Lund1n

Lund1n — CS2 Stats

SE76561198796693322[U:1:836427594]Steam profile ↗✓ No bans

1,337Tracked matches39%Win rate2020Tracked since
3,612Hours in CS3Hrs last 2 wks
CSDB Rating5.4 DevelopingClutch Specialist
Premier CS Rating18,223Purple band · top ~15.6% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 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: 18,223 -2,147 25 Mar – 3 Nov · 44 days played
18,22323,284peak 23,28425 Mar3 Nov
23,284Peak Premier in tracked matches
54Days played since 2026-03-25

Premier CS Rating

  • 5,061 below peak (23,284)
  • -1,777 over 30 days · declining
  • Next: Pink band at 20,000 — 1,777 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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate40.4%44.8%45.7%5.2% short
Shot accuracy14.9%12.4%12.7%above
Kill/death ratio0.981.031.050.07 short
Match win rate44.3%45.2%45.7%1.3% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLund1nFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,223 · Purple bandcsdb.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

Aim71
Positioning54
Utility55

0–100 skill scores via Leetify.

Recent form

COLD51–44–5Last 10051%Win rateTLTLLLLWLW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +3.3pp headshot accuracy · +25ms reaction

Win rate down 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 508ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 558ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 545ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.4 against its own average).

Aim7.1
Utility5.5
Positioning5.4
Opening Duels1.6
Clutch6.0

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Reaction time. 563ms 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

Aim7.1
Positioning5.4
Utility5.5
Mechanics6.5
Opening Duels2.4
Win Impact1.4

Composite 5.4/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time558ms−56ms
first ⅓ avg 615ms → last ⅓ avg 558ms
Headshot accuracy19.0%+2.5%
first ⅓ avg 16.5% → last ⅓ avg 19.0%

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

0.11Best match rating · 13–4 · mirage, 4 Sept →
35%Best headshot accuracy · 6–13 · dust2, 16 Oct →
422msFastest reaction time · 13–5 · ancient, 23 Sept →
13–2Biggest win · mirage, 18 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 63% over 8infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2314–961%-0.00
cacheC156–940%0.01
nukeB158–753%0.00
dust2B137–654%0.00
infernoC114–736%-0.00
ancientA116–555%-0.00
anubisA85–363%0.01
vertigo—20–20%-0.01
overpass—21–150%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,362Lifetime kills
0.98K/D
4,682Matches
44.3%Match win rate
40.4%Headshot %
14.9%Shot accuracy · Top 50% of Level 6 players
11,118MVPs
2,086Hours (in match)
5,537Bombs planted
1,375Bombs defused

Most-used weapons

AK-4729,588
AWP12,331
MP92,843
SSG 081,619
FAMAS1,479

Lifetime map wins

9,058inferno
5,831nuke
3,882vertigo
2,620dust2
2,352train
191cbble
173lake
58safehouse

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

Faceit stats

Combat

78Matches
56%Win rate
1.06Avg K/D
88.9ADR
41%Headshot %

Clutches & streaks

50%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2757%1.0117.1
Nuke560%1.6019.0
Inferno367%0.9821.0
Mirage333%0.6510.0
Train2100%1.4217.0
Anubis2100%1.5120.0
Ancient1100%1.0013.0

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.

18.6%Headshot accuracy
31.7%Accuracy (enemy spotted)
34.9%Spray accuracy
79.0%Counter-strafing
8.3°Preaim
563msReaction time
39.1%T opening success
40.1%CT opening success
0.55Enemies flashed / flash
6.4%Flash assists
11.09HE damage / grenade
11.08Flashes / 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. 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 39.1443% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno15–150.0720%3 Nov →
dust28–13-0.0617%28 Oct →
cache12–120.0117%26 Oct →
nuke11–130.0212%25 Oct →
dust26–13-0.0635%16 Oct →
dust28–130.0520%16 Oct →
cache6–13-0.0520%14 Oct →
ancient13–70.0613%11 Oct →
dust211–130.0121%10 Oct →
mirage13–5-0.0122%10 Oct →
nuke11–130.0520%9 Oct →
nuke11–130.0727%7 Oct →
mirage13–9-0.0316%7 Oct →
cache11–13-0.048%6 Oct →
mirage13–50.0616%2 Oct →
vertigo1–130.0018%2 Oct →
cache13–100.0511%26 Sept →
vertigo10–13-0.0313%24 Sept →
ancient13–5-0.0318%23 Sept →
nuke10–13-0.0218%16 Sept →
mirage2–13-0.055%16 Sept →
inferno7–130.0425%14 Sept →
dust213–100.0026%9 Sept →
cache9–130.0426%6 Sept →
cache13–100.0616%4 Sept →
mirage13–40.1121%4 Sept →
nuke13–80.0213%3 Sept →
cache7–13-0.0221%1 Sept →
mirage5–100.0413%30 Aug →
inferno13–9-0.0427%30 Aug →
cache13–50.0633%28 Aug →
inferno13–100.0817%28 Aug →
anubis13–70.0322%27 Aug →
mirage2–13-0.0614%26 Aug →
anubis13–10-0.0216%26 Aug →
ancient13–11-0.078%25 Aug →
anubis16–120.0819%22 Aug →
mirage13–30.0515%22 Aug →
mirage13–90.0423%21 Aug →
mirage9–13-0.0016%20 Aug →
ancient13–80.0630%20 Aug →
dust214–160.0120%19 Aug →
nuke13–30.0116%19 Aug →
inferno5–13-0.0313%19 Aug →
ancient2–13-0.0333%19 Aug →
nuke11–13-0.038%19 Aug →
dust213–100.0120%19 Aug →
ancient8–13-0.0510%19 Aug →
mirage13–60.0519%18 Aug →
mirage13–8-0.0027%18 Aug →
ancient13–5-0.0023%18 Aug →
nuke10–130.0315%18 Aug →
inferno13–11-0.0020%18 Aug →
mirage14–160.0115%18 Aug →
inferno5–13-0.0122%11 Aug →
dust23–13-0.0313%27 May →
anubis7–13-0.0210%18 May →
dust213–11-0.0219%18 May →
overpass13–7-0.0510%18 May →
mirage15–15-0.0323%18 May →
inferno3–13-0.0719%15 May →
inferno11–130.0114%13 May →
nuke13–60.0318%13 May →
cache9–13-0.0824%11 May →
overpass11–13-0.0518%11 May →
ancient13–40.0515%10 May →
dust213–80.0120%9 May →
nuke13–7-0.0618%9 May →
dust213–7-0.0218%8 May →
nuke13–90.0117%7 May →
ancient5–13-0.028%7 May →
dust213–70.0718%7 May →
cache12–12-0.0627%1 May →
cache9–13-0.018%1 May →
ancient2–13-0.0321%1 May →
cache13–50.0419%29 Apr →
cache13–50.0828%29 Apr →
cache12–120.0016%29 Apr →
mirage16–13-0.039%29 Apr →
cache13–110.0321%29 Apr →
nuke13–70.039%24 Apr →
mirage13–6-0.0916%22 Apr →
mirage9–13-0.0215%22 Apr →
inferno9–13-0.0815%18 Apr →
mirage13–2-0.0112%18 Apr →
anubis13–20.0222%18 Apr →
mirage13–9-0.0326%18 Apr →
inferno13–40.017%18 Apr →
ancient8–130.0416%18 Apr →
mirage13–50.0115%17 Apr →
anubis13–160.0119%15 Apr →
mirage8–13-0.0226%13 Apr →
dust213–50.0410%1 Apr →
anubis4–130.0019%29 Mar →
anubis13–5-0.0416%29 Mar →
mirage16–12-0.0320%27 Mar →
nuke6–13-0.042%27 Mar →
nuke16–14-0.0215%27 Mar →
nuke13–7-0.038%25 Mar →
mirage10–130.0128%25 Mar →

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.