Lund

Lund — CS2 Stats

76561198400284492[U:1:440018764]Steam profile ↗✓ No bans

4,654Tracked matches41%Win rate2020Tracked since
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating19,324Purple band · top ~11.2% of ranked players (population est.)
CSDB Leaderboard#3432 of 6955 tracked
FaceitLevel 10 · 2,148 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGLundFACEITLevel 10 · 2,148 ELOSTANDINGTop 12.4% of rankedPREMIER19,324 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning45
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY49447Last 10049%Win rateLLLLWWWLWT

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.3
Aggression5.1
Utility5.3
Positioning4.5
Opening Duels0.8
Clutch3.2

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim8.3
Positioning4.5
Utility5.3
Mechanics7.8
Opening Duels1.6
Win Impact2.1

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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time602ms−5ms
first ⅓ avg 607ms → last ⅓ avg 602ms
Headshot accuracy27.6%+0.7%
first ⅓ avg 26.9% → last ⅓ avg 27.6%

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.

Highlights

0.22Best rating — inferno 13–5
130Biggest win — inferno
5Longest win streak
L4Current streak
54In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 67% over 12dust2Weakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA1810856%0.05
dust2D1431121%-0.01
nukeS128467%0.03
mirageB115645%0.02
vertigoA106460%0.05
cacheD82625%0.02
ancientB84450%0.02
anubisS64267%-0.01
officeC52340%-0.01
train42250%-0.03
overpass21150%0.01
boulder110100%0.02
fachwerk110100%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,137Matches
53%Win rate
1.25Avg K/D
83.2ADR
56%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient11553%1.1716.9
Mirage11047%1.0915.8
Dust29050%1.1616.6
Anubis8357%1.1816.1
Inferno5549%1.1717.8
Nuke4657%1.1416.6
Vertigo3361%1.1819.1
Overpass1145%1.0315.6

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.

27.7%Headshot accuracy
35.3%Accuracy (enemy spotted)
40.0%Spray accuracy
85.1%Counter-strafing
10.6°Preaim
600msReaction time
23.6%T opening success
42.7%CT opening success
0.56Enemies flashed / flash
8.5%Flash assists
8.16HE damage / grenade
10.77Flashes / 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 23.6415% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0216%25 Aug
vertigo10–13-0.0244%24 Aug
vertigo11–130.0429%24 Aug
inferno5–130.0422%24 Aug
train13–90.0824%21 Aug
nuke13–100.0520%21 Aug
boulder13–60.0218%21 Aug
cache1–13-0.0225%21 Aug
nuke13–5-0.0033%21 Aug
vertigo12–120.0339%21 Aug
vertigo2–90.0214%18 Aug
train7–60.0232%18 Aug
mirage5–13-0.0533%18 Aug
nuke5–13-0.0122%18 Aug
mirage13–100.0332%18 Aug
train6–13-0.0467%17 Aug
dust210–13-0.0331%17 Aug
ancient6–20.0730%17 Aug
office13–4-0.0137%17 Aug
inferno5–130.0234%17 Aug
overpass13–100.0425%17 Aug
mirage6–13-0.0323%11 Aug
nuke7–13-0.0526%11 Aug
ancient13–7-0.0217%11 Aug
mirage12–16-0.0125%11 Aug
vertigo16–140.0422%11 Aug
overpass9–13-0.0329%11 Aug
nuke13–40.0321%11 Aug
dust24–13-0.0713%11 Aug
mirage6–13-0.0320%11 Aug
inferno10–130.0438%10 Aug
vertigo13–40.0421%10 Aug
inferno13–80.0629%10 Aug
anubis16–14-0.0129%10 Aug
dust213–110.0224%10 Aug
inferno13–40.0921%10 Aug
ancient9–130.0331%10 Aug
inferno13–20.1123%10 Aug
dust213–20.1032%10 Aug
cache6–13-0.0324%10 Aug
inferno6–13-0.0120%10 Aug
mirage14–160.0127%10 Aug
dust211–130.0028%9 Aug
inferno13–90.0626%9 Aug
vertigo16–140.0816%9 Aug
vertigo16–130.1030%9 Aug
office11–13-0.0130%8 Aug
inferno13–00.1232%8 Aug
dust24–13-0.0329%8 Aug
nuke13–30.0633%8 Aug
cache13–60.1829%8 Aug
vertigo13–90.1330%8 Aug
cache12–120.0225%7 Aug
ancient15–150.0531%7 Aug
inferno12–120.1221%7 Aug
inferno13–50.2236%7 Aug
dust29–13-0.0234%7 Aug
anubis7–13-0.0740%6 Aug
dust210–13-0.0446%6 Aug
nuke13–60.0319%6 Aug
office6–13-0.0116%6 Aug
nuke13–40.0624%6 Aug
cache7–13-0.0247%6 Aug
inferno13–100.0023%6 Aug
dust212–12-0.0615%2 Aug
anubis13–60.0025%2 Aug
office12–12-0.0143%2 Aug
fachwerk13–100.1040%2 Aug
nuke3–13-0.0328%2 Aug
vertigo13–90.0332%2 Aug
cache8–13-0.0225%1 Aug
inferno5–13-0.0426%1 Aug
office13–8-0.0324%1 Aug
cache10–130.0125%1 Aug
ancient10–130.0218%31 Jul
mirage13–80.0120%31 Jul
mirage8–130.0231%31 Jul
ancient13–70.0223%28 Jul
mirage13–80.1032%28 Jul
dust213–16-0.0333%27 Jul
mirage13–30.1744%27 Jul
mirage13–100.0018%27 Jul
dust210–13-0.0328%25 Jul
cache13–5-0.0030%25 Jul
inferno13–90.0730%25 Jul
dust28–130.0040%25 Jul
nuke15–15-0.0126%25 Jul
ancient3–13-0.0433%25 Jul
inferno13–50.0419%25 Jul
inferno13–40.0526%25 Jul
inferno8–130.0140%25 Jul
ancient13–80.0213%25 Jul
anubis8–130.0219%25 Jul
nuke13–100.0826%25 Jul
nuke13–20.1232%25 Jul
dust24–130.0634%25 Jul
anubis13–50.0221%24 Jul
dust213–5-0.0131%24 Jul
anubis13–8-0.0318%24 Jul
train0–13-0.160%23 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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