Reidun Rævskjegg

Reidun Rævskjegg — CS2 Stats

LC76561198184439142[U:1:224173414]Steam profile ↗✓ No bans

584Tracked matches73%Win rate2020Tracked since
2,372Hours in CS
CSDB Rating6.1 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,850 -2,210 28 Mar – 17 Sept · 23 days played
15,44120,660peak 20,66028 Mar17 Sept
20,760Peak Premier in tracked matches
1,457Highest Faceit ELO seen on CSDB
45Days played since 2026-03-28

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.

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 rate45.0%46.8%48.2%3.2% short
Shot accuracy15.6%13.0%13.2%above
Kill/death ratio0.951.061.070.12 short
Match win rate46.7%46.3%46.9%meets

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGReidun RævskjeggFACEITLevel 8STANDINGTop 31.2% of rankedPEAK ELO1,457csdb.gg/stats

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Performance scores

Aim79
Positioning45
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLWWWLLLWLW

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +0.4pp headshot accuracy · +38ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 591ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 522ms

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 (+1.2 against its own average).

Aim7.9
Utility3.2
Positioning4.5
Opening Duels2.6
Clutch3.0

Strong CT-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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

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

Aim7.9
Positioning4.5
Utility3.2
Mechanics6.7
Opening Duels3.4
Win Impact10.0

Composite 6.1/10 (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 rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time514ms−73ms
first ⅓ avg 587ms → last ⅓ avg 514ms
Headshot accuracy13.8%−2.1%
first ⅓ avg 15.9% → last ⅓ avg 13.8%

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 · 13–2 · ancient, 6 Sept →
31%Best headshot accuracy · 11–13 · mirage, 14 Aug →
375msFastest reaction time · 13–8 · anubis, 25 Sept →
13–1Biggest win · mirage, 1 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 65% over 20cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB3718–1949%-0.01
ancientS2013–765%0.01
anubisA138–562%-0.04
cacheD72–529%-0.02
nukeD72–529%-0.02
dust2D62–433%-0.02
overpassD62–433%-0.04
inferno—43–175%0.06

Across the last 100 tracked matches.

Lifetime stats

106,740Lifetime kills
0.95K/D
4,960Matches
46.7%Match win rate · Top 50% of Level 8 players
45.0%Headshot %
15.6%Shot accuracy · Top 50% of Level 8 players
12,086MVPs
2,372Hours (in match)
5,345Bombs planted
1,600Bombs defused

Most-used weapons

AK-4743,258
AWP7,909
Tec-92,013
P2501,871
FAMAS1,638

Lifetime map wins

5,766dust2
3,267inferno
2,021nuke
1,255vertigo
1,090train
554cbble
54office
26militia

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

Faceit stats

Combat

1,020Matches
53%Win rate
0.97Avg K/D
74.5ADR
43%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5355%1.0014.7
Ancient3256%1.0415.7
Anubis1878%0.9214.6
Nuke1338%1.6614.9
Train1173%0.8412.1
Cache944%0.9915.2
Overpass862%0.9514.0
Inferno729%1.2118.0

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.

13.3%Headshot accuracy
38.6%Accuracy (enemy spotted)
40.6%Spray accuracy
80.0%Counter-strafing
9.2°Preaim
512msReaction time
38.8%T opening success
48.7%CT opening success
0.40Enemies flashed / flash
0.6%Flash assists
7.72HE damage / grenade
3.32Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.3336% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4007 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 38.7632% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage12–160.0112%23 Oct →
cache13–9-0.1112%22 Oct →
ancient13–40.0416%10 Oct →
cache13–20.0824%7 Oct →
nuke7–13-0.0215%26 Sept →
cache17–19-0.0210%26 Sept →
ancient7–13-0.0210%25 Sept →
anubis13–8-0.0216%25 Sept →
cache10–130.0315%25 Sept →
mirage13–8-0.0211%23 Sept →
mirage13–11-0.0810%23 Sept →
anubis13–8-0.043%23 Sept →
anubis19–17-0.0316%22 Sept →
anubis13–9-0.116%22 Sept →
ancient13–16-0.0319%18 Sept →
nuke13–90.0420%17 Sept →
mirage13–60.0414%15 Sept →
anubis13–11-0.0613%14 Sept →
ancient13–70.0022%14 Sept →
inferno13–90.0515%13 Sept →
ancient13–50.1214%13 Sept →
mirage10–130.0414%13 Sept →
mirage13–9-0.0711%11 Sept →
mirage13–90.0711%11 Sept →
dust213–70.0020%11 Sept →
ancient13–40.0013%11 Sept →
dust213–50.089%11 Sept →
dust28–13-0.0210%11 Sept →
mirage13–8-0.0411%11 Sept →
mirage13–60.1113%10 Sept →
dust24–13-0.0312%10 Sept →
mirage13–80.0823%10 Sept →
mirage6–130.0317%9 Sept →
mirage3–13-0.0717%8 Sept →
nuke13–8-0.0420%8 Sept →
nuke10–13-0.0225%7 Sept →
cache4–13-0.0813%6 Sept →
ancient13–20.1415%6 Sept →
nuke11–13-0.0125%6 Sept →
inferno13–50.1320%6 Sept →
ancient10–13-0.0510%6 Sept →
ancient6–13-0.0013%6 Sept →
mirage8–13-0.039%6 Sept →
anubis1–130.0415%4 Sept →
mirage13–8-0.0314%4 Sept →
mirage13–1-0.074%1 Sept →
inferno6–13-0.0822%31 Aug →
mirage5–130.0118%30 Aug →
cache5–130.0212%14 Aug →
mirage11–13-0.0031%14 Aug →
mirage0–13-0.050%29 Jun →
dust25–13-0.087%29 Jun →
overpass13–90.0113%13 May →
mirage15–15-0.0715%7 May →
anubis5–13-0.0610%6 May →
mirage9–13-0.0220%2 May →
cache7–13-0.0615%1 May →
inferno9–10.1117%1 May →
mirage10–13-0.0228%1 May →
ancient13–40.0221%1 May →
ancient8–13-0.0116%30 Apr →
overpass3–13-0.0813%30 Apr →
anubis13–9-0.059%30 Apr →
ancient13–10-0.069%30 Apr →
mirage12–16-0.0328%29 Apr →
mirage10–13-0.0013%24 Apr →
anubis4–13-0.0617%22 Apr →
nuke2–13-0.0317%22 Apr →
ancient7–13-0.0224%21 Apr →
overpass13–80.0324%19 Apr →
mirage13–70.1022%17 Apr →
dust22–13-0.0818%17 Apr →
mirage10–13-0.0326%17 Apr →
overpass7–13-0.0313%11 Apr →
ancient8–13-0.0516%11 Apr →
mirage13–90.0219%11 Apr →
nuke6–13-0.0420%11 Apr →
mirage13–16-0.0322%11 Apr →
ancient13–100.0020%8 Apr →
mirage13–10-0.049%7 Apr →
mirage13–11-0.0410%7 Apr →
overpass7–13-0.0928%7 Apr →
mirage13–110.0315%6 Apr →
overpass4–13-0.0618%6 Apr →
ancient13–70.0114%6 Apr →
mirage13–9-0.0313%6 Apr →
ancient13–7-0.0110%6 Apr →
mirage10–13-0.048%4 Apr →
mirage13–50.029%4 Apr →
anubis3–13-0.0517%4 Apr →
mirage4–13-0.046%4 Apr →
mirage9–13-0.0417%4 Apr →
anubis13–70.0419%4 Apr →
ancient13–110.0311%2 Apr →
mirage13–10-0.0113%2 Apr →
ancient13–80.0014%2 Apr →
anubis13–110.0112%2 Apr →
mirage11–13-0.0112%31 Mar →
anubis4–13-0.0712%28 Mar →
ancient13–4-0.0017%28 Mar →

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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