OLIVER LUND

OLIVER LUND — CS2 Stats

76561197997045164[U:1:36779436]Steam profile ↗✓ No bans

2,355Tracked matches67%Win rate2020Tracked since
CSDB Rating7.0 StrongAll-Rounder
FaceitLevel 10 · 2,113 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,113 → 2,113
+4Tracked matches · now 2,355
0.0ppWin rate · 66.7% → 66.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 65 days played since 22 Oct 2024. Come back after the next session and the change shows above.

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Rating over time

2,113Highest Faceit ELO seen on CSDB
65Days played since 2024-10-22

Faceit ELO

  • At peak — 2,113
  • Next: 2,500 ELO at 2,500 387 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-13
  • Level 9 first seen 2026-09-13

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGOLIVER LUNDFACEITLevel 10 · 2,113 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,113csdb.gg/stats

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Performance scores

Aim84
Positioning56
Utility56

0–100 skill scores via Leetify.

Recent form

HOT6337Last 10063%Win rateWLWWWLWWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +2.6pp headshot accuracy · −17ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 545ms

Last 10

  • 82 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 546ms

Last 20

  • 164 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 555ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim8.4
Utility5.6
Positioning5.6
Opening Duels5.1
Clutch4.2

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 94% playstyle similarity

Most alike: aim profile, 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

T-side openings. Opening success drops from 56% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.4
Positioning5.6
Utility5.6
Mechanics7.6
Opening Duels3.8
Win Impact10.0

Composite 7.0/10 (Strong), 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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time565ms−66ms
first ⅓ avg 631ms → last ⅓ avg 565ms
Headshot accuracy22.1%−0.2%
first ⅓ avg 22.3% → last ⅓ avg 22.1%

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, 24 Apr
41%Best headshot accuracy · 13–11 · mirage, 7 Feb
367msFastest reaction time · 9–13 · ancient, 30 Mar
13–0Biggest win · mirage, 30 Jan

Across the last 100 tracked matches.

Highlights

7Longest win streak
1310In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 79% over 14ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
nukeS2920969%0.00
dust2B23121152%-0.02
mirageS1411379%0.01
infernoS139469%-0.02
ancientC83538%-0.02
overpassB63350%-0.02
train43175%0.01
cache110100%0.03
anubis1010%-0.05
vertigo110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,808Matches
50%Win rate
0.92Avg K/D
70.7ADR
50%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage18947%0.9413.9
Nuke17860%1.0314.9
Dust216849%0.8913.9
Ancient16247%0.9414.5
Inferno12352%0.9814.6
Vertigo6450%0.9415.2
Overpass4959%0.8713.9
Train3863%1.0914.8

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.

22.8%Headshot accuracy
34.8%Accuracy (enemy spotted)
42.1%Spray accuracy
84.3%Counter-strafing
9.7°Preaim
547msReaction time
34.6%T opening success
56.1%CT opening success
0.62Enemies flashed / flash
12.3%Flash assists
8.63HE damage / grenade
5.20Flashes / 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 34.5507% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno19–160.0324%6 Sept
nuke5–13-0.0219%2 Sept
dust213–100.0534%25 Aug
dust213–4-0.0022%25 Aug
inferno13–11-0.0129%10 Aug
ancient23–25-0.0535%6 Aug
nuke13–100.0423%4 Aug
nuke19–15-0.0126%20 May
overpass13–11-0.0016%14 May
dust213–5-0.0420%14 May
dust213–8-0.0229%14 May
nuke13–40.1136%13 May
mirage8–130.0217%13 May
inferno13–9-0.0415%13 May
nuke13–40.0617%12 May
cache16–140.0320%12 May
ancient13–5-0.0515%12 May
mirage13–50.0327%9 May
dust211–13-0.0227%8 May
mirage13–90.0317%8 May
dust23–130.0021%29 Apr
nuke11–13-0.0223%29 Apr
nuke13–9-0.0416%27 Apr
nuke13–100.0717%27 Apr
ancient16–14-0.0220%11 Apr
ancient9–13-0.1019%30 Mar
nuke11–130.0127%19 Mar
dust27–13-0.087%13 Mar
ancient11–130.0127%13 Mar
mirage13–70.0122%11 Mar
mirage8–13-0.0416%9 Mar
nuke13–50.0120%9 Mar
overpass9–130.0326%1 Mar
overpass13–5-0.0221%1 Mar
anubis15–19-0.0523%15 Feb
inferno13–80.0315%15 Feb
nuke13–30.0326%14 Feb
dust29–13-0.0238%14 Feb
dust213–30.0723%13 Feb
mirage13–40.0221%13 Feb
dust25–13-0.1114%13 Feb
nuke10–13-0.0118%13 Feb
nuke14–16-0.0120%13 Feb
inferno13–5-0.0320%12 Feb
mirage13–11-0.0041%7 Feb
inferno11–13-0.0418%6 Feb
mirage13–00.1032%30 Jan
ancient13–90.0526%29 Jan
dust213–9-0.0239%29 Jan
dust216–13-0.0413%27 Jan
inferno7–13-0.0630%20 Jan
nuke13–9-0.0426%19 Jan
mirage13–7-0.0129%21 Dec
overpass13–8-0.057%8 Dec
nuke13–10-0.0430%8 Dec
nuke13–50.0525%8 Dec
nuke13–8-0.0110%30 Nov
dust29–13-0.0426%23 Nov
inferno13–11-0.0415%23 Nov
inferno13–110.0224%23 Nov
mirage13–8-0.0221%22 Nov
nuke11–13-0.0225%22 Nov
dust213–10.0615%22 Nov
train13–40.0331%21 Nov
nuke13–50.0015%21 Nov
nuke13–10.0610%21 Nov
nuke1–13-0.0621%21 Nov
mirage8–13-0.0422%10 Nov
overpass13–16-0.0220%10 Nov
inferno5–13-0.0621%10 Nov
dust29–13-0.0720%27 Oct
nuke13–11-0.0438%22 Oct
nuke13–70.0424%22 Oct
dust210–13-0.0522%17 Oct
train16–190.0327%15 Oct
dust213–11-0.0532%8 Oct
nuke13–80.0326%13 Sept
mirage13–10-0.0137%31 Aug
nuke13–110.0121%15 Aug
overpass7–13-0.0421%28 Jul
inferno16–130.0718%13 Jul
inferno13–10-0.064%10 Jul
train19–17-0.0311%8 Jul
mirage13–2-0.0316%7 May
dust213–8-0.0426%29 Apr
mirage13–40.1127%24 Apr
train13–60.0330%14 Apr
ancient11–130.0216%11 Apr
inferno8–13-0.0514%21 Mar
dust25–13-0.0511%20 Mar
nuke8–13-0.0317%18 Mar
nuke13–11-0.0115%13 Mar
dust220–22-0.0221%13 Mar
dust29–130.0433%18 Feb
dust213–5-0.0229%6 Feb
nuke16–130.0116%30 Jan
vertigo13–100.0325%30 Nov
dust213–11-0.0235%30 Nov
ancient8–13-0.0424%30 Nov
nuke3–13-0.0317%22 Oct

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →