✪ Dahl

✪ Dahl — CS2 Stats

NO76561198271975931[U:1:311710203]Steam profile ↗✓ No bans

1,031Tracked matches50%Win rate2021Tracked since
1,107Hours in CS
CSDB Rating5.4 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 45 days played since 23 Dec 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,849 -3,434 23 Dec14 Jun · 7 days played
13,44417,283peak 17,28323 Dec14 Jun
17,283Peak Premier in tracked matches
45Days played since 2025-12-23

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 5 among CSDB-tracked players (n=12,790), 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 5 medianLevel 6 medianvs Level 6
Headshot rate39.9%43.8%44.8%4.9% short
Shot accuracy14.1%12.0%12.5%above
Kill/death ratio0.941.021.040.10 short
Match win rate46.0%44.7%45.2%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✪ DahlFACEITLevel 5STANDINGTop 67.6% 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

Aim69
Positioning43
Utility55

0–100 skill scores via Leetify.

Recent form

COLD40564Last 10040%Win rateWLLWLLWLTL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.7pp 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 617ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 620ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 634ms

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: SupportUtility contribution stands above the rest of this profile (+2.2 against its own average).

Aim6.9
Utility5.5
Positioning4.3
Opening Duels3.5
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

jL

Plays most like jL 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; 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

Reaction time. 634ms 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

Aim6.9
Positioning4.3
Utility5.5
Mechanics6.1
Opening Duels2.7
Win Impact5.0

Composite 5.4/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time622ms+4ms
first ⅓ avg 618ms → last ⅓ avg 622ms
Headshot accuracy17.4%−2.4%
first ⅓ avg 19.8% → last ⅓ avg 17.4%

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

0.45Best match rating · 9–0 · inferno, 6 Jun
53%Best headshot accuracy · 5–13 · dust2, 6 Jan
430msFastest reaction time · 13–2 · mirage, 10 Sept
13–1Biggest win · anubis, 22 May

Across the last 100 tracked matches.

Highlights

4Longest win streak
75In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 80% over 5nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2391439%-0.00
infernoD1851328%-0.02
ancientB126650%0.01
overpassD113827%-0.01
dust2S96367%0.00
nukeD81713%-0.01
anubisB63350%-0.01
cacheS54180%0.01
train31233%0.02
vertigo21150%-0.01
office1010%-0.04
stronghold1010%-0.11
alpine110100%-0.13

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,621Lifetime kills
0.94K/D
2,801Matches
46.0%Match win rate · Top 50% of Level 5 players
39.9%Headshot %
14.1%Shot accuracy · Top 50% of Level 5 players
6,802MVPs
1,107Hours (in match)
1,454Bombs planted
567Bombs defused

Most-used weapons

Lifetime map wins

6,480dust2
3,220inferno
873nuke
707vertigo
323train
138cbble
50office
32lake

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

Faceit stats

Combat

26Matches
46%Win rate
0.72Avg K/D
77.0ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%1.0917.5
Train1100%1.0813.0
Inferno10%1.0617.0
Dust210%0.4310.0
Vertigo10%0.7213.0
Nuke1100%0.8815.0

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.

18.1%Headshot accuracy
34.1%Accuracy (enemy spotted)
39.1%Spray accuracy
77.7%Counter-strafing
8.3°Preaim
634msReaction time
38.9%T opening success
42.6%CT opening success
0.57Enemies flashed / flash
5.3%Flash assists
11.16HE damage / grenade
7.48Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 38.9473% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–20.0840%10 Sept
mirage8–13-0.0415%10 Sept
nuke5–130.0217%5 Aug
cache13–100.0111%23 Jul
mirage4–13-0.0224%23 Jul
ancient8–130.0219%17 Jul
inferno13–100.0319%14 Jun
inferno4–9-0.0919%13 Jun
inferno8–8-0.0015%13 Jun
inferno0–9-0.290%13 Jun
nuke3–9-0.1521%13 Jun
vertigo2–9-0.0527%6 Jun
inferno1–9-0.1313%6 Jun
inferno9–00.4530%6 Jun
inferno1–9-0.1319%6 Jun
mirage13–9-0.0114%5 Jun
ancient13–90.0412%5 Jun
inferno6–13-0.0714%27 May
mirage13–110.007%27 May
nuke6–13-0.0616%24 May
mirage9–13-0.0014%24 May
anubis4–13-0.0425%23 May
overpass1–13-0.087%23 May
ancient13–40.1310%23 May
overpass13–90.0712%23 May
cache13–9-0.0415%22 May
anubis13–10.0618%22 May
overpass8–13-0.0224%22 May
mirage10–13-0.0412%22 May
dust28–13-0.1015%17 May
inferno10–13-0.0225%17 May
mirage12–120.0915%17 May
dust213–8-0.0327%14 May
train12–120.0538%13 May
dust213–70.0524%13 May
cache13–100.059%13 May
inferno9–13-0.0324%13 May
ancient13–50.0326%11 May
overpass3–13-0.0514%11 May
mirage13–50.0331%3 May
ancient16–140.0319%2 May
cache13–40.0518%2 May
cache11–13-0.0415%29 Apr
mirage4–130.0734%28 Apr
mirage13–90.0211%22 Apr
mirage8–13-0.0622%22 Apr
dust213–110.0514%22 Apr
overpass7–130.0427%10 Apr
overpass3–13-0.100%6 Apr
office3–13-0.0415%6 Apr
dust213–70.0625%6 Apr
vertigo13–90.026%4 Apr
mirage13–110.0213%4 Apr
overpass7–13-0.0519%2 Apr
mirage11–130.0318%2 Apr
ancient8–13-0.0316%2 Apr
anubis8–13-0.0419%2 Apr
dust26–130.0227%1 Apr
ancient7–13-0.0513%1 Apr
inferno13–40.1030%1 Apr
ancient9–13-0.0217%20 Mar
inferno5–13-0.0826%19 Mar
dust213–10-0.0019%14 Mar
inferno11–13-0.0318%14 Mar
overpass13–90.1211%14 Mar
anubis8–130.0014%13 Mar
mirage1–13-0.0612%12 Mar
mirage13–11-0.0517%12 Mar
stronghold5–13-0.1124%11 Mar
alpine13–5-0.1311%11 Mar
ancient4–130.0119%10 Mar
inferno16–140.0116%5 Mar
mirage4–13-0.037%5 Mar
nuke9–130.0723%31 Jan
mirage13–110.0523%29 Jan
anubis13–9-0.0313%25 Jan
overpass10–13-0.0223%25 Jan
anubis13–2-0.0117%25 Jan
inferno11–13-0.0016%24 Jan
nuke13–30.0722%18 Jan
ancient6–13-0.0714%18 Jan
overpass13–30.1119%18 Jan
nuke15–15-0.0216%18 Jan
inferno10–13-0.0331%18 Jan
mirage6–13-0.0620%14 Jan
mirage8–130.0319%9 Jan
train6–130.0430%9 Jan
mirage4–13-0.0720%6 Jan
dust25–13-0.0253%6 Jan
nuke4–13-0.0529%6 Jan
ancient13–10-0.0423%5 Jan
inferno13–5-0.0226%5 Jan
train13–4-0.0321%5 Jan
mirage13–50.0617%29 Dec
nuke10–130.0116%29 Dec
ancient16–120.0213%23 Dec
dust216–12-0.0314%23 Dec
overpass4–13-0.1013%23 Dec
mirage11–13-0.0417%23 Dec
inferno6–13-0.0513%23 Dec

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 →