olli67

olli67 — CS2 Stats

76561198287133744[U:1:326868016]Steam profile ↗

2,828Tracked matches37%Win rate2020Tracked since
4,754Hours in CS
CSDB Rating5.8 SolidAggressive Rifler
Premier CS Rating20,517Pink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#5547 of 13122 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band median
Headshot rate47.8%48.1%
Shot accuracy15.4%12.9%
Kill/death ratio1.011.08
Match win rate49.2%46.5%

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CSDB.GGolli67PREMIER20,517 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning52
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY46531Last 10046%Win rateLLWWLLWWWL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression6.9
Utility4.8
Positioning5.2
Opening Duels4.0
Clutch5.6

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 59% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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
Positioning5.2
Utility4.8
Mechanics6.7
Opening Duels4.0
Win Impact0.6

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time577ms−42ms
first ⅓ avg 619ms → last ⅓ avg 577ms
Headshot accuracy29.9%+2.1%
first ⅓ avg 27.8% → last ⅓ avg 29.9%

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.

Highlights

0.11Best rating — mirage 10–13
111Biggest win — vertigo
4Longest win streak
L2Current streak
1111In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 55% over 38anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA38211755%-0.00
vertigoC2281436%-0.00
dust2B126650%0.01
anubisD72529%-0.03
ancientD72529%-0.02
cache42250%-0.01
overpass21150%0.02
boulder21150%0.02
aztec1010%0.00
cbble_d110100%0.04
train110100%-0.01
nuke1010%0.02
inferno1010%0.00
fachwerk110100%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

230,958Lifetime kills
1.01K/D
10,600Matches
49.2%Match win rate · Top 25% of Pink band
47.8%Headshot %
15.4%Shot accuracy · Top 50% of Pink band
33,572MVPs
4,754Hours (in match)
5,858Bombs planted
3,376Bombs defused

Most-used weapons

AK-4781,284
AWP33,555
Knife4,971
FAMAS2,966
SG 5532,917

Lifetime map wins

12,667inferno
11,327dust2
8,928vertigo
4,713train
4,690nuke
1,174cbble
954lake
366office

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

Faceit stats

Combat

439Matches
56%Win rate
1.12Avg K/D
80.0ADR
56%Headshot %

Clutches & streaks

48%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage13160%1.1117.3
Ancient4055%0.9916.7
Dust23837%0.9415.9
Inferno2955%1.0514.5
Nuke2552%1.0016.4
Anubis2335%0.9314.3
Overpass922%0.9513.3
Vertigo425%0.8112.0

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.

29.7%Headshot accuracy
32.1%Accuracy (enemy spotted)
34.9%Spray accuracy
80.2%Counter-strafing
8.0°Preaim
573msReaction time
33.3%T opening success
58.6%CT opening success
0.63Enemies flashed / flash
7.2%Flash assists
10.66HE damage / grenade
8.38Flashes / 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 33.3495% — below the 40% mark we flag

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0535%27 Aug
mirage10–13-0.0610%27 Aug
mirage10–20.0223%27 Aug
mirage13–4-0.0013%27 Aug
vertigo14–16-0.0525%27 Aug
anubis8–13-0.0539%27 Aug
mirage25–220.0123%27 Aug
mirage13–50.0246%27 Aug
mirage13–80.0130%26 Aug
mirage5–13-0.0546%26 Aug
ancient15–19-0.0623%26 Aug
cache13–8-0.0821%26 Aug
mirage11–20.0324%26 Aug
vertigo13–40.0828%26 Aug
overpass11–130.0543%26 Aug
mirage11–13-0.0038%26 Aug
mirage9–130.0240%24 Aug
mirage8–13-0.0126%23 Aug
vertigo17–190.0533%23 Aug
vertigo6–13-0.0735%23 Aug
vertigo11–10.0428%23 Aug
anubis9–13-0.0335%22 Aug
mirage4–13-0.0624%22 Aug
aztec7–130.0015%22 Aug
cbble_d13–110.0431%22 Aug
mirage9–130.0141%22 Aug
ancient4–13-0.0335%22 Aug
vertigo5–13-0.1030%21 Aug
mirage10–13-0.0329%21 Aug
mirage13–50.0329%21 Aug
anubis13–16-0.0425%21 Aug
dust211–13-0.0335%21 Aug
vertigo13–110.0228%21 Aug
mirage13–110.0925%21 Aug
vertigo12–160.0022%20 Aug
mirage11–13-0.0330%20 Aug
mirage6–13-0.0728%20 Aug
dust213–70.0236%20 Aug
vertigo16–19-0.0121%19 Aug
mirage16–13-0.0332%19 Aug
overpass13–11-0.0125%16 Aug
dust213–160.0124%16 Aug
mirage13–70.0324%15 Aug
vertigo10–13-0.0232%15 Aug
train16–13-0.0136%15 Aug
nuke15–150.0231%15 Aug
mirage13–60.0439%15 Aug
anubis9–13-0.0520%14 Aug
vertigo7–13-0.0713%14 Aug
mirage9–13-0.0520%14 Aug
mirage8–00.0320%14 Aug
vertigo13–10-0.0330%14 Aug
anubis13–100.0549%14 Aug
mirage13–90.0721%11 Aug
ancient4–13-0.0639%11 Aug
mirage11–130.0027%10 Aug
vertigo13–70.0439%10 Aug
ancient13–70.0322%10 Aug
vertigo7–13-0.0550%9 Aug
cache9–13-0.0121%9 Aug
mirage5–13-0.0136%9 Aug
vertigo13–50.0632%9 Aug
vertigo14–16-0.0438%9 Aug
dust28–13-0.0632%9 Aug
dust28–130.0235%9 Aug
mirage13–8-0.0316%9 Aug
mirage13–8-0.0530%8 Aug
ancient7–13-0.0326%8 Aug
dust213–90.0226%8 Aug
vertigo13–50.0217%8 Aug
ancient4–13-0.0246%8 Aug
dust213–10-0.0329%8 Aug
dust213–11-0.0520%8 Aug
mirage13–7-0.0637%8 Aug
mirage13–9-0.0318%4 Aug
anubis5–13-0.0717%4 Aug
mirage10–130.1136%3 Aug
anubis13–11-0.0232%2 Aug
vertigo9–13-0.0517%2 Aug
mirage13–11-0.0329%2 Aug
vertigo8–13-0.0636%2 Aug
mirage5–13-0.0223%1 Aug
mirage11–13-0.0638%1 Aug
mirage13–40.0516%1 Aug
dust214–160.0736%31 Jul
cache5–130.0517%31 Jul
dust211–13-0.0543%31 Jul
dust216–140.0830%30 Jul
ancient13–70.0425%29 Jul
dust222–200.0728%28 Jul
inferno7–130.0027%28 Jul
mirage13–10-0.0025%28 Jul
vertigo13–110.0927%27 Jul
vertigo5–13-0.0134%27 Jul
mirage13–70.0229%25 Jul
boulder5–13-0.0231%24 Jul
fachwerk13–3-0.0019%24 Jul
boulder13–70.0635%24 Jul
vertigo10–130.0325%24 Jul
cache13–11-0.0026%22 Jul

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →