Lahna

Lahna — CS2 Stats

FI76561198083546770[U:1:123281042]Steam profile ↗✓ No bans

1,070Tracked matches50%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating15,313Purple band · top ~27.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (4 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: 15,313 +2,220 3 Apr – 10 Oct · 37 days played
12,51215,313peak 15,3133 Apr10 Oct
15,313Peak Premier in tracked matches
43Days played since 2026-04-03

Premier CS Rating

  • At peak — 15,313
  • +1,202 over 30 days · improving
  • +1,786 over 90 days
  • Next: Pink band at 20,000 — 4,687 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-21
  • Light Blue band first seen 2026-09-21

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

Share this profile

CSDB.GGLahnaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER15,313 · Purple bandcsdb.gg/stats

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Performance scores

Aim59
Positioning48
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWLWWLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −3.2pp headshot accuracy · −25ms 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 -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 591ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 495ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 508ms

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 (+1.1 against its own average).

Aim5.9
Utility3.4
Positioning4.8
Opening Duels3.0

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

jL

Plays most like jL 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Counter-strafing. Only 67% 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

Aim5.9
Positioning4.8
Utility3.4
Mechanics3.8
Opening Duels3.3
Win Impact5.0

Composite 4.6/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time530ms−122ms
first ⅓ avg 652ms → last ⅓ avg 530ms
Headshot accuracy16.9%−0.5%
first ⅓ avg 17.4% → last ⅓ avg 16.9%

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

0.08Best match rating · 13–9 · nuke, 26 Sept →
50%Best headshot accuracy · 13–0 · inferno, 7 Aug →
414msFastest reaction time · 5–13 · inferno, 6 Jun →
13–0Biggest win · inferno, 7 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
2–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 63% over 16dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageD299–2031%-0.04
ancientC2310–1343%-0.03
infernoA1610–663%-0.02
anubisC125–742%-0.02
nukeD62–433%-0.00
dust2D61–517%-0.04
cache—42–250%-0.05
overpass—44–0100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

155Matches
41%Win rate
0.82Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage40%0.609.3
Anubis333%0.7011.3
Nuke1100%0.7213.0
Dust210%0.7616.0

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.

17.1%Headshot accuracy
32.8%Accuracy (enemy spotted)
32.6%Spray accuracy
67.0%Counter-strafing
9.5°Preaim
536msReaction time
47.1%T opening success
39.2%CT opening success
0.44Enemies flashed / flash
5.9%Flash assists
9.38HE damage / grenade
4.25Flashes / 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. 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 0.4434 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.2487% — below the 40% mark we flag

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–7-0.0113%10 Oct →
nuke7–13-0.0010%10 Oct →
ancient13–7-0.0219%30 Sept →
anubis13–10-0.0416%26 Sept →
dust28–13-0.0425%26 Sept →
mirage13–100.0016%26 Sept →
nuke13–90.0814%26 Sept →
ancient6–13-0.0911%20 Sept →
ancient0–2-0.080%18 Sept →
mirage16–13-0.0319%18 Sept →
anubis13–90.0016%14 Sept →
anubis15–150.0515%13 Sept →
inferno13–40.0019%13 Sept →
cache9–13-0.0319%5 Sept →
mirage10–13-0.0632%5 Sept →
inferno13–9-0.0719%2 Sept →
mirage6–13-0.080%31 Aug →
ancient15–15-0.0020%31 Aug →
anubis9–13-0.0913%30 Aug →
inferno13–50.0423%30 Aug →
mirage5–13-0.0610%30 Aug →
mirage3–130.0019%10 Aug →
mirage10–13-0.0216%9 Aug →
inferno5–13-0.0728%9 Aug →
ancient13–4-0.026%9 Aug →
anubis16–12-0.048%7 Aug →
ancient7–13-0.0415%7 Aug →
inferno13–00.0350%7 Aug →
ancient11–13-0.0713%6 Aug →
mirage13–7-0.0526%6 Aug →
nuke5–13-0.0228%2 Aug →
mirage11–13-0.026%2 Aug →
inferno11–130.0213%2 Aug →
mirage3–13-0.086%27 Jul →
ancient5–13-0.1022%27 Jul →
mirage3–13-0.0713%21 Jul →
mirage7–13-0.0617%21 Jul →
cache13–8-0.0318%21 Jul →
cache8–13-0.1033%20 Jul →
mirage1–13-0.0640%20 Jul →
ancient13–10-0.0216%20 Jul →
cache13–7-0.0410%14 Jul →
anubis3–13-0.0323%14 Jul →
inferno16–12-0.047%12 Jul →
mirage13–100.0114%12 Jul →
ancient13–50.0313%12 Jul →
mirage13–4-0.0517%5 Jul →
ancient11–130.000%3 Jul →
mirage0–13-0.0321%1 Jul →
anubis2–13-0.0324%1 Jul →
ancient16–12-0.0114%1 Jul →
ancient12–16-0.0418%28 Jun →
mirage9–13-0.0616%28 Jun →
inferno13–110.0216%28 Jun →
ancient13–50.0018%27 Jun →
anubis9–13-0.037%27 Jun →
mirage9–130.0716%27 Jun →
dust24–13-0.0223%24 Jun →
overpass13–80.0022%24 Jun →
mirage11–13-0.0715%24 Jun →
ancient14–16-0.0612%24 Jun →
inferno13–2-0.0228%21 Jun →
nuke13–6-0.0210%21 Jun →
anubis13–8-0.0212%21 Jun →
mirage7–130.0716%21 Jun →
overpass13–7-0.0125%18 Jun →
anubis11–13-0.0816%18 Jun →
dust27–130.0114%17 Jun →
mirage13–9-0.039%17 Jun →
inferno13–9-0.0626%17 Jun →
anubis11–130.0019%13 Jun →
mirage11–13-0.0318%13 Jun →
inferno13–70.0715%13 Jun →
dust213–6-0.0430%6 Jun →
ancient13–70.0532%6 Jun →
mirage16–12-0.088%6 Jun →
inferno5–13-0.0727%6 Jun →
mirage16–130.0215%27 May →
ancient13–7-0.0139%27 May →
inferno9–13-0.0023%25 May →
mirage11–13-0.0615%21 May →
ancient5–13-0.0221%11 May →
nuke7–13-0.0717%26 Apr →
ancient11–13-0.0411%26 Apr →
inferno16–12-0.086%18 Apr →
mirage1–13-0.150%14 Apr →
overpass13–11-0.0417%14 Apr →
ancient13–8-0.0012%13 Apr →
inferno8–13-0.0633%10 Apr →
dust28–13-0.047%10 Apr →
overpass13–6-0.0710%10 Apr →
mirage6–13-0.0529%10 Apr →
mirage13–10.036%7 Apr →
ancient15–150.0117%7 Apr →
dust28–13-0.0820%3 Apr →
ancient8–13-0.057%3 Apr →
nuke7–130.0220%3 Apr →
mirage2–13-0.0912%3 Apr →
anubis16–120.0623%3 Apr →
inferno7–13-0.0217%3 Apr →

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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