Hflaps — CS2 Stats

76561198083687479[U:1:123421751]

149Tracked matches37%Win rate2024Tracked since
CSDB Rating1.7 Learning
Ladder ranks via Leetify

Performance scores

Aim22
Positioning24
Utility5

0–100 skill scores via Leetify.

Recent form

STEADY41518Last 10041%Win rateTLLTWWLWLW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim2.2
Aggression0.0
Utility0.5
Positioning2.4
Opening Duels0.0

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 50% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 667ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim2.2
Positioning2.4
Utility0.5
Mechanics2.8
Opening Duels0.0
Win Impact0.7

Composite 1.7/10 (Learning), 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 rating-0.06−0.02
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time660ms+25ms
first ⅓ avg 635ms → last ⅓ avg 660ms
Headshot accuracy18.5%+4.9%
first ⅓ avg 13.6% → last ⅓ avg 18.5%

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

0.10Best rating — ancient 13–1
131Biggest win — ancient
5Longest win streak
67In matches decided by ≤2 rounds

Map breakdown

trainBest map · 67% over 6cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C1871139%-0.06
nukeB136746%-0.07
infernoC125742%-0.07
vertigoD113827%-0.07
ancientA95456%-0.02
cacheD92722%-0.07
mirageD72529%-0.08
trainS64267%-0.02
anubis43175%-0.03
office43175%-0.06
overpass3030%-0.08
warden21150%-0.08
boulder1010%-0.05
grail1010%0.01

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.6%Headshot accuracy
24.4%Accuracy (enemy spotted)
21.1%Spray accuracy
62.4%Counter-strafing
10.1°Preaim
667msReaction time
14.6%T opening success
23.4%CT opening success
0.04Enemies flashed / flash
0.0%Flash assists
0.00HE damage / grenade
0.04Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0393 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 14.5659% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0717%30 Aug
mirage6–13-0.1015%30 Aug
nuke3–13-0.1212%30 Aug
mirage12–12-0.1528%26 Aug
inferno13–70.0135%26 Aug
ancient13–11-0.057%26 Aug
ancient5–13-0.0330%25 Aug
cache13–7-0.0913%23 Aug
dust24–13-0.1210%3 Aug
mirage13–10-0.0511%3 Aug
dust212–12-0.0618%29 Jul
inferno8–13-0.048%29 Jul
nuke13–11-0.0115%28 Jul
cache6–13-0.0917%28 Jul
mirage5–13-0.0719%26 Jul
vertigo13–7-0.108%26 Jul
nuke5–13-0.1111%26 Jul
boulder5–13-0.0511%23 Jul
dust29–13-0.0723%23 Jul
ancient10–13-0.116%23 Jul
cache6–13-0.0627%23 Jul
dust210–13-0.0826%16 Jul
ancient13–2-0.0040%16 Jul
cache11–13-0.0228%16 Jul
inferno7–13-0.1012%14 Jul
anubis13–5-0.0515%12 Jul
mirage4–13-0.0735%12 Jul
cache11–13-0.0522%7 Jul
inferno13–4-0.0917%5 Jul
nuke13–9-0.0629%5 Jul
anubis13–2-0.0522%1 Jul
nuke13–110.0011%29 Jun
ancient13–20.0014%29 Jun
dust210–13-0.0729%29 Jun
train13–4-0.0910%21 Jun
ancient9–13-0.029%19 Jun
dust210–13-0.0817%18 Jun
train7–3-0.0329%18 Jun
office13–110.0323%17 Jun
train13–20.0331%17 Jun
vertigo3–13-0.0918%16 Jun
nuke12–12-0.1011%16 Jun
dust213–2-0.0413%15 Jun
nuke13–3-0.0219%15 Jun
inferno12–12-0.1326%14 Jun
cache9–13-0.1117%14 Jun
inferno0–9-0.2518%14 Jun
ancient13–5-0.0311%12 Jun
inferno9–13-0.0819%12 Jun
vertigo13–4-0.0533%10 Jun
office13–6-0.030%9 Jun
warden11–13-0.0720%9 Jun
vertigo13–11-0.0313%8 Jun
vertigo12–12-0.1212%4 Jun
cache13–5-0.0313%1 Jun
warden13–11-0.1030%1 Jun
nuke11–13-0.0715%28 May
anubis13–40.0028%28 May
vertigo7–13-0.096%28 May
office8–13-0.140%26 May
inferno13–8-0.0310%26 May
vertigo12–12-0.0713%24 May
overpass6–13-0.0412%23 May
dust29–13-0.0719%23 May
dust213–9-0.0217%21 May
cache11–13-0.0515%21 May
anubis4–13-0.035%14 May
dust213–5-0.078%14 May
office13–9-0.097%14 May
nuke6–13-0.075%12 May
dust213–8-0.0210%12 May
cache9–13-0.0913%5 May
train13–4-0.0117%23 Nov
nuke13–10-0.1014%22 Nov
dust213–4-0.0221%22 Nov
vertigo12–12-0.0510%22 Nov
inferno11–13-0.0614%16 Nov
dust213–4-0.0319%14 Nov
vertigo1–13-0.0516%14 Nov
inferno13–2-0.0317%12 Nov
nuke6–13-0.099%11 Nov
overpass7–13-0.1211%11 Nov
mirage13–6-0.0417%9 Nov
train2–110.0223%9 Nov
inferno9–13-0.0413%8 Nov
dust210–13-0.0822%7 Nov
dust211–13-0.0712%4 Nov
overpass7–13-0.0715%1 Nov
dust26–13-0.0220%21 Oct
mirage8–13-0.0613%12 Oct
ancient13–10.1013%10 Oct
vertigo5–13-0.0817%5 Oct
vertigo9–13-0.0918%30 Sept
ancient9–13-0.0813%23 Sept
dust213–10-0.0516%21 Sept
grail8–130.015%7 Sept
nuke9–13-0.0813%7 Sept
train10–13-0.0210%4 Sept
inferno13–80.0111%17 Aug
nuke13–8-0.027%10 Aug

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 →