Hazered

Hazered — CS2 Stats

FI76561198047671731[U:1:87406003]Steam profile ↗✓ No bans

1,739Tracked matches56%Win rate2020Tracked since
CSDB Rating4.2 DevelopingSupport
Premier CS Rating7,785Light Blue band · top ~65.5% of ranked players (population est.)
FaceitLevel 4 · 1,046 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 7,785 -2,335 19 Aug – 3 Nov · 30 days played
6,49410,120peak 10,12019 Aug3 Nov
10,491Peak Premier in tracked matches
1,046Highest Faceit ELO seen on CSDB
31Days played since 2026-05-27

Faceit ELO

  • At peak — 1,046
  • Next: Level 5 at 1,051 — 5 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-27
  • Level 3 first seen 2026-09-27

Premier CS Rating

  • 2,335 below peak (10,120)
  • +169 over 30 days · steady
  • -2,335 over 90 days
  • Next: Blue band at 10,000 — 2,215 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-27

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGHazeredFACEITLevel 4 · 1,046 ELOSTANDINGTop 81.0% of rankedPREMIER7,785 · Light Blue bandPEAK ELO1,046csdb.gg/stats

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Performance scores

Aim39
Positioning47
Utility60

0–100 skill scores via Leetify.

Recent form

COLD43–49–8Last 10043%Win rateWWTLLLTTLL

Last 10 vs previous 10: −50pp win rate · +0.00 avg rating · −0.0pp headshot accuracy · −9ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 700ms

Last 10

  • 2–5–3 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 646ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 650ms

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: Support — Utility contribution stands above the rest of this profile (+2.8 against its own average).

Aim3.9
Utility6.0
Positioning4.7
Opening Duels0.9
Clutch1.4

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

iM

Plays most like iM 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 59% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.9
Positioning4.7
Utility6.0
Mechanics3.8
Opening Duels4.2
Win Impact6.9

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time613ms−13ms
first ⅓ avg 627ms → last ⅓ avg 613ms
Headshot accuracy13.1%+1.3%
first ⅓ avg 11.8% → last ⅓ avg 13.1%

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

0.13Best match rating · 13–2 · inferno, 27 Sept →
40%Best headshot accuracy · 9–3 · cache, 10 Oct →
430msFastest reaction time · 13–8 · ancient, 4 Oct →
13–0Biggest win · anubis, 4 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–6In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 60% over 5anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA1911–858%-0.02
dust2D186–1233%-0.02
nukeB179–853%-0.04
mirageD154–1127%-0.02
cacheA148–657%-0.01
anubisD102–820%-0.01
ancientA53–260%-0.04
train—10–10%-0.02
vertigo—10–10%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

58Matches
57%Win rate
0.79Avg K/D
68.4ADR
38%Headshot %

Clutches & streaks

27%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1338%0.6812.9
Inferno1182%0.7512.1
Dust2944%0.8111.6
Overpass475%0.8813.5
Nuke3100%1.0716.0
Train1100%0.7911.0
Ancient1100%1.1425.0
Anubis1100%2.7511.0

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.

13.5%Headshot accuracy
32.2%Accuracy (enemy spotted)
31.3%Spray accuracy
67.3%Counter-strafing
10.7°Preaim
622msReaction time
58.8%T opening success
34.8%CT opening success
0.69Enemies flashed / flash
4.8%Flash assists
13.37HE damage / grenade
9.02Flashes / 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 13.5173% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 34.7607% — below the 40% mark we flag

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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–12-0.0322%3 Nov →
cache13–11-0.0324%2 Nov →
cache15–15-0.0316%1 Nov →
mirage9–13-0.036%25 Oct →
nuke7–13-0.0615%24 Oct →
nuke7–130.0315%24 Oct →
nuke15–150.0212%18 Oct →
mirage15–15-0.039%14 Oct →
dust29–130.0116%14 Oct →
cache8–13-0.025%11 Oct →
nuke13–3-0.084%11 Oct →
dust213–5-0.0214%11 Oct →
dust28–130.0212%11 Oct →
ancient13–5-0.0423%11 Oct →
cache13–110.0513%10 Oct →
inferno7–130.0214%10 Oct →
cache9–3-0.0340%10 Oct →
inferno9–13-0.0612%10 Oct →
dust213–3-0.024%10 Oct →
dust213–6-0.016%10 Oct →
dust22–13-0.087%8 Oct →
cache13–6-0.0119%8 Oct →
dust216–12-0.0624%5 Oct →
nuke5–13-0.0412%5 Oct →
nuke5–13-0.0613%5 Oct →
mirage13–10-0.0210%4 Oct →
ancient13–8-0.0313%4 Oct →
nuke13–11-0.0511%4 Oct →
cache13–3-0.028%4 Oct →
dust27–13-0.049%4 Oct →
anubis13–00.1012%4 Oct →
inferno13–11-0.0410%4 Oct →
nuke6–13-0.035%4 Oct →
mirage10–130.0313%4 Oct →
dust29–13-0.009%4 Oct →
inferno10–13-0.069%1 Oct →
cache15–15-0.0714%27 Sept →
nuke13–3-0.027%27 Sept →
nuke16–12-0.056%27 Sept →
cache9–13-0.0112%27 Sept →
dust22–13-0.0539%27 Sept →
dust213–9-0.0111%27 Sept →
mirage13–8-0.0211%27 Sept →
inferno13–20.1312%27 Sept →
mirage9–13-0.083%20 Sept →
inferno13–30.0412%20 Sept →
ancient13–9-0.0124%12 Sept →
inferno7–13-0.0010%12 Sept →
cache7–130.0213%10 Sept →
inferno15–15-0.0214%10 Sept →
inferno13–8-0.0215%8 Sept →
mirage10–13-0.0418%8 Sept →
inferno13–9-0.017%8 Sept →
dust210–13-0.075%8 Sept →
mirage7–13-0.086%8 Sept →
ancient15–15-0.014%8 Sept →
anubis3–130.0215%8 Sept →
nuke14–16-0.086%7 Sept →
inferno13–11-0.067%7 Sept →
anubis7–13-0.0414%7 Sept →
nuke13–11-0.0615%6 Sept →
dust215–150.0110%3 Sept →
dust27–130.0315%3 Sept →
cache16–130.0516%3 Sept →
cache3–13-0.0120%3 Sept →
anubis13–11-0.079%3 Sept →
nuke13–7-0.096%1 Sept →
mirage5–13-0.0420%1 Sept →
anubis11–130.018%30 Aug →
inferno5–13-0.048%30 Aug →
train10–13-0.0214%29 Aug →
vertigo7–13-0.009%29 Aug →
anubis11–130.0218%28 Aug →
inferno13–4-0.0318%28 Aug →
cache10–50.0216%28 Aug →
mirage13–3-0.007%28 Aug →
dust215–15-0.048%27 Aug →
anubis9–13-0.028%25 Aug →
mirage13–8-0.0221%25 Aug →
mirage11–130.1012%25 Aug →
anubis6–13-0.0316%25 Aug →
dust213–70.0712%25 Aug →
mirage6–13-0.065%25 Aug →
dust214–160.0113%25 Aug →
dust25–13-0.0513%25 Aug →
mirage6–13-0.0310%24 Aug →
inferno13–7-0.0115%24 Aug →
inferno11–13-0.0614%23 Aug →
anubis13–16-0.078%23 Aug →
nuke16–13-0.0411%23 Aug →
nuke13–16-0.076%20 Aug →
cache13–11-0.088%20 Aug →
ancient7–13-0.1011%20 Aug →
inferno5–13-0.0212%20 Aug →
mirage6–130.0114%20 Aug →
anubis8–13-0.0110%20 Aug →
nuke13–8-0.0411%20 Aug →
inferno13–6-0.0313%19 Aug →
nuke13–60.018%19 Aug →
inferno13–9-0.0612%19 Aug →

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 →

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