speckles — CS2 Stats

76561198996986320[U:1:1036720592]

481Tracked matches47%Win rate2021Tracked since
416Hours in CS
CSDB Rating3.0 Learning
Premier CS Rating2,856Grey band · top ~87.9% of ranked players (population est.)
CSDB Leaderboard#32815 of 42038 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate39.0%37.5%39.7%meets
Shot accuracy2.4%4.5%6.7%4.3% short
Kill/death ratio0.570.820.910.34 short
Match win rate33.4%39.1%42.1%8.7% short

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

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

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CSDB.GGspecklesPREMIER2,856 · Grey bandcsdb.gg/stats

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Performance scores

Aim25
Positioning49
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY38611Last 10038%Win rateWWLWWLLWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim2.5
Aggression4.8
Utility3.6
Positioning4.9
Opening Duels1.4
Clutch1.0

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 74% 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. 688ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim2.5
Positioning4.9
Utility3.6
Mechanics3.8
Opening Duels1.4
Win Impact3.9

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time687ms+21ms
first ⅓ avg 666ms → last ⅓ avg 687ms
Headshot accuracy14.3%−2.1%
first ⅓ avg 16.4% → last ⅓ avg 14.3%

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

0.08Best rating — train 10–13
131Biggest win — dust2
4Longest win streak
W2Current streak
66In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 50% over 6ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C32122038%-0.02
mirageC31112035%-0.05
nukeC167944%-0.02
infernoB63350%-0.06
ancientD51420%-0.04
anubisC52340%-0.06
overpass220100%-0.04
train2020%0.02
cache1010%-0.07

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

9,432Lifetime kills
0.57K/D
782Matches
33.4%Match win rate
39.0%Headshot % · Top 50% of Grey band
2.4%Shot accuracy
891MVPs
416Hours (in match)
582Bombs planted
91Bombs defused

Most-used weapons

Lifetime map wins

1,848dust2
669nuke
531vertigo
387inferno
136train
36office
7ar_shoots
7ar_baggage

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

Faceit stats

Combat

9Matches
44%Win rate
0.69Avg K/D
57.4ADR
37%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%0.448.0
Train250%1.149.5
Nuke250%0.6810.0
Dust21100%0.8214.0
Overpass10%0.477.0

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.

15.3%Headshot accuracy
27.4%Accuracy (enemy spotted)
21.8%Spray accuracy
67.1%Counter-strafing
9.6°Preaim
688msReaction time
29.4%T opening success
41.5%CT opening success
0.50Enemies flashed / flash
2.3%Flash assists
10.65HE damage / grenade
7.16Flashes / 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 0.4996 — 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 29.4379% — 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 & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass13–8-0.0623%15 May
mirage13–8-0.0524%15 May
dust29–13-0.0419%12 May
dust216–13-0.0624%8 May
nuke13–100.0311%8 May
cache9–13-0.0719%1 May
dust210–130.065%1 May
nuke13–11-0.0217%1 May
dust213–40.019%1 May
dust27–13-0.0124%27 Apr
nuke11–13-0.0410%26 Apr
inferno13–3-0.0110%26 Apr
ancient10–13-0.0824%25 Apr
dust28–13-0.056%25 Apr
mirage13–4-0.0413%29 Mar
inferno4–13-0.0815%29 Mar
dust213–11-0.0213%27 Mar
mirage4–13-0.005%22 Mar
nuke10–130.0024%20 Mar
mirage13–8-0.009%20 Mar
dust210–130.0016%14 Mar
nuke2–13-0.1012%14 Mar
anubis13–7-0.0618%14 Mar
dust213–16-0.0427%13 Mar
mirage13–9-0.048%12 Mar
dust29–13-0.0416%12 Mar
mirage13–16-0.0410%10 Mar
mirage13–10-0.0612%9 Mar
nuke6–13-0.018%9 Mar
mirage13–9-0.0416%6 Mar
dust211–13-0.098%4 Mar
dust212–10-0.030%3 Mar
dust211–13-0.0617%28 Feb
mirage9–13-0.0811%25 Feb
inferno13–7-0.0212%24 Feb
overpass13–10-0.0212%24 Feb
mirage10–13-0.127%24 Feb
mirage15–15-0.0216%15 Feb
mirage6–13-0.0612%15 Feb
mirage6–13-0.1212%15 Feb
mirage6–13-0.0414%15 Feb
dust213–6-0.0120%14 Feb
mirage9–13-0.0511%11 Feb
dust213–30.0212%11 Feb
mirage16–12-0.0318%10 Feb
nuke13–8-0.0116%10 Feb
dust27–13-0.1214%8 Feb
mirage14–16-0.0614%8 Feb
anubis2–13-0.0716%31 Jan
nuke5–13-0.0311%29 Jan
anubis6–13-0.0520%29 Jan
nuke7–130.0212%29 Jan
dust213–6-0.0415%29 Jan
anubis13–7-0.0214%25 Jan
inferno3–13-0.105%25 Jan
mirage13–11-0.0622%28 Dec
nuke7–13-0.0813%19 Dec
mirage10–13-0.0811%16 Dec
inferno8–13-0.0529%16 Dec
dust23–13-0.068%9 Dec
nuke13–11-0.0518%29 Nov
dust213–5-0.0139%29 Nov
mirage4–13-0.0419%16 Nov
mirage13–6-0.049%16 Nov
dust210–13-0.0217%16 Nov
mirage8–13-0.0518%11 Nov
mirage6–130.0320%11 Nov
mirage6–13-0.0719%10 Nov
dust29–13-0.1111%10 Nov
dust28–13-0.0914%9 Nov
dust213–30.0833%9 Nov
nuke9–13-0.0225%7 Nov
dust213–160.0527%7 Nov
dust210–13-0.0011%4 Nov
mirage4–13-0.1211%3 Nov
nuke10–13-0.0813%1 Nov
mirage6–13-0.103%29 Oct
dust213–10.0420%29 Oct
dust211–130.0213%27 Oct
train10–130.0815%26 Oct
mirage13–3-0.0510%26 Oct
ancient8–13-0.058%26 Oct
dust213–9-0.0015%26 Oct
train9–13-0.0520%26 Oct
dust213–160.0013%25 Oct
ancient13–60.0420%25 Oct
ancient5–13-0.0218%25 Oct
nuke13–40.0520%25 Oct
dust29–13-0.0610%25 Oct
inferno13–11-0.0915%24 Oct
mirage13–4-0.058%24 Oct
dust213–10-0.0133%24 Oct
nuke16–120.0322%23 Oct
mirage8–13-0.067%23 Oct
ancient7–13-0.0713%22 Oct
mirage5–13-0.0715%21 Oct
mirage11–13-0.0314%20 Oct
dust26–13-0.0419%16 Oct
anubis0–9-0.1125%16 Oct
nuke13–1-0.0321%14 Oct

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 →