hegnar

hegnar — CS2 Stats

76561198158625563[U:1:198359835]Steam profile ↗✓ No bans

1,397Tracked matches55%Win rate2020Tracked since
4,522Hours in CS
CSDB Rating5.7 SolidPositional Player
Premier CS Rating18,149Purple band · top ~15.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (2 days ago). 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: 18,149 -2,801 8 Feb – 12 Oct · 30 days played
15,96320,950peak 20,9508 Feb12 Oct
20,950Peak Premier in tracked matches
1,616Highest Faceit ELO seen on CSDB
47Days played since 2026-02-08

Faceit ELO

  • At peak — 1,616
  • Next: Level 9 at 1,751 — 135 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 2,801 below peak (20,950)
  • +1,432 over 90 days
  • Next: Pink band at 20,000 — 1,851 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate56.0%44.3%46.9%above
Shot accuracy13.5%11.9%13.0%above
Kill/death ratio1.111.031.08above
Match win rate54.7%45.2%46.7%above

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGhegnarPREMIER18,149 · Purple bandPEAK ELO1,616csdb.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

Aim61
Positioning53
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateLWWWLLLLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +2.9pp headshot accuracy · −7ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 656ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 623ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 626ms

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).

Aim6.1
Utility5.2
Positioning5.3
Opening Duels2.7
Clutch2.4

Effective flashes

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

ZywOo

Plays most like ZywOo 85% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 632ms 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

Aim6.1
Positioning5.3
Utility5.2
Mechanics6.2
Opening Duels4.4
Win Impact6.7

Composite 5.7/10 (Solid), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time633ms−84ms
first ⅓ avg 717ms → last ⅓ avg 633ms
Headshot accuracy20.1%+0.9%
first ⅓ avg 19.2% → last ⅓ avg 20.1%

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

0.13Best match rating · 13–2 · mirage, 23 Jul →
47%Best headshot accuracy · 9–13 · dust2, 4 Mar →
500msFastest reaction time · 13–11 · cache, 27 Sept →
13–2Biggest win · dust2, 26 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 67% over 9ancientWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2415–963%-0.01
mirageC176–1135%-0.03
infernoC145–936%-0.05
nukeB147–750%-0.04
anubisD103–730%-0.03
cacheS96–367%-0.02
ancientD91–811%-0.03
overpass—32–167%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,262Lifetime kills
1.11K/D · Top 50% of Purple band
7,642Matches
54.7%Match win rate · Top 5% of Purple band
56.0%Headshot % · Top 10% of Purple band
13.5%Shot accuracy · Top 50% of Purple band
12,091MVPs
4,522Hours (in match)
4,995Bombs planted
864Bombs defused

Most-used weapons

AK-4763,272
AWP7,874
FAMAS3,088
P901,675
Negev1,656

Lifetime map wins

11,049dust2
10,870inferno
2,562nuke
1,204train
1,014vertigo
803cbble
743lake
323office

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

Faceit stats

Combat

610Matches
55%Win rate
0.93Avg K/D
66.8ADR
43%Headshot %

Clutches & streaks

32%1v1 clutch win
15%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage12163%0.8312.2
Dust25169%0.9312.5
Ancient4544%0.8613.8
Anubis4560%0.9814.7
Inferno3853%1.0413.1
Overpass2662%1.0414.7
Nuke1942%0.7014.0
Vertigo560%1.0814.6

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.

19.9%Headshot accuracy
31.8%Accuracy (enemy spotted)
36.4%Spray accuracy
77.9%Counter-strafing
10.2°Preaim
632msReaction time
53.8%T opening success
41.2%CT opening success
0.78Enemies flashed / flash
4.1%Flash assists
8.62HE damage / grenade
6.35Flashes / 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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno14–16-0.0321%12 Oct →
cache13–60.0328%12 Oct →
dust213–6-0.0321%7 Oct →
mirage13–3-0.0220%7 Oct →
cache8–13-0.0220%2 Oct →
anubis3–13-0.0519%2 Oct →
ancient3–13-0.0922%30 Sept →
inferno7–13-0.0122%30 Sept →
nuke13–10-0.0419%30 Sept →
ancient13–16-0.0616%29 Sept →
dust213–80.0023%28 Sept →
dust213–6-0.0316%28 Sept →
mirage10–13-0.0114%27 Sept →
inferno5–13-0.0413%27 Sept →
cache13–11-0.0715%27 Sept →
mirage13–6-0.0521%27 Sept →
dust213–90.0122%27 Sept →
anubis15–15-0.0316%26 Sept →
dust213–20.0722%26 Sept →
cache13–60.0418%26 Sept →
nuke10–13-0.0216%25 Sept →
nuke13–11-0.0515%25 Sept →
nuke13–80.0111%25 Sept →
dust25–13-0.0023%25 Sept →
dust213–4-0.0441%23 Sept →
nuke13–5-0.0326%23 Sept →
dust213–100.0121%22 Sept →
cache7–13-0.0218%22 Sept →
dust26–13-0.0429%21 Sept →
dust26–130.0025%20 Sept →
dust213–80.0315%20 Sept →
anubis13–16-0.0518%18 Sept →
nuke7–13-0.0321%18 Sept →
dust23–13-0.1131%18 Sept →
inferno2–9-0.165%9 Sept →
anubis9–13-0.0012%9 Sept →
anubis8–13-0.058%5 Sept →
dust212–16-0.0415%5 Sept →
dust21–13-0.0818%5 Sept →
cache13–5-0.0115%5 Sept →
nuke4–13-0.1011%5 Sept →
anubis13–9-0.0712%5 Sept →
mirage3–13-0.138%4 Aug →
inferno13–9-0.0533%4 Aug →
mirage7–13-0.0526%4 Aug →
inferno13–5-0.0719%4 Aug →
nuke13–11-0.0532%4 Aug →
cache13–4-0.0313%3 Aug →
inferno10–130.0222%26 Jul →
nuke6–13-0.0917%25 Jul →
nuke13–9-0.0115%25 Jul →
anubis13–7-0.069%23 Jul →
mirage13–20.1316%23 Jul →
cache19–16-0.0411%8 Jul →
dust216–140.0221%6 Jul →
inferno13–10-0.0117%6 Jul →
dust213–7-0.0127%23 Jun →
dust213–4-0.0123%23 Jun →
nuke5–13-0.0418%21 Jun →
mirage6–13-0.0519%21 Jun →
mirage13–16-0.0918%20 Jun →
dust213–110.0018%20 Jun →
anubis7–130.0232%20 Jun →
mirage5–13-0.0618%13 May →
overpass3–11-0.056%6 May →
inferno13–5-0.0035%6 May →
mirage4–13-0.0321%30 Apr →
cache2–13-0.0318%29 Apr →
ancient10–13-0.0713%29 Apr →
ancient9–13-0.0014%27 Apr →
nuke13–11-0.0318%22 Apr →
mirage6–130.0314%22 Apr →
inferno6–13-0.116%22 Apr →
ancient13–9-0.0416%30 Mar →
mirage14–16-0.0124%30 Mar →
ancient11–13-0.0229%28 Mar →
ancient3–130.0220%28 Mar →
mirage11–13-0.0910%24 Mar →
dust213–80.0016%20 Mar →
mirage13–100.0315%20 Mar →
anubis13–110.0320%19 Mar →
ancient4–13-0.0623%17 Mar →
inferno13–7-0.0324%17 Mar →
nuke8–13-0.0120%17 Mar →
inferno9–13-0.0819%16 Mar →
overpass13–5-0.0224%16 Mar →
ancient9–13-0.0021%16 Mar →
inferno11–13-0.079%15 Mar →
dust213–9-0.0721%14 Mar →
mirage13–10-0.0317%14 Mar →
overpass13–8-0.065%14 Mar →
nuke4–13-0.046%14 Mar →
dust29–13-0.0947%4 Mar →
anubis8–130.0022%1 Mar →
inferno12–16-0.0413%25 Feb →
mirage16–13-0.0625%19 Feb →
dust210–130.0028%19 Feb →
dust213–20.0819%19 Feb →
dust21–13-0.0524%13 Feb →
mirage2–80.0136%8 Feb →

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.