✪ HAF

✪ HAF — CS2 Stats

76561198108004354[U:1:147738626]Steam profile ↗✓ No bans

1,343Tracked matches60%Win rate2020Tracked since
CSDB Rating6.6 SolidHybrid Rifler
Premier CS Rating23,625Top 50% of 819 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#4664 of 21092 tracked
FaceitLevel 8 · 1,703 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Share this profile

CSDB.GG✪ HAFFACEITLevel 8 · 1,703 ELOSTANDINGTop 31.2% of rankedPREMIER23,625 · Pink bandcsdb.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
Positioning57
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY47467Last 10047%Win rateLWWWLLLWLL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim7.8
Aggression6.1
Utility6.6
Positioning5.7
Opening Duels2.2
Clutch4.2

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

Twistzz

Plays most like Twistzz 95% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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
Positioning5.7
Utility6.6
Mechanics6.2
Opening Duels2.2
Win Impact8.3

Composite 6.6/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time571ms+5ms
first ⅓ avg 566ms → last ⅓ avg 571ms
Headshot accuracy20.6%−1.4%
first ⅓ avg 22.0% → last ⅓ avg 20.6%

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 — anubis 13–3
130Biggest win — anubis
5Longest win streak
1010In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 92% over 12cacheWeakest map · 33% over 33
MapGradePlayedRecordWin rateAvg rating
cacheD33112233%-0.00
ancientB22111150%0.01
infernoC2181338%-0.00
anubisS1211192%0.04
nukeS64267%0.01
overpass31233%0.01
mirage110100%-0.03
vertigo1010%-0.06
dust21010%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

770Matches
52%Win rate
1.17Avg K/D
79.5ADR
40%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Anubis5547%1.0815.5
Inferno5246%1.1818.1
Ancient5252%1.2118.1
Overpass2665%1.1915.9
Vertigo2348%1.2016.6
Nuke2157%1.2116.1
Mirage1267%1.0615.3
Train1060%1.2119.4

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.

20.9%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.3%Spray accuracy
77.9%Counter-strafing
9.1°Preaim
561msReaction time
29.9%T opening success
47.8%CT opening success
0.59Enemies flashed / flash
6.5%Flash assists
10.57HE damage / grenade
8.78Flashes / 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 29.9324% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache9–130.0024%28 Aug
anubis13–00.0925%28 Aug
cache13–5-0.0114%28 Aug
ancient13–80.0820%28 Aug
ancient6–13-0.0122%28 Aug
inferno8–13-0.0220%15 Jul
nuke0–13-0.0918%15 Jul
anubis13–50.0613%15 Jul
cache11–13-0.0122%15 Jul
inferno11–13-0.0817%14 Jul
ancient13–100.0214%14 Jul
cache13–40.1331%14 Jul
nuke13–20.1113%14 Jul
ancient13–5-0.0435%14 Jul
cache11–130.0122%11 Jul
mirage13–10-0.0313%11 Jul
nuke13–110.0920%11 Jul
ancient13–30.0218%11 Jul
ancient7–130.0129%7 Jul
inferno16–140.0231%7 Jul
cache8–13-0.0516%7 Jul
ancient13–60.0424%6 Jul
inferno13–110.0114%6 Jul
anubis13–30.0416%6 Jul
inferno13–4-0.0120%30 Jun
inferno13–80.0514%30 Jun
overpass5–13-0.088%4 Jun
cache3–13-0.0824%4 Jun
ancient13–7-0.0121%4 Jun
vertigo5–13-0.0650%4 Jun
nuke13–100.0621%4 Jun
ancient5–130.0823%4 Jun
cache10–13-0.0510%3 Jun
ancient13–80.1221%3 Jun
anubis13–20.0116%3 Jun
cache16–130.0516%1 Jun
nuke13–9-0.0111%1 Jun
ancient14–160.0211%18 May
cache10–13-0.0215%18 May
anubis16–14-0.0018%16 May
inferno13–100.0230%16 May
inferno13–60.0317%16 May
ancient10–130.0230%16 May
cache11–130.0117%16 May
ancient16–13-0.0118%15 May
cache13–11-0.0221%15 May
anubis5–130.0325%15 May
anubis13–11-0.0217%15 May
inferno11–13-0.0016%15 May
anubis13–11-0.0324%13 May
cache13–100.0332%13 May
inferno7–13-0.0238%11 May
overpass0–13-0.0419%11 May
ancient13–8-0.0019%11 May
anubis13–10.0530%11 May
inferno9–130.0019%8 May
ancient15–15-0.038%8 May
inferno6–13-0.0524%8 May
cache1–13-0.0524%8 May
ancient4–13-0.0118%8 May
cache10–13-0.0118%8 May
dust211–13-0.0421%7 May
cache12–120.0427%7 May
inferno10–130.0219%3 May
inferno13–160.0125%3 May
cache9–13-0.0231%3 May
cache3–130.0135%3 May
cache12–2-0.0115%2 May
cache3–13-0.0612%2 May
cache3–13-0.0135%1 May
nuke6–13-0.1011%1 May
ancient13–10-0.0426%1 May
inferno6–13-0.0318%1 May
cache13–110.0225%1 May
cache7–13-0.0617%30 Apr
cache12–120.0325%30 Apr
cache11–130.0421%30 Apr
cache12–120.0227%30 Apr
cache13–11-0.0132%29 Apr
cache13–80.0032%29 Apr
cache12–120.0040%29 Apr
cache13–6-0.0019%29 Apr
cache4–13-0.0233%29 Apr
cache13–110.0423%29 Apr
cache5–130.0432%29 Apr
ancient8–130.0313%28 Apr
ancient4–13-0.0819%28 Apr
inferno13–80.0529%28 Apr
inferno11–130.0015%27 Apr
ancient13–100.0120%27 Apr
inferno10–13-0.006%27 Apr
anubis13–30.1733%27 Apr
anubis13–80.0826%24 Apr
inferno15–15-0.0421%24 Apr
overpass13–10.1514%24 Apr
ancient15–15-0.0013%24 Apr
inferno13–16-0.0823%22 Apr
ancient11–130.0220%22 Apr
anubis13–80.0511%22 Apr
inferno13–30.0522%22 Apr

Match data via Leetify.

Recent teammates

Milestones

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