❆ hIGHLA — CS2 Stats

76561199349765109[U:1:1389499381]✓ No bans

488Tracked matches41%Win rate2023Tracked since
CSDB Rating5.2 DevelopingAggressive Rifler
Premier CS Rating22,257Top 50% of 17,162 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)
CSDB Leaderboard#8600 of 30970 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GG❆ hIGHLAPREMIER22,257 · Pink bandcsdb.gg/stats

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Performance scores

Aim75
Positioning48
Utility60

0–100 skill scores via Leetify.

Recent form

COLD53425Last 10053%Win rateLLLWLLLLLL

Last 10 vs previous 10: -50pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression7.1
Utility6.0
Positioning4.8
Opening Duels2.2
Clutch3.6

Strong CT-side opener

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 559ms 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

Aim7.5
Positioning4.8
Utility6.0
Mechanics3.8
Opening Duels2.4
Win Impact2.1

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time562ms−33ms
first ⅓ avg 596ms → last ⅓ avg 562ms
Headshot accuracy23.3%−1.9%
first ⅓ avg 25.1% → last ⅓ avg 23.3%

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

0.18Best rating — cache 13–9
130Biggest win — cache
5Longest win streak
L3Current streak
74In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
cacheS31201165%0.03
dust2A1810856%0.03
infernoA116555%0.03
mirageC114736%-0.00
ancientD82625%-0.02
nukeA85363%0.02
anubisS75271%0.06
vertigo2020%0.04
overpass2020%0.02
office1010%0.05
train110100%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

194Matches
58%Win rate
1.13Avg K/D
83.4ADR
52%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust23858%1.0615.5
Ancient3661%1.1416.7
Mirage3155%1.0713.9
Nuke2268%1.1816.6
Anubis1968%1.2519.1
Inferno1644%1.0514.7
Vertigo1450%1.1717.2
Overpass743%1.0617.1

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.

23.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
41.8%Spray accuracy
67.2%Counter-strafing
9.6°Preaim
559msReaction time
28.8%T opening success
49.1%CT opening success
0.52Enemies flashed / flash
6.7%Flash assists
8.88HE damage / grenade
13.70Flashes / 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 28.7589% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache2–13-0.0427%28 Aug
vertigo7–13-0.0223%28 Aug
dust25–13-0.0133%28 Aug
anubis16–120.0525%27 Aug
ancient6–13-0.0220%27 Aug
anubis7–130.0924%27 Aug
dust28–130.0221%26 Aug
office7–130.0520%25 Aug
inferno6–13-0.0427%21 Aug
anubis8–130.0625%21 Aug
cache13–100.1028%21 Aug
anubis13–10-0.0127%19 Aug
ancient9–13-0.0721%13 Aug
cache9–130.0429%5 Aug
mirage13–90.0326%5 Aug
mirage4–13-0.1018%5 Aug
anubis13–40.1320%3 Aug
anubis13–20.1314%3 Aug
cache9–130.0328%26 Jul
cache13–70.0723%25 Jul
dust213–7-0.0131%25 Jul
nuke10–13-0.0223%25 Jul
ancient10–130.0323%24 Jul
dust213–100.0215%23 Jul
mirage13–90.0220%21 Jul
dust213–100.0323%19 Jul
ancient13–50.0112%19 Jul
inferno15–150.0529%19 Jul
inferno5–13-0.0325%18 Jul
dust27–13-0.0216%18 Jul
dust213–10.1829%17 Jul
mirage15–15-0.0421%16 Jul
mirage5–13-0.0222%15 Jul
cache13–10.0634%14 Jul
nuke12–160.0417%13 Jul
cache3–13-0.0218%13 Jul
dust213–90.0515%13 Jul
mirage7–13-0.0616%12 Jul
nuke13–11-0.0216%12 Jul
inferno13–20.0929%12 Jul
cache13–10.0619%12 Jul
dust214–16-0.0136%12 Jul
inferno13–50.0316%12 Jul
cache4–13-0.0119%11 Jul
nuke13–110.0315%11 Jul
dust28–13-0.0223%11 Jul
cache5–130.0223%11 Jul
inferno13–20.1311%11 Jul
mirage9–13-0.0217%11 Jul
cache13–3-0.0024%11 Jul
dust213–11-0.0525%11 Jul
mirage3–13-0.0621%11 Jul
ancient8–13-0.1022%10 Jul
cache13–30.0719%10 Jul
cache13–60.1526%3 Jul
cache13–00.0821%2 Jul
inferno13–70.0126%30 Jun
mirage13–80.0524%28 Jun
dust28–13-0.038%28 Jun
nuke15–150.0718%28 Jun
anubis13–10-0.0215%27 Jun
ancient8–13-0.107%27 Jun
nuke13–2-0.0726%27 Jun
dust216–120.0426%27 Jun
ancient12–120.0018%27 Jun
inferno13–110.0430%26 Jun
inferno11–13-0.0515%25 Jun
cache13–90.1825%24 Jun
train13–20.0011%23 Jun
cache13–0-0.0028%22 Jun
cache13–100.0321%22 Jun
cache12–12-0.0721%20 Jun
cache8–10.0518%20 Jun
cache13–50.0724%20 Jun
cache13–60.0316%19 Jun
cache13–7-0.0321%19 Jun
nuke13–100.0321%17 Jun
dust210–130.0320%16 Jun
inferno8–130.0328%15 Jun
dust213–20.1340%15 Jun
overpass8–13-0.0129%15 Jun
dust213–110.0318%13 Jun
cache11–13-0.0038%12 Jun
cache13–80.0119%12 Jun
cache13–20.0223%12 Jun
overpass9–130.0516%12 Jun
mirage7–130.0433%10 Jun
dust211–13-0.0423%9 Jun
ancient13–50.0822%8 Jun
mirage13–50.1224%7 Jun
cache10–130.0925%7 Jun
dust213–50.1529%7 Jun
nuke2–00.10100%7 Jun
cache7–13-0.0517%6 Jun
cache13–100.0921%4 Jun
vertigo4–130.1130%3 Jun
inferno13–40.0420%1 Jun
cache13–50.0710%30 May
cache13–11-0.0520%30 May
cache5–13-0.0617%30 May

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 →