Sighlund

Sighlund — CS2 Stats

DK76561198021251327[U:1:60985599]Steam profile ↗✓ No bans

2,578Tracked matches63%Win rate2020Tracked since
5,915Hours in CS12Hrs last 2 wks
CSDB Rating7.0 StrongPositional Player
CSDB Leaderboard#25671 of 259968 tracked
FaceitLevel 10 · 2,396 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,763 -124 23 Apr – 5 Jun · 7 days played
24,76325,117peak 25,11723 Apr5 Jun
25,117Peak Premier in tracked matches
2,396Highest Faceit ELO seen on CSDB
76Days played since 2025-04-23

Faceit ELO

  • At peak — 2,396
  • Next: 2,500 ELO at 2,500 — 104 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate50.4%50.9%
Shot accuracy17.3%13.7%
Kill/death ratio1.121.09
Match win rate47.7%48.4%

Share this profile

CSDB.GGSighlundFACEITLevel 10 · 2,396 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,396csdb.gg/stats

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Performance scores

Aim83
Positioning63
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateWWWLWLLWLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −2.4pp headshot accuracy · −67ms 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 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 562ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 554ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 588ms

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 (+1.5 against its own average).

Aim8.3
Utility5.7
Positioning6.3
Opening Duels3.0
Clutch4.0

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

iM

Plays most like iM 96% playstyle similarity

Most alike: utility contribution, 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. 579ms 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
Utility5.7
Mechanics7.5
Opening Duels3.0
Win Impact9.4

Composite 7.0/10 (Strong), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time589ms−20ms
first ⅓ avg 609ms → last ⅓ avg 589ms
Headshot accuracy22.1%+2.2%
first ⅓ avg 19.8% → last ⅓ avg 22.1%

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

0.17Best match rating · 9–0 · inferno, 4 Dec →
43%Best headshot accuracy · 9–0 · inferno, 4 Dec →
438msFastest reaction time · 4–2 · mirage, 28 Jun →
13–1Biggest win · dust2, 20 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
18–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 69% over 26ancientWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
infernoS2618–869%0.02
nukeA2012–860%0.02
ancientB136–746%0.00
dust2B126–650%0.02
overpassA95–456%-0.01
anubisA74–357%0.01
train—43–175%0.01
mirage—31–233%0.02
cache—10–10%0.05
vertigo—11–0100%-0.00
poseidon—10–10%0.08
rooftop—11–0100%0.14
brewery—10–10%-0.04
dogtown—11–0100%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

199,884Lifetime kills
1.12K/D · Top 50% of Level 10 players
7,173Matches
47.7%Match win rate
50.4%Headshot %
17.3%Shot accuracy · Top 25% of Level 10 players
25,490MVPs
4,511Hours (in match)
10,507Bombs planted
2,916Bombs defused

Most-used weapons

AK-4772,341
AWP21,885
SG 5535,503
Knife4,436
AUG3,500
P2503,314

Lifetime map wins

26,136inferno
14,026nuke
7,823vertigo
5,986train
4,980dust2
920cbble
111office
103lake

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

Faceit stats

Combat

3,845Matches
50%Win rate
1.33Avg K/D
85.7ADR
48%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno19855%1.3418.3
Nuke16757%1.3818.4
Dust212143%1.2318.1
Anubis10447%1.2016.9
Ancient9743%1.3217.7
Vertigo9253%1.3317.9
Mirage7439%1.0416.6
Overpass6247%1.2218.9

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.

21.4%Headshot accuracy
37.3%Accuracy (enemy spotted)
40.4%Spray accuracy
83.6%Counter-strafing
9.1°Preaim
579msReaction time
40.4%T opening success
43.2%CT opening success
0.64Enemies flashed / flash
9.1%Flash assists
5.58HE damage / grenade
8.44Flashes / match

Recommended for you

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.

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0220%2 Nov →
inferno13–20.1031%22 Oct →
ancient13–100.0425%22 Oct →
ancient11–130.0617%21 Oct →
dust213–110.0423%21 Oct →
anubis2–13-0.1018%18 Oct →
cache8–130.0528%15 Oct →
nuke13–6-0.0322%15 Oct →
nuke4–13-0.0517%15 Oct →
nuke11–13-0.0023%3 Oct →
inferno13–60.046%22 Sept →
dust213–10.0432%20 Sept →
anubis9–130.0021%20 Sept →
ancient2–13-0.0830%2 Sept →
inferno13–7-0.0222%3 Aug →
nuke13–110.0929%26 Jul →
ancient0–13-0.0817%26 Jul →
anubis10–130.0319%18 Jul →
dust213–60.0341%16 Jul →
vertigo13–7-0.0032%8 Jul →
inferno13–110.0315%4 Jul →
nuke5–13-0.0514%3 Jul →
mirage4–20.1018%28 Jun →
inferno13–60.0913%26 Jun →
inferno13–4-0.0227%10 Jun →
inferno16–140.0715%3 Jun →
poseidon7–90.0815%31 May →
anubis13–60.0814%29 May →
inferno13–110.0928%24 May →
inferno15–190.0622%18 May →
anubis13–60.0611%17 May →
overpass2–13-0.0629%10 May →
nuke13–100.0538%8 May →
ancient10–130.0124%5 Apr →
inferno8–80.0414%4 Apr →
nuke13–40.0323%1 Apr →
overpass6–13-0.0526%23 Mar →
inferno13–10-0.0316%23 Mar →
ancient10–13-0.057%14 Mar →
mirage5–13-0.0322%28 Feb →
ancient3–13-0.0719%19 Feb →
nuke5–130.0114%19 Feb →
overpass11–13-0.0716%14 Feb →
overpass13–80.0216%18 Jan →
inferno13–10-0.0029%16 Jan →
train13–100.0526%7 Jan →
ancient13–50.0626%4 Jan →
dust25–13-0.0219%3 Jan →
nuke13–110.0521%3 Jan →
overpass13–80.0518%3 Jan →
dust213–110.0226%22 Dec →
nuke6–13-0.0219%22 Dec →
inferno13–100.0522%22 Dec →
rooftop9–30.1420%22 Dec →
overpass13–80.1031%20 Dec →
nuke16–12-0.0221%19 Dec →
inferno9–7-0.0920%4 Dec →
inferno9–00.1743%4 Dec →
inferno13–110.0422%3 Dec →
ancient13–90.0615%18 Nov →
dust215–150.0119%1 Nov →
ancient13–20.0128%24 Oct →
nuke13–110.0214%24 Oct →
nuke13–11-0.0211%18 Oct →
mirage7–13-0.0129%2 Oct →
nuke16–140.0625%27 Sept →
inferno11–130.0419%26 Sept →
train13–110.0525%24 Sept →
inferno8–13-0.0617%20 Sept →
overpass10–13-0.0417%20 Sept →
nuke13–70.0819%5 Sept →
overpass13–8-0.0515%5 Sept →
inferno2–130.0317%4 Aug →
inferno13–11-0.0116%2 Aug →
dust214–16-0.0114%28 Jul →
overpass13–100.0215%20 Jul →
dust214–16-0.0313%7 Jul →
inferno9–60.0324%7 Jul →
dust211–130.0617%5 Jul →
inferno8–13-0.0712%30 Jun →
inferno11–13-0.0111%26 Jun →
nuke16–120.0324%23 Jun →
dust25–13-0.0235%21 Jun →
inferno13–110.0130%17 Jun →
dust213–100.1122%15 Jun →
anubis16–130.0114%8 Jun →
brewery5–9-0.0428%8 Jun →
dogtown9–40.0918%8 Jun →
nuke8–80.1126%8 Jun →
nuke3–13-0.0625%5 Jun →
nuke11–13-0.0423%30 May →
ancient13–100.0818%29 May →
train13–8-0.0426%29 May →
inferno13–70.0220%29 May →
nuke13–70.1023%29 May →
ancient11–130.0015%20 May →
train4–13-0.0317%4 May →
dust216–140.0219%27 Apr →
anubis13–9-0.0115%26 Apr →
inferno11–13-0.0225%23 Apr →

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 →

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