Halinalle

Halinalle — CS2 Stats

FI76561197989400618[U:1:29134890]Steam profile ↗✓ No bans

1,938Tracked matches33%Win rate2021Tracked since
3,587Hours in CS18Hrs last 2 wks
CSDB Rating5.3 DevelopingHybrid Rifler
FaceitLevel 8 · 2,369 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate42.4%47.0%48.5%6.1% short
Shot accuracy11.8%12.7%13.3%1.5% short
Kill/death ratio1.031.071.070.04 short
Match win rate46.0%46.4%47.0%1.1% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHalinalleFACEITLevel 8 · 2,369 ELOSTANDINGTop 31.2% of rankedcsdb.gg/stats

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

Performance scores

Aim78
Positioning50
Utility53

0–100 skill scores via Leetify.

Recent form

COLD41581Last 10041%Win rateWLLLLWWLLL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim7.8
Aggression4.5
Utility5.3
Positioning5.0
Opening Duels1.6
Clutch4.0

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

NiKo

Plays most like NiKo 88% playstyle similarity

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

Where you differ: 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 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim7.8
Positioning5.0
Utility5.3
Mechanics6.2
Opening Duels1.9
Win Impact0.0

Composite 5.3/10 (Developing), 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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time554ms−9ms
first ⅓ avg 562ms → last ⅓ avg 554ms
Headshot accuracy17.0%−1.4%
first ⅓ avg 18.4% → last ⅓ avg 17.0%

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

0.16Best rating — dust2 16–13
131Biggest win — inferno
4Longest win streak
615In matches decided by ≤2 rounds
14Overtime games

Map breakdown

dust2Best map · 67% over 6anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC2281436%0.00
ancientA1912763%0.01
nukeD1841422%-0.01
cacheC135838%-0.01
overpassB115645%0.02
dust2S64267%0.05
anubisD61517%-0.03
mirageC52340%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,778Lifetime kills
1.03K/D
4,752Matches
46.0%Match win rate
42.4%Headshot %
11.8%Shot accuracy
9,586MVPs
2,181Hours (in match)
4,234Bombs planted
1,040Bombs defused

Most-used weapons

AK-4731,968
AWP15,304
P2502,642
FAMAS2,466
Tec-91,991

Lifetime map wins

10,672inferno
7,477nuke
6,841dust2
1,505train
579cbble
439vertigo
99aztec
31dust

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

Faceit stats

Combat

940Matches
50%Win rate
1.03Avg K/D
78.2ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient16449%1.0115.2
Nuke15955%1.0515.4
Inferno14250%1.0915.3
Overpass9461%1.0716.1
Anubis6341%0.9014.2
Mirage5942%0.9615.1
Dust24937%0.9613.3
Train4156%1.2316.3

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.

16.8%Headshot accuracy
38.3%Accuracy (enemy spotted)
38.0%Spray accuracy
77.8%Counter-strafing
8.5°Preaim
557msReaction time
27.7%T opening success
45.3%CT opening success
0.50Enemies flashed / flash
9.7%Flash assists
11.47HE damage / grenade
5.74Flashes / 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 27.6987% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–4-0.0329%28 Aug
nuke8–13-0.0716%26 Aug
inferno8–13-0.0312%26 Aug
anubis4–13-0.079%26 Aug
nuke5–13-0.0711%19 Aug
cache19–160.0215%19 Aug
ancient16–140.0515%18 Aug
inferno11–13-0.0127%17 Aug
dust29–130.0436%17 Aug
cache7–13-0.0528%17 Aug
nuke13–70.0315%11 Aug
ancient13–30.0713%11 Aug
anubis8–130.0116%11 Aug
inferno8–13-0.005%10 Aug
cache13–16-0.0416%10 Aug
nuke10–130.0618%10 Aug
nuke19–16-0.0219%10 Aug
anubis9–13-0.0814%10 Aug
nuke11–130.0417%28 Jul
mirage7–130.0413%28 Jul
ancient13–60.0713%28 Jul
mirage11–13-0.0512%21 Jul
ancient13–50.0522%21 Jul
nuke6–130.0133%9 Jul
ancient6–13-0.074%9 Jul
inferno13–10.0520%6 Jul
ancient8–5-0.0214%6 Jul
nuke8–130.0914%1 Jul
overpass11–13-0.039%1 Jul
overpass6–130.0419%30 Jun
ancient14–160.0217%30 Jun
nuke5–130.0123%25 Jun
anubis13–16-0.0216%23 Jun
inferno9–13-0.0217%23 Jun
overpass13–110.0214%23 Jun
cache4–13-0.047%22 Jun
dust213–90.0929%21 Jun
ancient9–130.0024%14 Jun
cache13–100.0121%14 Jun
nuke9–13-0.0510%13 Jun
inferno11–13-0.0118%12 Jun
inferno13–110.0916%12 Jun
ancient13–5-0.0015%12 Jun
inferno5–13-0.0316%12 Jun
nuke15–15-0.0428%12 Jun
inferno13–60.1019%12 Jun
ancient13–100.0510%12 Jun
anubis14–16-0.0214%12 Jun
inferno13–9-0.0321%10 Jun
overpass11–130.0124%9 Jun
nuke5–13-0.0119%9 Jun
inferno11–13-0.0122%7 Jun
mirage13–9-0.0411%7 Jun
ancient13–7-0.0111%7 Jun
inferno11–13-0.0718%7 Jun
anubis13–4-0.0118%7 Jun
ancient13–9-0.0315%7 Jun
overpass5–13-0.0429%7 Jun
cache14–160.0424%7 Jun
cache8–13-0.0311%6 Jun
inferno11–13-0.0215%6 Jun
overpass13–60.0331%6 Jun
overpass16–140.059%5 Jun
overpass13–80.0416%4 Jun
cache13–80.0427%4 Jun
ancient5–13-0.0717%4 Jun
ancient13–80.0621%3 Jun
inferno13–70.0215%3 Jun
mirage5–130.0125%3 Jun
ancient10–13-0.0112%3 Jun
dust213–90.0013%2 Jun
nuke3–13-0.1115%2 Jun
dust216–130.1627%2 Jun
inferno9–130.0115%2 Jun
inferno8–13-0.0719%1 Jun
cache13–80.0423%1 Jun
overpass10–13-0.0016%31 May
dust29–130.0525%31 May
mirage13–8-0.0121%30 May
inferno14–160.0218%30 May
ancient13–80.0325%30 May
nuke7–13-0.0811%30 May
inferno13–110.0218%29 May
overpass13–100.0719%29 May
cache5–13-0.0525%27 May
inferno13–2-0.0318%27 May
overpass17–19-0.0012%27 May
ancient16–14-0.0314%27 May
nuke10–130.0017%27 May
cache3–13-0.0319%27 May
inferno7–130.0234%27 May
nuke13–100.0423%27 May
nuke13–80.0017%27 May
ancient3–13-0.0315%21 May
nuke11–13-0.0119%21 May
inferno13–100.0918%17 May
inferno8–13-0.0423%15 May
cache6–13-0.077%15 May
ancient10–130.0213%10 May
cache13–50.0215%29 Apr

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →