HR

HR — CS2 Stats

BL76561199538672662[U:1:1578406934]Steam profile ↗

2,537Tracked matches47%Win rate2023Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
FaceitLevel 7 · 1,570 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGHRFACEITLevel 7 · 1,570 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning58
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY47512Last 10047%Win rateLWLLWLLLWW

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

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

Aim6.3
Aggression8.2
Utility6.5
Positioning5.8
Opening Duels4.4
Clutch3.6

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

jL

Plays most like jL 89% playstyle similarity

Most alike: utility contribution, 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

Reaction time. 579ms 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

Aim6.3
Positioning5.8
Utility6.5
Mechanics5.5
Opening Duels4.4
Win Impact3.9

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time588ms−30ms
first ⅓ avg 618ms → last ⅓ avg 588ms
Headshot accuracy14.9%−4.0%
first ⅓ avg 19.0% → last ⅓ avg 14.9%

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

0.13Best rating — dust2 13–7
132Biggest win — dust2
5Longest win streak
67In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 83% over 6anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B35161946%0.01
mirageB1991047%0.01
ancientC125742%0.01
anubisD93633%-0.01
infernoC83538%-0.03
nukeB84450%-0.00
cacheS65183%0.01
overpass32167%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

746Matches
49%Win rate
1.15Avg K/D
80.7ADR
36%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust221848%1.1716.4
Mirage15144%1.1416.1
Ancient14653%1.1417.2
Anubis9955%1.2517.7
Inferno6149%1.0515.8
Nuke4149%1.0915.7
Overpass1242%1.1916.8
Train1030%1.1917.9

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.

15.0%Headshot accuracy
37.4%Accuracy (enemy spotted)
36.6%Spray accuracy
74.6%Counter-strafing
11.0°Preaim
579msReaction time
43.9%T opening success
51.2%CT opening success
0.60Enemies flashed / flash
8.8%Flash assists
11.20HE damage / grenade
9.12Flashes / match

Recommended for you

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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient2–130.0325%28 Aug
dust213–20.0713%28 Aug
dust28–13-0.0111%28 Aug
dust29–130.1124%28 Aug
mirage13–30.069%28 Aug
inferno7–130.039%27 Aug
dust26–130.0819%27 Aug
dust24–13-0.0022%27 Aug
ancient13–40.0610%27 Aug
dust213–20.0917%27 Aug
nuke13–50.0310%26 Aug
anubis8–13-0.038%21 Aug
anubis3–13-0.0414%20 Aug
mirage13–30.118%20 Aug
inferno5–13-0.059%16 Aug
dust213–90.0119%16 Aug
ancient13–80.0514%16 Aug
ancient11–13-0.006%15 Aug
dust210–130.0314%15 Aug
dust25–13-0.0214%15 Aug
dust213–70.1317%14 Aug
dust216–140.0512%14 Aug
anubis13–20.0820%14 Aug
dust27–130.0117%12 Aug
anubis9–130.0123%8 Aug
inferno13–60.0814%7 Aug
dust28–13-0.0215%7 Aug
dust213–100.0120%7 Aug
mirage10–130.0217%28 Jul
dust213–11-0.0220%19 Jul
inferno10–13-0.0810%17 Jul
ancient10–13-0.0119%17 Jul
anubis13–4-0.0114%17 Jul
mirage2–13-0.0517%17 Jul
inferno5–13-0.0916%17 Jul
dust213–90.0618%17 Jul
cache8–00.0119%17 Jul
nuke13–60.0619%17 Jul
nuke13–100.0214%17 Jul
cache13–80.0713%17 Jul
mirage3–13-0.0627%10 Jul
dust213–6-0.0111%10 Jul
anubis13–50.0513%10 Jul
dust27–13-0.0213%10 Jul
dust26–13-0.0419%9 Jul
nuke5–13-0.0618%9 Jul
cache13–40.0019%9 Jul
mirage10–13-0.0118%9 Jul
dust210–13-0.0315%9 Jul
cache13–90.0012%8 Jul
cache13–90.0424%7 Jul
nuke4–13-0.0123%7 Jul
dust211–130.0023%7 Jul
dust211–130.0222%6 Jul
dust29–130.0017%3 Jul
dust216–130.0918%3 Jul
dust28–130.0518%3 Jul
dust20–13-0.1218%3 Jul
dust23–13-0.1114%2 Jul
mirage10–130.029%2 Jul
dust213–5-0.0523%2 Jul
mirage13–100.0213%2 Jul
nuke13–6-0.0113%2 Jul
anubis7–13-0.0524%1 Jul
dust213–10-0.0119%1 Jul
mirage13–70.0515%1 Jul
overpass13–50.0323%1 Jul
dust213–90.0524%30 Jun
cache6–13-0.0521%29 Jun
mirage13–11-0.0219%27 Jun
mirage15–15-0.0211%26 Jun
mirage11–13-0.0533%26 Jun
nuke10–13-0.0214%25 Jun
overpass8–13-0.0215%25 Jun
ancient15–150.0112%25 Jun
ancient13–80.0315%25 Jun
ancient6–13-0.0127%25 Jun
dust211–13-0.0119%24 Jun
dust213–70.0133%24 Jun
ancient13–60.0517%24 Jun
mirage13–70.0314%24 Jun
ancient6–13-0.0611%23 Jun
anubis5–13-0.0619%23 Jun
mirage5–13-0.0426%23 Jun
mirage13–16-0.0313%23 Jun
inferno16–13-0.0112%22 Jun
ancient6–130.0114%22 Jun
anubis1–13-0.0620%22 Jun
mirage13–30.0116%22 Jun
dust213–110.0311%22 Jun
mirage13–110.0917%22 Jun
ancient13–10-0.0124%22 Jun
mirage13–9-0.0116%22 Jun
nuke10–13-0.0322%19 Jun
inferno11–13-0.0315%19 Jun
inferno13–11-0.0525%19 Jun
mirage9–130.0020%18 Jun
dust213–8-0.0124%17 Jun
overpass13–100.0322%17 Jun
dust217–19-0.0226%16 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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