Robin lasteaed

Robin lasteaed — CS2 Stats

EE76561198273861307[U:1:313595579]Steam profile ↗✓ No bans

478Tracked matches39%Win rate2020Tracked since
2,400Hours in CS24Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating18,635Top 50% of 211,827 CSDB-tracked playersPurple band · top ~13.9% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (yesterday). 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: 18,635 +1,169 15 Sept – 29 Oct · 18 days played
17,46622,128peak 22,12815 Sept29 Oct
22,510Peak Premier in tracked matches
42Days played since 2024-09-15

Premier CS Rating

  • 3,493 below peak (22,128)
  • -2,901 over 90 days
  • Next: Pink band at 20,000 — 1,365 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-13
  • Blue band first seen 2026-09-13

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

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate39.7%44.8%45.7%5.9% short
Shot accuracy20.4%12.4%12.7%above
Kill/death ratio1.381.031.05above
Match win rate47.7%45.2%45.7%above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRobin lasteaedFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER18,635 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim85
Positioning59
Utility60

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateWLWLLLLLWL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −0.8pp headshot accuracy · +16ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 550ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 588ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 580ms

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 against its own average).

Aim8.5
Utility6.0
Positioning5.9
Opening Duels4.5
Clutch3.6

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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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 57% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 551ms 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

Aim8.5
Positioning5.9
Utility6.0
Mechanics8.0
Opening Duels4.7
Win Impact1.4

Composite 6.4/10 (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 rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time553ms+7ms
first ⅓ avg 546ms → last ⅓ avg 553ms
Headshot accuracy16.2%−5.7%
first ⅓ avg 21.8% → last ⅓ avg 16.2%

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

0.18Best match rating · 13–1 · ancient, 6 Oct →
49%Best headshot accuracy · 13–5 · mirage, 22 Jul →
406msFastest reaction time · 16–13 · inferno, 10 Aug →
13–1Biggest win · mirage, 11 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

ancientBest map · 67% over 6nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB199–1047%0.02
anubisB137–654%-0.01
cacheB136–746%0.01
dust2B126–650%0.02
nukeD92–722%0.02
infernoD93–633%-0.01
trainB63–350%0.02
vertigoB63–350%-0.01
ancientS64–267%0.03
overpass—43–175%0.02
italy—21–150%0.02
edin—10–10%0.17

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,086Lifetime kills
1.38K/D · Top 10% of Level 6 players
3,229Matches
47.7%Match win rate · Top 50% of Level 6 players
39.7%Headshot %
20.4%Shot accuracy · Top 5% of Level 6 players
10,403MVPs
1,322Hours (in match)
3,266Bombs planted
760Bombs defused

Most-used weapons

AK-4720,781
AWP11,568
P2501,419
FAMAS1,336
Knife1,254

Lifetime map wins

4,455dust2
4,136inferno
1,750nuke
1,525vertigo
1,336train
818office
293lake
165bank

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

Faceit stats

Combat

241Matches
53%Win rate
1.24Avg K/D
84.8ADR
44%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3152%1.2017.9
Dust21644%1.2415.5
Nuke1233%1.2015.5
Cache1050%1.0314.0
Inferno933%1.0118.0
Anubis850%0.9216.4
Vertigo743%1.2920.9
Ancient683%1.1016.3

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.

16.8%Headshot accuracy
38.9%Accuracy (enemy spotted)
38.3%Spray accuracy
85.9%Counter-strafing
7.8°Preaim
551msReaction time
56.6%T opening success
41.1%CT opening success
0.58Enemies flashed / flash
8.5%Flash assists
13.50HE damage / grenade
12.37Flashes / match

Recommended for you

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–20.1016%29 Oct →
mirage2–13-0.0010%29 Oct →
anubis13–9-0.0411%16 Oct →
nuke7–13-0.0813%3 Oct →
cache6–13-0.045%18 Sept →
cache10–130.0616%18 Sept →
mirage7–130.1029%18 Sept →
cache11–130.0117%13 Sept →
anubis9–9-0.0429%12 Sept →
overpass4–130.0226%12 Sept →
inferno4–13-0.058%12 Sept →
cache13–11-0.0120%12 Sept →
anubis13–100.0022%26 Aug →
dust210–130.0419%25 Aug →
mirage13–50.0514%23 Aug →
nuke10–130.0120%23 Aug →
train3–13-0.0723%20 Aug →
mirage13–9-0.0423%20 Aug →
dust213–8-0.0417%20 Aug →
mirage5–130.0113%19 Aug →
anubis15–150.0114%16 Aug →
mirage11–130.0121%16 Aug →
cache15–15-0.0118%15 Aug →
mirage13–100.0114%15 Aug →
inferno8–13-0.039%15 Aug →
overpass13–90.0725%14 Aug →
vertigo13–8-0.0414%14 Aug →
anubis9–13-0.046%14 Aug →
mirage5–130.0116%14 Aug →
inferno5–13-0.0518%11 Aug →
dust28–13-0.079%11 Aug →
mirage13–1-0.030%11 Aug →
nuke11–13-0.0220%11 Aug →
vertigo13–30.0114%10 Aug →
dust28–13-0.0329%10 Aug →
cache13–16-0.0210%10 Aug →
inferno16–130.0312%10 Aug →
mirage8–13-0.0530%9 Aug →
cache13–9-0.0126%9 Aug →
cache13–80.0218%9 Aug →
dust211–13-0.0221%9 Aug →
italy12–120.0425%2 Aug →
vertigo13–7-0.0222%2 Aug →
inferno7–130.0138%2 Aug →
anubis13–70.0239%2 Aug →
mirage13–10.0331%2 Aug →
dust213–11-0.0510%2 Aug →
cache13–20.0819%2 Aug →
anubis13–80.1324%2 Aug →
cache4–13-0.0321%2 Aug →
inferno13–11-0.0624%2 Aug →
inferno9–13-0.0231%2 Aug →
cache5–13-0.0318%2 Aug →
ancient15–15-0.0024%1 Aug →
mirage11–130.0221%31 Jul →
nuke13–80.0124%31 Jul →
overpass13–90.0623%23 Jul →
cache13–50.0418%23 Jul →
train9–130.1234%22 Jul →
mirage13–50.0649%22 Jul →
cache13–70.0424%22 Jul →
dust213–20.1439%22 Jul →
anubis8–130.0115%21 Jul →
inferno13–30.0720%21 Jul →
nuke8–130.0538%21 Jul →
mirage8–13-0.0224%21 Jul →
dust213–60.0925%19 Jul →
dust210–13-0.0413%18 Jul →
mirage16–14-0.0230%18 Jul →
nuke13–40.0931%17 Jul →
anubis13–9-0.0013%17 Jul →
ancient6–13-0.0312%31 May →
inferno5–13-0.008%24 Dec →
mirage13–50.1429%6 Dec →
nuke9–130.0615%6 Dec →
nuke8–13-0.0218%3 Dec →
vertigo6–130.0823%2 Dec →
nuke3–130.0524%28 Nov →
train13–9-0.0422%14 Nov →
ancient13–7-0.0518%19 Oct →
train13–70.0221%19 Oct →
overpass13–11-0.0621%19 Oct →
dust210–130.1033%31 Jan →
edin5–110.1723%14 Nov →
train13–60.0839%14 Nov →
train1–13-0.0342%14 Nov →
anubis13–6-0.0521%6 Oct →
ancient13–10.1837%6 Oct →
italy13–50.0116%3 Oct →
vertigo10–13-0.0213%3 Oct →
dust213–80.0919%30 Sept →
anubis8–13-0.0414%29 Sept →
mirage9–130.0525%29 Sept →
anubis6–13-0.0818%27 Sept →
ancient13–50.0126%27 Sept →
dust213–70.0118%27 Sept →
mirage11–130.0210%15 Sept →
ancient13–90.079%15 Sept →
vertigo7–13-0.0521%15 Sept →
anubis7–13-0.0237%15 Sept →

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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