Leap Frog Laptop Looking Ahhh

Leap Frog Laptop Looking Ahhh — CS2 Stats

76561198041906009[U:1:81640281]Steam profile ↗✓ No bans

1,604Tracked matches47%Win rate2020Tracked since
2,701Hours in CS8Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
Premier CS Rating15,676Purple band · top ~25.7% of ranked players (population est.)
CSDB Leaderboard#16965 of 28032 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate38.1%44.1%47.2%9.1% short
Shot accuracy15.3%11.4%12.7%above
Kill/death ratio0.931.031.090.16 short
Match win rate44.1%45.2%46.6%2.5% short

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

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

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CSDB.GGLeap Frog Laptop Looking …PREMIER15,676 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning45
Utility45

0–100 skill scores via Leetify.

Recent form

COLD44533Last 10044%Win rateWLLLLWLWLL

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression4.9
Utility4.5
Positioning4.5
Opening Duels0.3
Clutch2.2

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 84% playstyle similarity

Most alike: opening-fight frequency, 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. 602ms 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

Aim6.4
Positioning4.5
Utility4.5
Mechanics7.0
Opening Duels0.3
Win Impact3.9

Composite 5.0/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time603ms−42ms
first ⅓ avg 645ms → last ⅓ avg 603ms
Headshot accuracy19.0%+3.0%
first ⅓ avg 16.0% → last ⅓ avg 19.0%

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

0.09Best rating — nuke 7–13
131Biggest win — nuke
3Longest win streak
77In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB23111248%-0.02
mirageB1910953%-0.02
infernoC1881044%-0.01
cacheC1771041%-0.02
ancientD102820%-0.04
anubisA53260%-0.01
dust2C52340%-0.03
overpass21150%-0.05
warden1010%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,895Lifetime kills
0.93K/D
3,550Matches
44.1%Match win rate
38.1%Headshot %
15.3%Shot accuracy · Top 25% of Purple band
6,977MVPs
1,770Hours (in match)
2,265Bombs planted
705Bombs defused

Most-used weapons

Lifetime map wins

10,312dust2
3,824inferno
2,074nuke
2,002vertigo
770train
176cbble
69bank
45lake

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

Faceit stats

Combat

435Matches
53%Win rate
0.82Avg K/D
71.2ADR
45%Headshot %

Clutches & streaks

31%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis10259%0.8813.8
Vertigo6055%0.7513.8
Mirage5244%0.7712.1
Inferno4156%0.8814.1
Nuke3959%0.8212.6
Ancient2544%0.7512.5
Dust21747%0.7111.7
Train956%0.9013.6

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.

18.3%Headshot accuracy
33.5%Accuracy (enemy spotted)
35.5%Spray accuracy
81.7%Counter-strafing
10.9°Preaim
602msReaction time
31.8%T opening success
30.9%CT opening success
0.43Enemies flashed / flash
2.3%Flash assists
8.14HE damage / grenade
8.33Flashes / 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 0.4346 — 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 31.7574% — 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 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–60.0120%29 Aug
anubis8–13-0.0131%29 Aug
mirage11–13-0.0120%29 Aug
cache8–13-0.0812%26 Aug
nuke7–130.0918%26 Aug
cache13–11-0.0218%18 Aug
inferno14–16-0.0216%16 Aug
cache16–130.0022%16 Aug
nuke10–13-0.0416%15 Aug
ancient9–13-0.0113%15 Aug
mirage11–13-0.0324%15 Aug
nuke13–20.0324%2 Aug
ancient12–16-0.0517%2 Aug
mirage5–13-0.0730%2 Aug
inferno13–90.0115%2 Aug
cache6–13-0.0110%2 Aug
mirage13–80.0215%1 Aug
inferno16–13-0.0218%31 Jul
mirage13–4-0.088%31 Jul
nuke7–13-0.0514%31 Jul
cache16–140.0119%30 Jul
ancient4–13-0.0715%29 Jul
mirage11–130.0515%28 Jul
cache13–100.0521%27 Jul
nuke13–10.0326%26 Jul
inferno8–13-0.0217%26 Jul
cache10–130.0014%26 Jul
nuke1–3-0.1225%26 Jul
inferno13–4-0.078%25 Jul
dust213–70.0536%25 Jul
mirage11–13-0.0127%24 Jul
inferno12–16-0.0426%23 Jul
nuke9–13-0.0219%23 Jul
inferno5–130.0114%19 Jul
nuke13–90.0130%19 Jul
mirage13–110.0319%18 Jul
nuke10–13-0.0410%18 Jul
anubis13–11-0.0517%13 Jul
cache16–14-0.0114%12 Jul
nuke15–15-0.0114%12 Jul
cache3–13-0.0613%9 Jul
ancient0–3-0.060%4 Jul
mirage13–10-0.0318%4 Jul
nuke2–130.0316%4 Jul
nuke13–10-0.0518%3 Jul
mirage9–13-0.0113%3 Jul
ancient13–10-0.0416%2 Jul
inferno8–13-0.0610%1 Jul
nuke9–13-0.0122%1 Jul
nuke13–110.0012%23 Jun
cache7–13-0.0514%22 Jun
ancient13–70.0318%20 Jun
dust22–13-0.0830%20 Jun
inferno13–90.0115%20 Jun
overpass13–8-0.0115%19 Jun
dust210–13-0.0111%19 Jun
inferno4–13-0.0214%19 Jun
nuke13–10-0.0429%19 Jun
nuke13–10-0.0814%19 Jun
mirage9–13-0.0221%12 Jun
ancient3–13-0.0018%27 May
mirage16–13-0.0218%27 May
dust213–6-0.0413%24 May
inferno13–2-0.0217%24 May
warden6–13-0.0816%24 May
cache8–13-0.0512%24 May
cache2–13-0.044%22 May
cache9–13-0.0216%22 May
ancient9–13-0.0431%20 May
mirage13–9-0.0224%20 May
anubis13–80.0115%30 Apr
nuke6–13-0.0322%30 Apr
cache9–13-0.0427%30 Apr
cache13–4-0.0219%28 Apr
cache13–50.0124%28 Apr
cache9–13-0.0214%28 Apr
nuke11–13-0.079%21 Apr
mirage13–6-0.0213%21 Apr
nuke7–13-0.0715%21 Apr
ancient0–13-0.0910%15 Apr
inferno13–9-0.017%15 Apr
anubis13–50.0217%14 Apr
nuke13–40.027%14 Apr
anubis10–13-0.048%14 Apr
nuke13–100.0115%13 Apr
inferno8–13-0.0512%13 Apr
ancient7–13-0.0514%7 Apr
mirage10–13-0.0715%7 Apr
inferno9–130.0419%6 Apr
nuke15–15-0.0312%4 Apr
inferno5–130.0519%4 Apr
mirage10–13-0.0325%4 Apr
overpass2–13-0.105%31 Mar
inferno13–100.0013%31 Mar
dust215–15-0.0521%29 Mar
mirage16–12-0.0212%29 Mar
inferno11–13-0.0017%29 Mar
mirage13–70.0023%27 Mar
nuke13–6-0.0723%26 Mar
inferno13–50.019%23 Mar

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 →