Havickz

Havickz — CS2 Stats

US76561198020532413[U:1:60266685]Steam profile ↗✓ No bans

802Tracked matches46%Win rate2024Tracked since
475Hours in CS
CSDB Rating3.3 Learning
Ladder ranks via Leetify

Performance scores

Aim21
Positioning37
Utility32

0–100 skill scores via Leetify.

Recent form

COLD355510Last 10035%Win rateWLLLLLWTLW

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim2.1
Aggression4.3
Utility3.2
Positioning3.7
Opening Duels1.0

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 72% playstyle similarity

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

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

T-side openings. Opening success drops from 43% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 794ms 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

Aim2.1
Positioning3.7
Utility3.2
Mechanics5.9
Opening Duels1.6
Win Impact3.8

Composite 3.3/10 (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+0.01
first ⅓ avg -0.08 → last ⅓ avg -0.06
Reaction time795ms+54ms
first ⅓ avg 741ms → last ⅓ avg 795ms
Headshot accuracy12.7%−2.3%
first ⅓ avg 15.0% → last ⅓ avg 12.7%

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

0.06Best rating — inferno 13–8
133Biggest win — inferno
3Longest win streak
56In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 45% over 20ancientWeakest map · 0% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2091145%-0.06
dust2C1971237%-0.06
infernoD1751229%-0.07
nukeC146843%-0.09
ancientD8080%-0.06
anubisC73443%-0.05
vertigoD72529%-0.08
cacheD62433%-0.05
overpass21150%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,901Lifetime kills
0.69K/D
1,391Matches
32.6%Match win rate
43.9%Headshot %
7.0%Shot accuracy
1,502MVPs
475Hours (in match)
1,037Bombs planted
187Bombs defused

Most-used weapons

Lifetime map wins

2,458dust2
1,465inferno
1,448nuke
702vertigo
545train
18office
13ar_shoots
9lake

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

Skill profile

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

13.3%Headshot accuracy
28.2%Accuracy (enemy spotted)
27.4%Spray accuracy
76.5%Counter-strafing
11.2°Preaim
794msReaction time
25.4%T opening success
42.9%CT opening success
0.51Enemies flashed / flash
9.9%Flash assists
4.39HE damage / grenade
2.78Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.3083% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 794.4133ms — above the 700ms mark we flag

    Aim Training
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.7828 — below the 4 mark we flag

    Grenade Lineups
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.

0% 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
mirage13–10-0.0811%13 Aug
dust210–13-0.068%13 Aug
anubis8–13-0.0618%9 Jun
dust211–13-0.0616%7 Jun
mirage9–13-0.0411%1 Jun
ancient6–13-0.0412%1 Jun
mirage13–11-0.0720%31 May
dust212–12-0.066%31 May
nuke9–13-0.117%30 May
dust213–8-0.0711%29 May
anubis13–6-0.079%28 May
vertigo13–8-0.0122%28 May
ancient9–13-0.089%27 May
mirage7–13-0.0819%27 May
mirage11–13-0.058%27 May
vertigo13–6-0.077%27 May
mirage8–13-0.1011%26 May
dust211–130.0426%25 May
inferno3–13-0.0815%25 May
mirage13–8-0.1320%25 May
dust213–8-0.054%25 May
ancient5–13-0.128%25 May
dust213–7-0.1016%25 May
dust23–13-0.0512%25 May
mirage13–9-0.0811%25 May
mirage4–13-0.0310%24 May
overpass13–9-0.0220%24 May
nuke13–11-0.105%24 May
inferno13–3-0.0210%24 May
dust212–12-0.0632%24 May
cache13–6-0.0213%24 May
vertigo7–13-0.079%23 May
cache13–3-0.017%23 May
dust29–130.0113%23 May
ancient6–13-0.0317%23 May
anubis12–12-0.0918%23 May
dust213–6-0.098%22 May
nuke11–4-0.088%22 May
mirage6–13-0.0610%22 May
mirage14–16-0.0517%22 May
mirage13–7-0.124%22 May
cache7–13-0.0519%21 May
mirage13–8-0.057%21 May
nuke13–10-0.0917%21 May
dust213–9-0.0714%21 May
anubis12–12-0.073%21 May
ancient10–13-0.0315%20 May
dust29–13-0.069%20 May
ancient12–12-0.0115%20 May
nuke6–13-0.1111%20 May
nuke15–15-0.0622%20 May
dust212–12-0.0621%20 May
nuke0–12-0.050%19 May
mirage13–3-0.054%19 May
dust213–11-0.0516%19 May
inferno5–9-0.0923%18 May
nuke9–5-0.0617%18 May
inferno6–9-0.1316%18 May
dust27–13-0.0811%18 May
mirage13–7-0.049%18 May
ancient12–12-0.1217%18 May
mirage8–13-0.018%14 May
mirage8–13-0.037%14 May
dust22–13-0.1025%14 May
cache3–13-0.1017%14 May
inferno13–11-0.0419%14 May
inferno7–13-0.0923%13 May
mirage13–8-0.0820%13 May
ancient3–12-0.0518%12 May
cache8–13-0.0226%11 May
inferno13–11-0.0715%11 May
inferno13–80.0623%11 May
anubis8–13-0.0238%11 May
nuke13–8-0.0818%10 May
cache5–13-0.136%28 Apr
inferno2–9-0.210%13 Apr
inferno6–90.0222%13 Apr
inferno11–13-0.0115%12 Apr
mirage9–13-0.0317%12 Apr
vertigo4–9-0.1111%7 Apr
nuke8–8-0.1123%7 Apr
vertigo4–9-0.187%4 Apr
anubis13–10-0.035%4 Apr
inferno12–12-0.073%1 Apr
vertigo4–9-0.120%31 Mar
inferno2–9-0.188%31 Mar
inferno9–6-0.0325%31 Mar
overpass3–13-0.1150%28 Mar
nuke4–9-0.087%28 Mar
nuke3–9-0.180%28 Mar
nuke5–9-0.100%28 Mar
nuke13–6-0.1222%24 Mar
inferno4–13-0.0540%23 Mar
vertigo7–9-0.0223%19 Mar
dust25–13-0.098%19 Mar
anubis13–6-0.0211%22 Feb
dust213–7-0.0515%22 Feb
inferno8–13-0.0712%10 Feb
mirage5–13-0.080%27 Jan
inferno9–13-0.0810%25 Jan

Match data via Leetify.

Recent teammates

Milestones

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