Olbric

Olbric — CS2 Stats

DE76561198824736112[U:1:864470384]Steam profile ↗✓ No bans

1,031Tracked matches45%Win rate2021Tracked since
1,451Hours in CS1Hrs last 2 wks
CSDB Rating3.9 LearningPositional Player
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,031 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 7,061 -2,838 24 Nov – 16 Jan · 26 days played
7,06110,413peak 10,41324 Nov16 Jan
10,709Peak Premier in tracked matches
59Days played since 2025-11-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

No matches recorded between 26 Sep 2026 and 2 Oct 2026.

Measured 26 Sep 2026 → 2 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim43
Positioning45
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLLLWWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +0.3pp headshot accuracy · +19ms reaction

Win rate up 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 581ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 626ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 617ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim4.3
Utility2.6
Positioning4.5
Opening Duels2.6

Limited utility dependence

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 645ms 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

Aim4.3
Positioning4.5
Utility2.6
Mechanics5.5
Opening Duels1.6
Win Impact3.3

Composite 3.9/10 (Learning), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time648ms−49ms
first ⅓ avg 697ms → last ⅓ avg 648ms
Headshot accuracy16.8%−0.1%
first ⅓ avg 17.0% → last ⅓ avg 16.8%

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

0.35Best match rating · 9–2 · nuke, 27 Feb →
50%Best headshot accuracy · 3–13 · dust2, 15 Feb →
453msFastest reaction time · 6–13 · nuke, 5 Dec →
13–0Biggest win · dust2, 14 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
4–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 63% over 8ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeC2812–1643%-0.01
dust2A2112–957%-0.03
mirageA1911–858%-0.04
infernoD103–730%-0.02
vertigoA85–363%-0.01
ancientD51–420%-0.04
cache—20–20%-0.03
train—20–20%-0.04
overpass—21–150%-0.00
alpine—10–10%0.06
office—10–10%0.01
agency—11–0100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,898Lifetime kills
0.76K/D
3,533Matches
61.0%Match win rate · Top 5% of tracked players
42.2%Headshot %
13.2%Shot accuracy · Top 50% of tracked players
4,367MVPs
758Hours (in match)
1,231Bombs planted
313Bombs defused

Most-used weapons

AK-476,554
AWP2,025
P901,304
SSG 081,250
AUG1,197
MAC-101,001

Lifetime map wins

4,157nuke
2,027inferno
1,688vertigo
1,657dust2
1,054train
327office
142lake
96cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.8%Headshot accuracy
30.0%Accuracy (enemy spotted)
29.2%Spray accuracy
74.8%Counter-strafing
10.6°Preaim
645msReaction time
36.2%T opening success
36.9%CT opening success
0.42Enemies flashed / flash
2.0%Flash assists
10.57HE damage / grenade
2.79Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4156 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 36.1715% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0012%25 Sept →
cache4–13-0.104%28 Aug →
vertigo8–130.029%10 Aug →
mirage13–6-0.0515%5 Aug →
nuke13–70.062%1 Aug →
inferno16–130.0027%1 Aug →
nuke13–20.0729%30 Jul →
mirage13–6-0.0425%24 Jul →
nuke13–6-0.0023%23 Jul →
cache9–130.0318%11 May →
inferno13–11-0.019%5 Apr →
nuke7–13-0.0123%7 Mar →
mirage7–13-0.1113%7 Mar →
dust213–11-0.0410%1 Mar →
dust27–13-0.0519%28 Feb →
train12–12-0.0423%28 Feb →
nuke1–9-0.1422%27 Feb →
nuke9–20.3521%27 Feb →
alpine6–130.0616%23 Feb →
nuke9–13-0.077%18 Feb →
vertigo3–10-0.010%17 Feb →
office9–130.0118%16 Feb →
nuke5–13-0.0221%16 Feb →
dust213–8-0.060%16 Feb →
dust23–13-0.0450%15 Feb →
nuke13–50.0521%15 Feb →
dust213–00.0011%14 Feb →
nuke13–70.0331%14 Feb →
mirage13–40.0311%14 Feb →
dust29–13-0.0027%14 Feb →
nuke5–13-0.0616%13 Feb →
mirage9–13-0.0414%12 Feb →
mirage6–13-0.119%9 Feb →
mirage10–10.0035%9 Feb →
dust213–11-0.0617%6 Feb →
mirage16–13-0.0815%5 Feb →
nuke13–40.0318%1 Feb →
dust213–80.0217%1 Feb →
nuke13–3-0.0316%1 Feb →
nuke5–13-0.118%31 Jan →
mirage11–13-0.0315%30 Jan →
dust29–13-0.1111%16 Jan →
ancient8–13-0.1021%15 Jan →
dust213–6-0.078%13 Jan →
nuke13–7-0.0318%13 Jan →
mirage6–13-0.0422%12 Jan →
inferno11–13-0.0321%11 Jan →
inferno4–13-0.0320%10 Jan →
mirage13–100.0716%10 Jan →
inferno13–16-0.0212%10 Jan →
dust211–13-0.0818%10 Jan →
nuke12–12-0.0310%9 Jan →
mirage13–5-0.066%9 Jan →
ancient9–13-0.0610%8 Jan →
dust213–6-0.0212%7 Jan →
inferno10–13-0.0513%6 Jan →
dust213–40.0426%6 Jan →
vertigo13–8-0.0512%5 Jan →
inferno13–80.0419%5 Jan →
dust210–13-0.019%5 Jan →
mirage13–50.0122%5 Jan →
mirage7–13-0.0817%31 Dec →
mirage7–13-0.1010%30 Dec →
nuke5–13-0.0914%29 Dec →
overpass13–8-0.026%29 Dec →
mirage10–13-0.0313%26 Dec →
vertigo8–13-0.0416%18 Dec →
dust213–70.0127%17 Dec →
dust24–13-0.0626%17 Dec →
dust28–13-0.0113%14 Dec →
nuke13–10-0.0512%13 Dec →
vertigo7–2-0.0433%13 Dec →
nuke8–13-0.0527%11 Dec →
dust213–9-0.0514%11 Dec →
dust213–11-0.0429%8 Dec →
nuke15–15-0.0618%7 Dec →
dust213–30.0315%7 Dec →
vertigo13–10-0.046%5 Dec →
agency8–10.0625%5 Dec →
nuke6–130.0618%5 Dec →
mirage13–10-0.079%4 Dec →
nuke5–13-0.0618%4 Dec →
inferno9–13-0.0412%3 Dec →
nuke15–150.0214%3 Dec →
vertigo13–90.0716%1 Dec →
nuke13–70.0223%1 Dec →
nuke4–130.0423%1 Dec →
overpass10–130.0117%1 Dec →
nuke5–13-0.0421%29 Nov →
dust27–13-0.0717%29 Nov →
vertigo13–8-0.0111%29 Nov →
ancient6–13-0.089%29 Nov →
train6–13-0.037%28 Nov →
mirage13–5-0.0014%28 Nov →
inferno10–13-0.0615%27 Nov →
nuke13–7-0.0111%27 Nov →
ancient13–100.0111%25 Nov →
mirage13–8-0.0617%25 Nov →
inferno11–13-0.0418%24 Nov →
ancient14–160.0213%24 Nov →

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 →

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