Olle

Olle — CS2 Stats

76561199121614251[U:1:1161348523]Steam profile ↗✓ No bans

297Tracked matches63%Win rate2023Tracked since
CSDB Rating6.9 SolidSupport
Premier CS Rating16,597Purple band · top ~22% of ranked players (population est.)
FaceitLevel 9 · 1,100 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (16 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: 16,597 -965 2 Nov – 11 Oct · 18 days played
14,82717,562peak 17,5622 Nov11 Oct
17,562Peak Premier in tracked matches
1,100Highest Faceit ELO seen on CSDB
61Days played since 2025-11-02

Faceit ELO

  • At peak — 1,100
  • Next: Level 6 at 1,201 — 101 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 965 below peak (17,562)
  • Next: Pink band at 20,000 — 3,403 to go
  • Reached: 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.

Share this profile

CSDB.GGOlleFACEITLevel 9 · 1,100 ELOSTANDINGTop 20.7% of rankedPREMIER16,597 · Purple bandPEAK ELO1,100csdb.gg/stats

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Performance scores

Aim85
Positioning61
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLWLLWWLLWW

Last 10 vs previous 10: −10pp win rate · −0.06 avg rating · −3.4pp headshot accuracy · −20ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 464ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 477ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 487ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim8.5
Utility7.0
Positioning6.1
Opening Duels2.5
Clutch5.0

Sharp aimer

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

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

CT openings. Opening success drops from 58% on T to 39% on CT — first contacts on the defending side are being lost.

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

Aim8.5
Positioning6.1
Utility7.0
Mechanics4.8
Opening Duels4.6
Win Impact9.4

Composite 6.9/10 (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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time477ms−85ms
first ⅓ avg 562ms → last ⅓ avg 477ms
Headshot accuracy23.0%+1.9%
first ⅓ avg 21.0% → last ⅓ avg 23.0%

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

0.16Best match rating · 13–1 · inferno, 25 Jul →
60%Best headshot accuracy · 4–13 · nuke, 2 Jan →
328msFastest reaction time · 13–5 · ancient, 23 Sept →
13–1Biggest win · ancient, 30 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 75% over 20mirageWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
ancientA2214–864%0.04
infernoS2015–575%0.03
mirageD165–1131%0.00
dust2C156–940%0.02
anubisB105–550%0.03
nukeB84–450%0.03
cacheC52–340%0.07
overpass—32–167%0.04
train—10–10%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

238Matches
54%Win rate
1.32Avg K/D
85.6ADR
48%Headshot %

Clutches & streaks

45%1v1 clutch win
31%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5246%1.2717.1
Dust25263%1.2717.1
Ancient3746%1.3018.5
Inferno3465%1.6919.0
Anubis3152%1.1718.1
Nuke1644%1.1014.9
Vertigo580%1.5717.0
Overpass580%1.3818.0

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.

22.4%Headshot accuracy
37.1%Accuracy (enemy spotted)
39.0%Spray accuracy
71.5%Counter-strafing
8.3°Preaim
477msReaction time
57.5%T opening success
39.2%CT opening success
0.64Enemies flashed / flash
7.9%Flash assists
11.11HE damage / grenade
16.50Flashes / 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

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

    CT opening duels 39.1507% — below the 40% mark we flag

Spend your practice time on Mirage

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0418%20 Oct →
inferno13–10-0.0419%17 Oct →
mirage9–13-0.0418%13 Oct →
anubis8–130.0115%12 Oct →
dust216–14-0.0026%11 Oct →
anubis13–60.0215%11 Oct →
ancient6–13-0.0217%11 Oct →
nuke3–130.0220%11 Oct →
inferno13–70.0328%11 Oct →
dust213–110.0318%11 Oct →
ancient7–130.0821%9 Oct →
cache8–130.0318%9 Oct →
ancient13–100.0418%9 Oct →
mirage13–90.0630%8 Oct →
anubis13–70.0318%7 Oct →
ancient6–130.0235%6 Oct →
mirage3–130.0117%2 Oct →
ancient13–70.0733%2 Oct →
nuke13–110.0924%2 Oct →
cache16–140.1016%30 Sept →
ancient13–10.0720%30 Sept →
nuke13–30.0426%24 Sept →
dust27–13-0.0143%24 Sept →
cache13–100.1521%23 Sept →
ancient13–50.0712%23 Sept →
inferno10–13-0.0126%23 Sept →
dust213–80.0831%23 Sept →
ancient13–50.1130%23 Sept →
ancient13–80.0819%23 Sept →
dust213–6-0.0123%23 Sept →
ancient10–130.0327%21 Sept →
ancient13–10.1524%21 Sept →
cache14–160.1433%21 Sept →
ancient11–130.0214%15 Sept →
anubis11–130.0119%4 Sept →
mirage10–13-0.0433%30 Aug →
anubis13–110.0317%14 Aug →
mirage3–130.0324%14 Aug →
mirage8–13-0.0629%13 Aug →
dust26–13-0.0222%10 Aug →
inferno13–50.0830%8 Aug →
anubis13–90.0235%7 Aug →
ancient13–50.1131%7 Aug →
inferno13–7-0.0126%6 Aug →
inferno13–60.0632%6 Aug →
anubis13–90.0828%6 Aug →
inferno13–10.1632%25 Jul →
mirage13–16-0.0236%23 Jul →
mirage13–80.0727%23 Jul →
ancient16–13-0.0422%21 Jun →
ancient13–80.0822%21 Jun →
mirage1–13-0.067%15 Jun →
mirage6–13-0.0027%8 Jun →
mirage16–120.0821%4 Jun →
dust213–60.0622%3 Jun →
dust25–130.1425%1 Jun →
mirage13–7-0.0213%27 May →
dust25–130.0525%27 May →
anubis7–130.0322%26 May →
ancient14–160.0328%23 May →
ancient16–12-0.0121%21 May →
inferno13–70.0126%14 May →
anubis8–13-0.0238%12 May →
inferno7–13-0.0314%12 May →
ancient13–8-0.0015%5 May →
overpass13–110.0627%29 Apr →
inferno7–12-0.0329%18 Apr →
ancient8–130.0126%21 Mar →
nuke10–13-0.0216%20 Mar →
inferno13–40.0535%20 Mar →
inferno13–110.1016%17 Mar →
mirage10–13-0.0219%16 Mar →
dust20–13-0.0722%12 Mar →
inferno12–16-0.0324%11 Mar →
dust28–130.0731%9 Mar →
ancient15–150.0216%9 Feb →
inferno13–70.1036%9 Feb →
mirage16–140.0115%8 Feb →
inferno6–13-0.0135%7 Feb →
inferno13–70.137%7 Feb →
dust213–30.0216%7 Feb →
ancient13–110.0833%7 Feb →
dust26–13-0.0214%7 Feb →
inferno13–110.0922%2 Feb →
nuke13–50.1416%2 Feb →
mirage6–130.0411%29 Jan →
nuke13–20.0512%29 Jan →
anubis11–130.0825%28 Jan →
inferno13–90.0511%28 Jan →
nuke11–130.0218%28 Jan →
mirage1–12-0.0322%26 Jan →
inferno13–7-0.0613%15 Jan →
overpass13–5-0.0212%5 Jan →
overpass11–130.0713%5 Jan →
nuke4–13-0.1060%2 Jan →
dust210–130.0223%12 Dec →
dust24–13-0.0920%11 Dec →
ancient13–11-0.0116%11 Dec →
inferno16–130.0522%9 Dec →
train11–13-0.0017%2 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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