0813%10 Mar →
mirage13–80.0334%7 Mar →
ancient12–16-0.0618%7 Mar →
anubis19–170.0013%6 Mar →
ancient10–13-0.0117%27 Feb →
inferno11–130.0331%21 Feb →
anubis11–130.0211%20 Feb →
dust213–8-0.0313%20 Feb →
nuke16–140.0718%15 Feb →
anubis13–100.0628%15 Feb →
mirage13–90.0221%14 Feb →
anubis1–13-0.107%14 Feb →
cache_b10–13-0.0028%14 Feb →
dust214–160.0024%14 Feb →
ancient10–130.0917%13 Feb →
anubis13–60.0519%13 Feb →
nuke8–130.1125%13 Feb →
mirage13–70.0116%13 Feb →
vertigo4–13-0.0817%11 Feb →
inferno4–13-0.1112%9 Feb →
ancient13–50.0417%9 Feb →
inferno13–10-0.0216%8 Feb →
nuke8–130.0112%8 Feb →
dust213–30.0222%8 Feb →
anubis6–13-0.0216%7 Feb →
mirage16–14-0.059%7 Feb →
mirage16–14-0.018%3 Feb →
mirage13–30.0018%3 Feb →
nuke13–8-0.0417%3 Feb →
overpass12–160.0217%31 Jan →
mirage2–13-0.146%31 Jan →
ancient1–13-0.013%27 Jan →
nuke13–20.0516%24 Jan →
overpass16–120.0419%24 Jan →
mirage13–90.0024%24 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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