robotekk

robotekk — CS2 Stats

76561199114629726[U:1:1154363998]Steam profile ↗✓ No bans

222Tracked matches47%Win rate2021Tracked since
CSDB Rating3.3 LearningPositional Player
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Mar 2026 (207 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: 14,999 +835 24 Dec – 23 Mar · 17 days played
13,37717,759peak 17,75924 Dec23 Mar
17,759Peak Premier in tracked matches
29Days played since 2025-12-24

Premier CS Rating

  • 2,760 below peak (17,759)
  • -877 over 30 days · declining
  • +835 over 90 days
  • Next: Purple band at 15,000 — 1 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.GGrobotekkFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim22
Positioning56
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWWTLLTTWLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.2pp headshot accuracy · −118ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 8%
  • Avg reaction 525ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 537ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 597ms

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 against its own average).

Aim2.2
Utility4.0
Positioning5.6
Opening Duels4.1

Strong CT-side openerLimited 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

jL

Plays most like jL 54% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 58% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.2
Positioning5.6
Utility4.0
Mechanics2.4
Opening Duels3.5
Win Impact3.9

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time624ms−17ms
first ⅓ avg 641ms → last ⅓ avg 624ms
Headshot accuracy12.1%+2.3%
first ⅓ avg 9.8% → last ⅓ avg 12.1%

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

0.35Best match rating · 9–2 · nuke, 3 Aug →
32%Best headshot accuracy · 9–5 · nuke, 3 Aug →
391msFastest reaction time · 8–8 · nuke, 30 Sept →
13–2Biggest win · anubis, 22 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
7–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

vertigoBest map · 71% over 7dust2Weakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeA5128–2355%-0.00
dust2C135–838%-0.02
ancientS96–367%-0.01
vertigoS75–271%0.02
mirageC73–443%-0.00
anubisB63–350%-0.03
train—30–30%-0.06
overpass—20–20%-0.02
inferno—21–150%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

12.0%Headshot accuracy
30.0%Accuracy (enemy spotted)
34.6%Spray accuracy
60.6%Counter-strafing
13.3°Preaim
655msReaction time
28.9%T opening success
58.2%CT opening success
0.52Enemies flashed / flash
6.4%Flash assists
7.95HE damage / grenade
3.77Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2935° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.0042% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7664 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo9–20.0510%15 Oct →
nuke9–40.1913%15 Oct →
nuke8–80.066%13 Oct →
vertigo4–90.0610%13 Oct →
nuke1–9-0.190%12 Oct →
nuke8–8-0.0216%12 Oct →
nuke8–8-0.030%30 Sept →
nuke9–4-0.0211%30 Sept →
nuke3–9-0.1925%30 Sept →
nuke9–40.0725%30 Sept →
nuke6–9-0.075%30 Sept →
nuke9–50.0811%30 Sept →
nuke9–5-0.0217%30 Sept →
nuke2–9-0.2313%30 Sept →
nuke5–9-0.0117%29 Sept →
nuke9–30.084%29 Sept →
nuke7–9-0.070%29 Sept →
nuke7–9-0.0716%29 Sept →
nuke9–30.056%29 Sept →
vertigo9–40.1618%23 Sept →
nuke5–9-0.1319%22 Sept →
nuke9–50.0432%3 Aug →
nuke9–50.0212%3 Aug →
nuke8–80.0213%3 Aug →
nuke8–8-0.070%3 Aug →
vertigo9–7-0.087%3 Aug →
vertigo9–7-0.020%3 Aug →
nuke9–40.0225%3 Aug →
nuke9–30.1418%3 Aug →
nuke9–10.096%3 Aug →
vertigo9–40.0524%3 Aug →
nuke9–20.359%3 Aug →
nuke6–9-0.0714%3 Aug →
nuke7–90.009%2 Aug →
nuke16–14-0.005%23 Mar →
anubis13–11-0.0111%23 Mar →
nuke14–16-0.0728%27 Feb →
anubis5–13-0.066%24 Feb →
dust26–13-0.038%23 Feb →
nuke13–6-0.057%23 Feb →
nuke13–11-0.0516%23 Feb →
dust28–130.0016%23 Feb →
nuke10–13-0.0312%21 Feb →
mirage10–13-0.0210%20 Feb →
nuke10–13-0.0211%17 Feb →
ancient9–13-0.038%17 Feb →
dust27–13-0.059%15 Feb →
dust29–1-0.0117%13 Feb →
anubis11–13-0.0210%12 Feb →
ancient13–9-0.0613%12 Feb →
dust213–5-0.0211%8 Feb →
ancient13–70.0110%7 Feb →
mirage13–3-0.0213%7 Feb →
dust26–130.0026%7 Feb →
nuke11–13-0.029%7 Feb →
dust211–13-0.0213%7 Feb →
nuke13–70.028%7 Feb →
mirage16–130.0719%7 Feb →
nuke13–100.005%7 Feb →
mirage13–16-0.063%3 Feb →
overpass5–13-0.0516%3 Feb →
anubis13–80.0117%3 Feb →
inferno13–9-0.0217%3 Feb →
ancient7–130.017%2 Feb →
dust216–130.0311%2 Feb →
dust24–13-0.0114%2 Feb →
anubis8–13-0.0513%22 Jan →
nuke13–80.0420%22 Jan →
anubis13–2-0.0610%22 Jan →
dust212–16-0.0224%29 Dec →
nuke13–6-0.0319%29 Dec →
ancient16–130.036%29 Dec →
train0–5-0.100%29 Dec →
nuke13–40.108%29 Dec →
mirage13–80.028%29 Dec →
mirage11–13-0.028%29 Dec →
nuke13–40.036%29 Dec →
dust213–10-0.0620%29 Dec →
inferno10–13-0.0512%27 Dec →
nuke13–110.0210%27 Dec →
ancient13–80.0617%27 Dec →
dust214–16-0.0314%26 Dec →
ancient9–13-0.0913%26 Dec →
train11–13-0.054%26 Dec →
mirage9–130.0123%25 Dec →
nuke13–9-0.063%25 Dec →
ancient13–8-0.042%25 Dec →
dust213–10-0.030%25 Dec →
nuke8–13-0.0114%25 Dec →
ancient16–12-0.0317%25 Dec →
overpass10–130.027%25 Dec →
nuke9–3-0.007%25 Dec →
nuke3–9-0.226%25 Dec →
train8–13-0.0410%24 Dec →
vertigo7–9-0.077%24 Dec →
nuke9–40.040%24 Dec →
nuke9–20.213%24 Dec →
nuke8–8-0.0212%24 Dec →
nuke9–70.048%24 Dec →
nuke6–9-0.056%24 Dec →

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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