β˜£π’±π’Ύπ“…π‘’β˜£

β˜£π’±π’Ύπ“…π‘’β˜£ β€” CS2 Stats

ZA76561198387637496[U:1:427371768]Steam profile β†—

3,178Tracked matches52%Win rate2021Tracked since
2,215Hours in CS
CSDB Rating4.9 DevelopingHybrid Rifler
Premier CS Rating9,376Light Blue band Β· top ~57.9% of ranked players (population est.)
CSDB Leaderboard#40269 of 55318 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=917), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate44.6%39.7%41.4%above
Shot accuracy15.5%6.7%9.0%above
Kill/death ratio0.990.910.97above
Match win rate41.7%42.1%43.7%2.0% short

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Blue band median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGβ˜£π’±π’Ύπ“…π‘’β˜£PREMIER9,376 Β· Light Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning39
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY41–57–2Last 10041%Win rateLWLWLLWLLW

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

Player DNA

Primary style: Hybrid Rifler β€” Aim-led profile without a single dominant tendency.

Aim6.0
Aggression5.2
Utility4.6
Positioning3.9
Opening Duels2.3

Excellent counter-strafingLimited utility dependence

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 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

Counter-strafing. 91% of shots taken properly stopped β€” movement discipline most players never reach.

Areas to improve

Reaction time. 728ms 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

Aim6.0
Positioning3.9
Utility4.6
Mechanics9.2
Opening Duels2.3
Win Impact5.6

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (Γ—0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first β…“ avg -0.02 β†’ last β…“ avg -0.01
Reaction time735ms+8ms
first β…“ avg 728ms β†’ last β…“ avg 735ms
Headshot accuracy19.9%+0.4%
first β…“ avg 19.6% β†’ last β…“ avg 19.9%

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

0.12Best rating β€” mirage 13–1
13–1Biggest win β€” mirage
3Longest win streak
6–10In matches decided by ≀2 rounds
7Overtime games

Map breakdown

overpassBest map Β· 57% over 7dust2Weakest map Β· 32% over 25
MapGradePlayedRecordWin rateAvg rating
mirageD3512–2334%-0.01
dust2D258–1732%-0.01
infernoB158–753%-0.01
nukeC94–544%-0.01
ancientC73–443%0.01
overpassA74–357%0.02
anubisβ€”22–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,941Lifetime kills
0.99K/D Β· Top 50% of Light Blue band
4,741Matches
41.7%Match win rate
44.6%Headshot % Β· Top 25% of Light Blue band
15.5%Shot accuracy Β· Top 25% of Light Blue band
11,180MVPs
2,215Hours (in match)
3,068Bombs planted
834Bombs defused

Most-used weapons

AK-4732,594
AWP10,894
MP92,543
SSG 082,168
FAMAS1,496

Lifetime map wins

7,429dust2
6,867inferno
4,601nuke
2,128vertigo
430office
408train
289italy
133militia

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.

19.7%Headshot accuracy
30.4%Accuracy (enemy spotted)
31.4%Spray accuracy
91.4%Counter-strafing
8.9Β°Preaim
728msReaction time
34.1%T opening success
44.1%CT opening success
0.64Enemies flashed / flash
10.8%Flash assists
12.39HE damage / grenade
3.60Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one β€” framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 728.3245ms β€” above the 700ms mark we flag

    Aim Training β†’
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6006 β€” below the 4 mark we flag

    Grenade Lineups β†’
  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 34.0615% β€” below the 40% mark we flag

Spend your practice time on Dust 2

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

32% win rate across 25 tracked games β€” your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy β†’Dust 2 grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
mirage10–130.0116%8 Mar β†’
dust213–30.0220%23 Feb β†’
mirage6–13-0.0410%23 Feb β†’
dust213–8-0.0012%22 Feb β†’
mirage8–13-0.056%22 Feb β†’
mirage6–13-0.0315%22 Feb β†’
mirage13–40.0218%22 Feb β†’
dust27–13-0.0816%22 Feb β†’
inferno11–13-0.0417%15 Feb β†’
mirage13–7-0.0313%15 Feb β†’
nuke13–3-0.0115%15 Feb β†’
mirage15–15-0.047%15 Feb β†’
ancient5–130.0317%15 Feb β†’
mirage13–40.0129%15 Feb β†’
nuke13–100.0120%15 Feb β†’
dust213–160.0118%15 Feb β†’
mirage6–13-0.0953%15 Feb β†’
inferno13–40.1122%14 Feb β†’
mirage11–13-0.0323%14 Feb β†’
nuke13–10-0.0418%14 Feb β†’
mirage14–160.0434%8 Feb β†’
inferno16–140.0525%6 Feb β†’
anubis13–50.0331%6 Feb β†’
dust213–40.1019%6 Feb β†’
nuke11–130.0225%6 Feb β†’
mirage2–13-0.118%5 Feb β†’
inferno13–8-0.0324%4 Feb β†’
dust210–13-0.0333%3 Feb β†’
inferno13–110.0317%3 Feb β†’
anubis13–10-0.057%1 Feb β†’
mirage9–13-0.0238%29 Jan β†’
mirage13–100.0115%29 Jan β†’
dust213–100.0017%29 Jan β†’
mirage13–50.0111%29 Jan β†’
dust22–13-0.0428%29 Jan β†’
mirage9–130.0520%29 Jan β†’
inferno13–7-0.0717%28 Jan β†’
overpass11–13-0.0320%28 Jan β†’
dust25–130.0512%28 Jan β†’
dust213–16-0.0421%28 Jan β†’
nuke14–16-0.0229%27 Jan β†’
mirage13–60.0128%27 Jan β†’
dust29–130.0222%27 Jan β†’
overpass13–50.1022%27 Jan β†’
overpass13–100.0922%26 Jan β†’
dust26–13-0.0420%26 Jan β†’
mirage7–130.0919%26 Jan β†’
inferno13–50.0232%26 Jan β†’
inferno6–13-0.0417%26 Jan β†’
mirage7–130.0518%26 Jan β†’
inferno13–50.0524%26 Jan β†’
nuke3–13-0.0028%26 Jan β†’
mirage8–130.0530%26 Jan β†’
dust26–13-0.0823%25 Jan β†’
overpass13–9-0.0413%25 Jan β†’
dust211–13-0.0118%25 Jan β†’
mirage5–13-0.108%25 Jan β†’
mirage13–110.1216%25 Jan β†’
ancient6–13-0.0125%25 Jan β†’
mirage10–130.1015%25 Jan β†’
dust213–11-0.0226%25 Jan β†’
dust29–13-0.0419%25 Jan β†’
mirage5–13-0.090%24 Jan β†’
inferno2–13-0.076%23 Jan β†’
mirage8–13-0.0326%23 Jan β†’
ancient13–8-0.0214%23 Jan β†’
ancient13–40.0235%23 Jan β†’
dust210–13-0.0035%23 Jan β†’
dust28–130.0111%23 Jan β†’
mirage13–10-0.016%23 Jan β†’
dust211–130.0119%23 Jan β†’
nuke9–13-0.0413%23 Jan β†’
overpass13–60.0519%23 Jan β†’
ancient13–30.0920%23 Jan β†’
mirage13–1-0.0220%23 Jan β†’
inferno6–13-0.0431%22 Jan β†’
dust210–13-0.0818%22 Jan β†’
nuke11–130.0218%22 Jan β†’
inferno13–7-0.0012%22 Jan β†’
dust213–90.0812%22 Jan β†’
mirage13–7-0.0412%22 Jan β†’
mirage6–13-0.057%22 Jan β†’
dust27–10.0514%22 Jan β†’
overpass12–12-0.0218%21 Jan β†’
ancient10–13-0.069%21 Jan β†’
dust22–13-0.1033%21 Jan β†’
inferno8–13-0.0921%21 Jan β†’
dust22–00.0633%21 Jan β†’
mirage4–13-0.1233%20 Jan β†’
inferno9–13-0.0530%20 Jan β†’
mirage13–10-0.0418%20 Jan β†’
mirage6–13-0.0036%19 Jan β†’
nuke13–11-0.0511%19 Jan β†’
ancient5–13-0.0026%19 Jan β†’
mirage14–16-0.0810%19 Jan β†’
overpass7–13-0.0119%19 Jan β†’
dust28–13-0.0016%18 Jan β†’
mirage4–13-0.0219%18 Jan β†’
mirage13–10.1225%18 Jan β†’
inferno6–13-0.0520%18 Jan 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†’