Lina Rafn

Lina Rafn — CS2 Stats

76561198315768893[U:1:355503165]Steam profile ↗✓ No bans

2,052Tracked matches38%Win rate2023Tracked since
CSDB Rating3.2 LearningPositional Player
Premier CS Rating4,999Grey band · top ~78.8% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+187Premier CS Rating · 4,812 → 4,999

Rating over time

Premier CS Rating: 4,999 -3,484 10 Aug – 27 Oct · 31 days played
4,6838,837peak 8,83710 Aug27 Oct
8,837Peak Premier in tracked matches
30Days played since 2026-08-10

Premier CS Rating

  • 3,838 below peak (8,837)
  • -1,550 over 30 days · declining
  • -3,484 over 90 days
  • Next: Light Blue band at 5,000 — 1 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGLina RafnFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER4,999 · Grey bandcsdb.gg/stats

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Performance scores

Aim42
Positioning58
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY36–61–3Last 10036%Win rateWWWLLLLWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +4.2pp headshot accuracy · +111ms reaction

Win rate up 20pp 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 17%
  • Avg reaction 633ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 651ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

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 (+2.3 against its own average).

Aim4.2
Utility3.9
Positioning5.8
Opening Duels4.3
Clutch0.0

Limited 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

s1mple

Plays most like s1mple 69% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 606ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 45% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning5.8
Utility3.9
Mechanics0.0
Opening Duels5.0
Win Impact1.0

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time600ms+28ms
first ⅓ avg 573ms → last ⅓ avg 600ms
Headshot accuracy16.3%−2.2%
first ⅓ avg 18.5% → last ⅓ avg 16.3%

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

0.12Best match rating · 9–13 · dust2, 5 Oct →
50%Best headshot accuracy · 6–13 · dust2, 17 Aug →
375msFastest reaction time · 8–13 · inferno, 18 Aug →
13–0Biggest win · nuke, 27 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
4–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 50% over 28cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2814–1450%0.01
nukeB2412–1250%0.01
anubisD132–1115%-0.01
dust2D112–918%-0.03
mirageC114–736%0.00
cacheD71–614%-0.03
ancientD61–517%-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

7Matches
43%Win rate
0.46Avg K/D
47.5ADR
45%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke2100%0.4612.5
Inferno250%0.468.0
Vertigo10%0.6210.0
Dust210%0.356.0
Anubis10%0.385.0

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.

16.6%Headshot accuracy
35.7%Accuracy (enemy spotted)
37.7%Spray accuracy
45.0%Counter-strafing
9.6°Preaim
606msReaction time
48.1%T opening success
52.1%CT opening success
0.42Enemies flashed / flash
3.2%Flash assists
10.30HE damage / grenade
3.60Flashes / 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. Movement Guide

    Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.

    Counter-strafing 44.9791% — below the 45% mark we flag

    Practice Config →
  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 0.4249 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–00.0730%27 Oct →
anubis13–7-0.0114%26 Oct →
nuke13–50.0616%26 Oct →
dust23–13-0.0810%26 Oct →
nuke7–130.0316%26 Oct →
inferno6–130.038%26 Oct →
anubis9–13-0.0329%25 Oct →
dust213–110.0514%25 Oct →
mirage5–13-0.0223%25 Oct →
dust24–13-0.0121%25 Oct →
inferno7–130.0413%25 Oct →
nuke15–150.0114%20 Oct →
inferno5–13-0.038%20 Oct →
mirage13–50.0019%20 Oct →
anubis3–13-0.0222%20 Oct →
inferno13–90.0211%20 Oct →
nuke8–130.0211%20 Oct →
dust24–13-0.1418%19 Oct →
nuke7–13-0.018%19 Oct →
inferno6–130.0314%19 Oct →
inferno13–60.0014%19 Oct →
cache6–130.0131%19 Oct →
mirage8–130.0728%18 Oct →
mirage8–13-0.0217%18 Oct →
cache11–13-0.0513%14 Oct →
inferno13–90.0928%9 Oct →
nuke16–120.0119%9 Oct →
inferno13–7-0.0213%7 Oct →
mirage13–40.0418%7 Oct →
mirage10–13-0.014%6 Oct →
nuke13–20.040%6 Oct →
mirage6–13-0.0613%6 Oct →
dust29–13-0.0722%6 Oct →
dust24–13-0.0717%6 Oct →
nuke8–13-0.0711%6 Oct →
inferno1–13-0.063%5 Oct →
dust29–130.1241%5 Oct →
cache13–80.0112%5 Oct →
dust27–13-0.0322%5 Oct →
anubis13–160.0116%5 Oct →
inferno7–13-0.0313%5 Oct →
inferno13–40.047%4 Oct →
dust213–70.0221%4 Oct →
nuke11–13-0.0117%1 Oct →
inferno3–13-0.0316%1 Oct →
mirage7–130.056%1 Oct →
mirage13–70.0415%1 Oct →
nuke13–100.039%30 Sept →
mirage10–130.0015%29 Sept →
cache14–16-0.027%29 Sept →
nuke13–10-0.0213%29 Sept →
ancient2–13-0.0613%28 Sept →
nuke16–120.0511%28 Sept →
nuke13–60.087%27 Sept →
inferno13–50.0731%14 Sept →
inferno11–13-0.0110%14 Sept →
nuke15–15-0.0216%9 Sept →
ancient13–70.0616%9 Sept →
anubis15–15-0.024%9 Sept →
anubis5–13-0.0315%9 Sept →
ancient9–130.1012%9 Sept →
inferno13–100.0510%9 Sept →
inferno13–60.0922%1 Sept →
ancient8–13-0.0023%1 Sept →
nuke13–3-0.0114%1 Sept →
inferno5–13-0.087%1 Sept →
inferno13–11-0.0233%31 Aug →
nuke11–130.049%31 Aug →
inferno13–50.0119%25 Aug →
inferno9–13-0.0721%25 Aug →
inferno13–70.0530%25 Aug →
inferno7–13-0.0731%23 Aug →
anubis3–13-0.045%23 Aug →
nuke13–70.0519%19 Aug →
nuke7–130.0314%19 Aug →
dust25–13-0.0833%19 Aug →
inferno13–70.0213%18 Aug →
anubis7–130.0119%18 Aug →
nuke3–13-0.0710%18 Aug →
inferno8–130.0419%18 Aug →
anubis4–13-0.0320%18 Aug →
dust26–13-0.0350%17 Aug →
ancient5–13-0.0514%17 Aug →
inferno11–13-0.003%17 Aug →
inferno13–60.0815%17 Aug →
nuke13–9-0.074%16 Aug →
cache1–13-0.0927%16 Aug →
anubis5–13-0.0015%16 Aug →
anubis13–9-0.0124%16 Aug →
nuke10–13-0.047%16 Aug →
anubis11–13-0.0415%16 Aug →
cache10–13-0.0225%12 Aug →
anubis8–130.0524%12 Aug →
ancient10–13-0.0615%12 Aug →
nuke13–11-0.0118%11 Aug →
cache8–13-0.079%11 Aug →
inferno16–140.0115%11 Aug →
nuke4–13-0.0738%11 Aug →
inferno10–13-0.0611%10 Aug →
mirage13–9-0.0719%10 Aug →

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 →

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