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ℍ. ℝ𝔸𝕄𝕀ℝ𝔼℀

ℍ. ℝ𝔸𝕄𝕀ℝ𝔼℀ β€” CS2 Stats

US76561197978713221[U:1:18447493]Steam profile β†—βœ“ No bans

1,024Tracked matches28%Win rate2021Tracked since
4,380Hours in CS60Hrs last 2 wks
CSDB Rating3.8 Learning
Premier CS Rating16,772Purple band Β· top ~21.3% of ranked players (population est.)
CSDB Leaderboard#23929 of 43938 tracked
WingmanGold Nova II
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 β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate41.5%44.2%47.1%5.6% short
Shot accuracy11.8%11.6%12.8%1.0% short
Kill/death ratio0.851.031.080.24 short
Match win rate38.8%45.2%46.6%7.8% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGℍ. ℝ𝔸𝕄𝕀ℝ𝔼℀PREMIER16,772 Β· Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere β€” it is generated in your browser when you click.

Performance scores

Aim51
Positioning37
Utility38

0–100 skill scores via Leetify.

Recent form

COLD35–58–7Last 10035%Win rateLLLLWWLLLW

Last 10 vs previous 10: -10pp win rate Β· +0.00 avg rating

Player DNA

Aim5.1
Aggression3.7
Utility3.8
Positioning3.7
Opening Duels0.0

Style profile from tracked-match aggregates β€” 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 72% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Reaction time. 631ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.1
Positioning3.7
Utility3.8
Mechanics5.9
Opening Duels0.6
Win Impact0.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (Γ—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04βˆ’0.01
first β…“ avg -0.03 β†’ last β…“ avg -0.04
Reaction time631ms+3ms
first β…“ avg 628ms β†’ last β…“ avg 631ms
Headshot accuracy18.8%+2.8%
first β…“ avg 16.0% β†’ last β…“ avg 18.8%

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

0.29Best rating β€” debris 9–1
13–0Biggest win β€” cache
4Longest win streak
L4Current streak
5–7In matches decided by ≀2 rounds
2Overtime games

Map breakdown

anubisBest map Β· 50% over 10fachwerkWeakest map Β· 13% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB2411–1346%-0.02
infernoD132–1115%-0.03
mirageD112–918%-0.04
boulderC104–640%-0.02
anubisB105–550%-0.02
fachwerkD81–713%-0.04
ancientC52–340%-0.04
vertigoβ€”40–40%-0.06
debrisβ€”43–175%0.08
overpassβ€”32–167%0.01
dust2β€”20–20%-0.02
nukeβ€”21–150%-0.05
shelterβ€”21–150%0.00
italyβ€”11–0100%-0.01
trainβ€”10–10%-0.02

Across the last 100 tracked matches.

Lifetime stats

84,279Lifetime kills
0.85K/D
6,044Matches
38.8%Match win rate
41.5%Headshot %
11.8%Shot accuracy Β· Top 50% of Purple band
8,527MVPs
3,114Hours (in match)
7,745Bombs planted
1,163Bombs defused

Most-used weapons

AK-4719,890
M4A4 / M4A1-S12,581
AWP11,103
P2000 / USP-S4,697
Desert Eagle3,973
Glock-183,891
P902,829
SSG 081,986
UMP-451,893
Galil AR1,846

Lifetime map wins

14,304dust2
5,071inferno
1,903nuke
1,652vertigo
1,519train
765office
557italy
417cbble

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

Skill profile

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

19.4%Headshot accuracy
29.6%Accuracy (enemy spotted)
34.0%Spray accuracy
76.4%Counter-strafing
11.0Β°Preaim
631msReaction time
22.7%T opening success
34.6%CT opening success
0.41Enemies flashed / flash
8.0%Flash assists
9.42HE damage / grenade
2.88Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 0.4129 β€” below the 0.5 mark we flag

    Grenade Lineups β†’
  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 22.7049% β€” below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics β€” lineups and callouts you learn once keep paying out every time the map comes up.

15% win rate across 13 tracked games β€” your weakest map with enough games to be worth reading into.

Inferno callouts & strategy β†’Inferno grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
fachwerk2–13-0.0221%26 Aug β†’
inferno11–13-0.0810%26 Aug β†’
boulder1–13-0.0614%25 Aug β†’
mirage2–13-0.140%25 Aug β†’
cache13–7-0.068%24 Aug β†’
cache13–9-0.0121%23 Aug β†’
mirage5–13-0.0328%23 Aug β†’
dust25–130.0116%21 Aug β†’
vertigo4–13-0.0718%21 Aug β†’
mirage6–20.070%20 Aug β†’
overpass13–40.0421%20 Aug β†’
cache5–13-0.0815%20 Aug β†’
fachwerk7–13-0.0319%20 Aug β†’
nuke13–7-0.0216%20 Aug β†’
italy13–7-0.0114%19 Aug β†’
cache9–13-0.0118%19 Aug β†’
cache10–13-0.0823%19 Aug β†’
fachwerk10–13-0.1025%18 Aug β†’
inferno4–10-0.0618%18 Aug β†’
cache13–7-0.0420%17 Aug β†’
inferno11–130.0134%17 Aug β†’
mirage10–13-0.0619%15 Aug β†’
cache13–8-0.0014%15 Aug β†’
ancient1–13-0.0711%15 Aug β†’
boulder3–13-0.0335%15 Aug β†’
inferno4–13-0.0814%12 Aug β†’
anubis6–13-0.0337%11 Aug β†’
cache7–13-0.0125%11 Aug β†’
cache12–120.0416%11 Aug β†’
cache9–13-0.0533%10 Aug β†’
mirage5–13-0.074%10 Aug β†’
inferno11–13-0.0321%10 Aug β†’
inferno12–120.0132%9 Aug β†’
train4–13-0.0219%9 Aug β†’
fachwerk12–120.0223%8 Aug β†’
cache13–110.0217%8 Aug β†’
boulder13–70.0116%7 Aug β†’
shelter11–130.0427%6 Aug β†’
boulder10–13-0.1018%5 Aug β†’
cache11–13-0.0313%5 Aug β†’
inferno12–12-0.029%4 Aug β†’
nuke4–13-0.0925%3 Aug β†’
cache6–13-0.0617%2 Aug β†’
cache9–13-0.0319%2 Aug β†’
anubis13–70.0430%2 Aug β†’
cache7–130.0723%2 Aug β†’
overpass10–13-0.0419%2 Aug β†’
boulder13–8-0.0214%2 Aug β†’
mirage14–16-0.0619%1 Aug β†’
cache13–0-0.0321%1 Aug β†’
boulder13–9-0.0622%1 Aug β†’
cache13–5-0.0214%1 Aug β†’
inferno3–13-0.0614%1 Aug β†’
debris9–7-0.0113%1 Aug β†’
inferno13–8-0.057%31 Jul β†’
boulder9–13-0.0416%31 Jul β†’
boulder12–12-0.0215%31 Jul β†’
inferno8–130.0217%31 Jul β†’
debris9–10.2913%30 Jul β†’
debris9–20.0616%30 Jul β†’
cache13–5-0.0117%29 Jul β†’
inferno12–12-0.0417%29 Jul β†’
cache13–90.0124%28 Jul β†’
fachwerk9–13-0.0124%28 Jul β†’
anubis4–13-0.0512%28 Jul β†’
boulder12–120.0122%28 Jul β†’
vertigo3–13-0.1124%28 Jul β†’
fachwerk13–8-0.0229%27 Jul β†’
shelter13–8-0.0418%27 Jul β†’
mirage6–130.0014%27 Jul β†’
anubis3–130.0220%27 Jul β†’
mirage9–13-0.0536%26 Jul β†’
cache4–13-0.0421%26 Jul β†’
anubis8–13-0.0510%26 Jul β†’
cache13–9-0.0319%26 Jul β†’
ancient13–11-0.0213%26 Jul β†’
cache9–13-0.0413%26 Jul β†’
vertigo9–13-0.0721%25 Jul β†’
overpass13–90.0313%25 Jul β†’
anubis13–110.0013%25 Jul β†’
mirage5–13-0.0214%25 Jul β†’
debris6–9-0.0114%25 Jul β†’
cache16–14-0.0210%25 Jul β†’
cache11–13-0.039%25 Jul β†’
anubis13–6-0.076%24 Jul β†’
fachwerk7–13-0.0420%24 Jul β†’
mirage6–13-0.0429%24 Jul β†’
ancient10–13-0.0510%23 Jul β†’
inferno13–10-0.0615%23 Jul β†’
ancient10–13-0.0825%23 Jul β†’
ancient13–4-0.0010%23 Jul β†’
boulder5–10.0913%22 Jul β†’
mirage13–9-0.0310%22 Jul β†’
anubis13–20.0711%22 Jul β†’
inferno8–130.0013%22 Jul β†’
anubis10–13-0.0319%22 Jul β†’
fachwerk4–13-0.0921%21 Jul β†’
dust24–13-0.0616%21 Jul β†’
vertigo6–130.0114%21 Jul β†’
anubis13–7-0.0610%21 Jul β†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’

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