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groovy

groovy — CS2 Stats

US76561198171910697[U:1:211644969]Steam profile ↗

373Tracked matches61%Win rate2021Tracked since
215Hours in CS
CSDB Rating3.8 Learning
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 medianLevel 4 medianvs Level 4
Headshot rate45.0%42.1%42.5%above
Shot accuracy5.5%12.1%10.9%5.3% short
Kill/death ratio0.540.990.990.46 short
Match win rate39.2%43.9%44.2%5.0% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGgroovyFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim29
Positioning34
Utility22

0–100 skill scores via Leetify.

Recent form

STEADY45–48–7Last 10045%Win rateLWWLWLWWLW

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

Player DNA

Aim2.9
Aggression1.8
Utility2.2
Positioning3.4
Opening Duels0.0

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

NiKo

Plays most like NiKo 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 662ms 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

Aim2.9
Positioning3.4
Utility2.2
Mechanics6.8
Opening Duels0.0
Win Impact8.6

Composite 3.8/10 (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-0.06−0.03
first ⅓ avg -0.03 → last ⅓ avg -0.06
Reaction time658ms−18ms
first ⅓ avg 676ms → last ⅓ avg 658ms
Headshot accuracy14.4%−0.4%
first ⅓ avg 14.8% → last ⅓ avg 14.4%

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

0.05Best rating — nuke 10–13
13–2Biggest win — nuke
5Longest win streak
2–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 52% over 27nukeWeakest map · 35% over 23
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%-0.04
nukeC238–1535%-0.04
infernoC219–1243%-0.07
dust2B126–650%-0.04
anubisC52–340%-0.04
overpass—43–175%-0.05
ancient—32–167%-0.07
vertigo—21–150%-0.05
jura—10–10%-0.11
grail—10–10%-0.13
agency—10–10%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,127Lifetime kills
0.54K/D
709Matches
39.2%Match win rate
45.0%Headshot % · Top 50% of Level 3 players
5.5%Shot accuracy
503MVPs
215Hours (in match)
532Bombs planted
87Bombs defused

Most-used weapons

M4A4 / M4A1-S1,619
Galil AR1,010
MP7686
AK-47637
P2000 / USP-S374
P90329
Glock-18282
Desert Eagle189
FAMAS138
AUG112

Lifetime map wins

857nuke
819inferno
657vertigo
607dust2
164train
111lake
65cbble
49office

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

Faceit stats

Combat

16Matches
38%Win rate
0.28Avg K/D
—ADR
40%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke20%0.5911.0
Mirage1100%0.336.0
Inferno1100%0.507.0
Vertigo1100%0.224.0
Anubis10%0.406.0

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.

14.0%Headshot accuracy
26.2%Accuracy (enemy spotted)
24.0%Spray accuracy
80.5%Counter-strafing
11.7°Preaim
662msReaction time
23.2%T opening success
19.5%CT opening success
0.36Enemies flashed / flash
1.9%Flash assists
4.56HE damage / grenade
3.85Flashes / 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. 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 13.9876% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3581 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 23.1848% — below the 40% mark we flag

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.

35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0814%19 Jul →
ancient13–5-0.0618%18 Jul →
mirage13–10-0.0711%14 Feb →
inferno10–13-0.0429%3 Feb →
mirage13–3-0.0415%2 Feb →
inferno4–13-0.1213%24 Jan →
mirage16–13-0.103%24 Jan →
inferno13–8-0.0518%24 Jan →
inferno11–13-0.0413%23 Jan →
anubis13–8-0.088%23 Jan →
nuke8–13-0.0519%23 Jan →
dust29–130.0310%8 Dec →
nuke2–13-0.1014%7 Dec →
mirage12–12-0.0314%7 Dec →
overpass13–9-0.0028%18 Nov →
dust24–13-0.0610%16 Nov →
inferno13–9-0.0613%30 Oct →
mirage6–13-0.0818%27 Oct →
inferno13–9-0.0719%4 Oct →
nuke13–2-0.0323%4 Oct →
nuke13–8-0.026%2 Oct →
ancient13–6-0.0814%1 Oct →
nuke12–12-0.097%21 Sept →
mirage13–9-0.0221%21 Sept →
overpass13–9-0.0418%10 Aug →
nuke13–5-0.0210%10 Aug →
overpass13–6-0.088%10 Aug →
dust210–1-0.080%3 Aug →
inferno5–9-0.218%3 Aug →
nuke7–13-0.0812%2 Aug →
inferno4–13-0.1012%29 Jun →
mirage13–7-0.0224%29 Jun →
mirage13–10-0.0827%24 Jun →
anubis6–13-0.0716%24 Jun →
dust29–13-0.103%24 Jun →
anubis6–13-0.0412%24 Jun →
dust213–9-0.0226%24 Jun →
mirage5–13-0.0616%11 Jun →
nuke13–10-0.0218%7 Jun →
nuke13–3-0.0111%24 May →
dust213–5-0.059%23 May →
jura3–13-0.1121%10 May →
grail4–13-0.139%10 May →
agency6–13-0.0223%10 May →
nuke7–13-0.0419%4 May →
dust29–13-0.0115%17 Apr →
inferno12–12-0.1012%6 Apr →
inferno13–11-0.0914%1 Apr →
nuke3–13-0.100%31 Mar →
nuke13–4-0.0215%31 Mar →
dust213–4-0.0115%25 Mar →
nuke4–9-0.0716%23 Mar →
inferno13–7-0.0638%23 Mar →
mirage11–130.0020%13 Mar →
mirage13–7-0.0425%5 Mar →
nuke6–13-0.0314%5 Mar →
nuke9–13-0.0318%4 Mar →
nuke12–12-0.0513%4 Mar →
dust25–13-0.0916%1 Mar →
inferno10–13-0.1013%1 Mar →
nuke5–130.0118%1 Mar →
overpass4–13-0.0812%24 Feb →
mirage13–6-0.0619%24 Feb →
mirage12–12-0.0419%23 Feb →
mirage9–13-0.0714%17 Feb →
mirage13–6-0.069%17 Feb →
inferno11–13-0.0723%16 Feb →
inferno13–9-0.0216%16 Feb →
mirage13–40.0136%16 Feb →
mirage4–13-0.0717%16 Feb →
mirage4–13-0.0819%16 Feb →
nuke13–11-0.0319%16 Feb →
nuke7–13-0.0911%16 Feb →
mirage13–7-0.0115%15 Feb →
vertigo7–13-0.077%15 Feb →
dust213–8-0.0917%15 Feb →
inferno0–13-0.0913%15 Feb →
dust213–70.0213%15 Feb →
anubis7–13-0.0120%13 Feb →
inferno13–50.0112%13 Feb →
nuke6–13-0.0214%11 Feb →
mirage14–16-0.0121%11 Feb →
inferno13–80.0517%10 Feb →
nuke10–130.0521%10 Feb →
mirage13–3-0.0013%10 Feb →
mirage9–13-0.0217%9 Feb →
dust215–150.0316%9 Feb →
inferno12–5-0.0915%9 Feb →
mirage11–13-0.078%9 Feb →
mirage11–13-0.0810%9 Feb →
inferno11–13-0.0615%9 Feb →
vertigo13–7-0.038%9 Feb →
mirage13–60.014%9 Feb →
mirage8–130.019%8 Feb →
anubis13–40.0113%8 Feb →
mirage13–6-0.1111%8 Feb →
ancient10–13-0.0710%7 Feb →
nuke4–130.0030%7 Feb →
nuke16–13-0.065%6 Feb →
inferno15–15-0.0519%6 Feb →

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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