Hazeinger

Hazeinger — CS2 Stats

76561198065956997[U:1:105691269]Steam profile ↗✓ No bans

986Tracked matches62%Win rate2021Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating14,186Blue band · top ~32.7% of ranked players (population est.)
Ladder ranks via Leetify

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CSDB.GGHazeingerPREMIER14,186 · Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning46
Utility37

0–100 skill scores via Leetify.

Recent form

HOT56–42–2Last 10056%Win rateWWWWLWLWWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −0.8pp headshot accuracy · +13ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 14%
  • Avg reaction 605ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 631ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 624ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim7.7
Utility3.7
Positioning4.6
Opening Duels1.9

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 92% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 61% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 597ms 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

Aim7.7
Positioning4.6
Utility3.7
Mechanics7.2
Opening Duels4.5
Win Impact9.0

Composite 5.9/10 (Solid), 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 rating0.00+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time608ms+14ms
first ⅓ avg 594ms → last ⅓ avg 608ms
Headshot accuracy12.8%−5.2%
first ⅓ avg 18.0% → last ⅓ avg 12.8%

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.

Personal bests

0.23Best match rating · 4–0 · cache, 4 Nov →
67%Best headshot accuracy · 1–13 · mirage, 19 Sept →
438msFastest reaction time · 13–11 · nuke, 25 Sept →
13–1Biggest win · cache, 2 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W4Current streak
8–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 80% over 10mirageWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2A2212–1055%-0.02
infernoB189–950%-0.02
ancientA1710–759%-0.02
mirageD175–1229%-0.01
cacheS108–280%0.03
anubisS86–275%0.00
nukeS86–275%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 17). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.1%Headshot accuracy
40.4%Accuracy (enemy spotted)
41.5%Spray accuracy
82.6%Counter-strafing
9.4°Preaim
597msReaction time
61.4%T opening success
34.8%CT opening success
0.53Enemies flashed / flash
4.6%Flash assists
9.10HE damage / grenade
2.92Flashes / 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 13.1498% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 2.9181 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.7797% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–60.0010%5 Nov →
inferno13–10-0.0318%5 Nov →
mirage13–9-0.0119%4 Nov →
cache4–00.237%4 Nov →
cache11–13-0.0218%3 Nov →
ancient13–10-0.0411%2 Nov →
dust27–130.067%2 Nov →
cache13–10.0721%2 Nov →
dust213–10-0.079%1 Nov →
dust23–70.0212%1 Nov →
dust213–100.0115%1 Nov →
ancient6–130.0715%31 Oct →
inferno9–130.0011%31 Oct →
cache13–90.0111%31 Oct →
cache13–8-0.0018%30 Oct →
inferno13–40.1615%30 Oct →
dust213–50.0117%30 Oct →
dust211–13-0.0714%29 Oct →
cache13–90.078%27 Oct →
inferno13–4-0.0717%14 Oct →
mirage15–15-0.029%13 Oct →
anubis13–11-0.0414%12 Oct →
ancient6–13-0.018%12 Oct →
inferno11–13-0.123%12 Oct →
ancient2–13-0.1011%12 Oct →
anubis10–130.0515%12 Oct →
inferno13–9-0.008%11 Oct →
ancient13–3-0.0221%11 Oct →
dust24–13-0.0122%8 Oct →
ancient13–8-0.0513%7 Oct →
dust29–13-0.105%7 Oct →
nuke13–10.098%7 Oct →
ancient13–60.0112%7 Oct →
inferno11–130.017%6 Oct →
nuke13–110.015%6 Oct →
mirage3–13-0.0411%6 Oct →
mirage13–20.1710%5 Oct →
inferno14–160.0120%4 Oct →
ancient13–10-0.0312%3 Oct →
dust216–120.0412%3 Oct →
inferno7–13-0.027%3 Oct →
inferno13–11-0.017%1 Oct →
cache13–5-0.0111%1 Oct →
inferno13–9-0.0212%30 Sept →
anubis13–11-0.0414%26 Sept →
inferno13–4-0.0231%25 Sept →
ancient13–5-0.0510%25 Sept →
inferno13–70.0115%25 Sept →
anubis13–9-0.0711%25 Sept →
ancient9–13-0.0514%25 Sept →
mirage7–130.0125%25 Sept →
mirage5–13-0.043%25 Sept →
nuke13–110.0619%25 Sept →
inferno10–130.008%25 Sept →
cache11–13-0.0216%23 Sept →
inferno13–11-0.013%23 Sept →
anubis13–90.0511%22 Sept →
mirage13–50.0416%22 Sept →
dust28–13-0.0621%22 Sept →
mirage8–130.0113%21 Sept →
mirage8–130.098%21 Sept →
nuke13–5-0.026%20 Sept →
dust213–3-0.022%20 Sept →
dust213–110.0523%20 Sept →
anubis13–60.0229%20 Sept →
ancient9–13-0.069%20 Sept →
nuke11–130.0911%20 Sept →
mirage3–13-0.109%20 Sept →
mirage1–13-0.0967%19 Sept →
dust27–13-0.0515%19 Sept →
cache13–100.0611%18 Sept →
inferno6–13-0.039%18 Sept →
dust213–4-0.0018%17 Sept →
ancient11–50.097%17 Sept →
cache13–11-0.079%16 Sept →
ancient5–13-0.0818%16 Sept →
dust22–13-0.0430%16 Sept →
dust213–7-0.0313%15 Sept →
mirage13–90.0117%15 Sept →
mirage13–6-0.0226%15 Sept →
nuke13–9-0.0714%15 Sept →
ancient9–13-0.0626%14 Sept →
ancient13–30.0315%14 Sept →
dust213–50.0117%14 Sept →
inferno3–13-0.0730%13 Sept →
ancient16–130.0211%13 Sept →
dust213–8-0.080%13 Sept →
dust26–130.0227%13 Sept →
inferno9–13-0.0812%13 Sept →
dust213–80.0113%11 Sept →
mirage4–13-0.0718%11 Sept →
anubis3–130.0412%11 Sept →
mirage12–16-0.0440%11 Sept →
mirage15–150.0032%10 Sept →
anubis13–8-0.010%10 Sept →
mirage10–13-0.0317%10 Sept →
nuke13–60.1014%9 Sept →
dust26–13-0.0622%9 Sept →
dust213–6-0.0217%9 Sept →
nuke6–13-0.0810%8 Sept →

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 →

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