Godlike? — CS2 Stats

76561198100616017[U:1:140350289]✓ No bans

1,148Tracked matches47%Win rate2020Tracked since
1,966Hours in CS
CSDB Rating6.2 SolidHybrid Rifler
Premier CS Rating18,705Purple band · top ~13.7% of ranked players (population est.)
CSDB Leaderboard#18840 of 40557 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 rate49.8%44.2%47.1%above
Shot accuracy15.9%11.6%12.8%above
Kill/death ratio1.281.031.08above
Match win rate52.3%45.2%46.6%above

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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CSDB.GGGodlike?PREMIER18,705 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning50
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateWLWLLWLWLW

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

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

Aim8.8
Aggression5.2
Utility5.4
Positioning5.0
Opening Duels1.2
Clutch3.8

Sharp aimerEffective flashes

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 91% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower opening-duel success.

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 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 563ms 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

Aim8.8
Positioning5.0
Utility5.4
Mechanics8.2
Opening Duels1.4
Win Impact3.9

Composite 6.2/10 (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 rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time569ms−19ms
first ⅓ avg 589ms → last ⅓ avg 569ms
Headshot accuracy20.1%+1.3%
first ⅓ avg 18.8% → last ⅓ avg 20.1%

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.

Highlights

0.17Best rating — dust2 10–13
131Biggest win — anubis
10Longest win streak
46In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 64% over 22nukeWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A25151060%0.01
mirageA2214864%0.02
ancientB158753%0.03
cacheB115645%-0.00
infernoB105550%0.01
nukeC104640%0.00
anubisC73443%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,036Lifetime kills
1.28K/D · Top 25% of Purple band
4,182Matches
52.3%Match win rate · Top 10% of Purple band
49.8%Headshot % · Top 50% of Purple band
15.9%Shot accuracy · Top 25% of Purple band
12,055MVPs
1,966Hours (in match)
7,023Bombs planted
1,487Bombs defused

Most-used weapons

AK-4741,881
AWP11,391
P2506,939
SSG 082,547
FAMAS2,448
Tec-91,812

Lifetime map wins

18,249dust2
7,365inferno
3,142nuke
1,832train
1,192vertigo
902cbble
62office
27assault

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

Faceit stats

Combat

409Matches
55%Win rate
1.42Avg K/D
88.8ADR
44%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1136%1.0817.6
Ancient838%1.0415.1
Dust2560%1.0113.0
Mirage450%1.1821.0
Vertigo425%1.0618.3
Nuke475%1.1720.5
Anubis20%1.0016.5
Cache1100%1.3316.0

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.

21.3%Headshot accuracy
38.0%Accuracy (enemy spotted)
40.4%Spray accuracy
86.8%Counter-strafing
7.9°Preaim
563msReaction time
28.0%T opening success
41.2%CT opening success
0.72Enemies flashed / flash
6.1%Flash assists
7.30HE damage / grenade
5.58Flashes / 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

    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 28.0288% — 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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–100.0829%28 Aug
inferno9–13-0.0718%26 Aug
nuke13–60.0119%26 Aug
dust25–13-0.0516%26 Aug
nuke9–13-0.0330%26 Aug
cache13–4-0.0420%26 Aug
ancient8–130.0028%25 Aug
mirage13–60.0115%24 Aug
mirage10–13-0.0426%24 Aug
dust213–5-0.0213%24 Aug
dust213–90.0433%24 Aug
anubis8–130.0519%24 Aug
ancient13–50.0826%22 Aug
inferno9–130.0225%22 Aug
nuke3–13-0.0615%22 Aug
cache13–30.0813%22 Aug
dust213–100.0425%21 Aug
nuke6–130.0822%21 Aug
anubis9–130.0416%21 Aug
dust213–80.0318%21 Aug
ancient13–90.1021%21 Aug
mirage16–140.0323%20 Aug
mirage6–130.0418%20 Aug
ancient5–13-0.0114%20 Aug
mirage13–30.0023%20 Aug
nuke4–13-0.0130%20 Aug
dust210–13-0.0427%20 Aug
anubis8–13-0.019%19 Aug
mirage2–60.0423%19 Aug
dust213–70.0517%19 Aug
ancient13–70.029%19 Aug
nuke10–13-0.0115%19 Aug
mirage8–13-0.039%19 Aug
mirage10–130.0313%18 Aug
inferno8–13-0.0621%18 Aug
ancient10–130.0810%18 Aug
mirage9–1-0.0343%18 Aug
cache4–13-0.0831%18 Aug
mirage13–10-0.0110%14 Aug
anubis8–13-0.029%14 Aug
inferno13–7-0.0117%14 Aug
cache8–13-0.0511%14 Aug
mirage5–130.0218%14 Aug
nuke15–15-0.0221%14 Aug
dust211–13-0.0323%14 Aug
anubis13–100.0613%13 Aug
mirage13–3-0.0218%12 Aug
ancient13–6-0.0119%12 Aug
dust213–16-0.0525%12 Aug
mirage13–90.0422%12 Aug
cache13–20.0836%12 Aug
mirage13–7-0.0512%11 Aug
ancient13–40.0418%11 Aug
dust210–130.1727%11 Aug
cache6–130.0632%11 Aug
inferno13–90.1519%11 Aug
dust211–13-0.0522%11 Aug
mirage13–80.0022%11 Aug
dust211–13-0.0322%10 Aug
dust213–6-0.0223%10 Aug
cache16–14-0.0017%10 Aug
dust213–100.0222%6 Aug
ancient6–130.0335%6 Aug
ancient7–13-0.0313%5 Aug
dust27–13-0.0517%5 Aug
mirage13–8-0.0312%5 Aug
cache5–2-0.0038%4 Aug
dust213–40.0416%4 Aug
mirage13–80.0519%24 Jul
dust213–11-0.047%24 Jul
anubis13–8-0.0311%23 Jul
ancient13–80.0321%23 Jul
nuke13–20.0610%23 Jul
ancient13–11-0.0214%23 Jul
dust213–100.0020%22 Jul
cache15–150.0526%22 Jul
inferno13–70.0823%22 Jul
mirage13–30.0721%22 Jul
mirage13–60.0717%22 Jul
ancient10–130.0420%21 Jul
cache5–13-0.0512%21 Jul
mirage9–130.0619%21 Jul
dust213–70.0130%17 Jul
dust213–30.0120%17 Jul
nuke13–6-0.0315%17 Jul
dust27–13-0.0121%16 Jul
mirage14–160.0125%14 Jul
inferno7–13-0.0220%14 Jul
ancient11–13-0.0219%14 Jul
cache1–13-0.0826%14 Jul
inferno13–70.0618%10 Jul
mirage13–100.0713%2 May
dust211–130.0319%2 May
dust213–70.0514%25 Apr
inferno6–13-0.0313%6 Mar
dust213–70.0320%28 Oct
nuke13–70.0023%28 Oct
anubis13–1-0.0327%25 May
inferno13–8-0.0022%25 May
dust213–50.0721%24 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →