fear

fear — CS2 Stats

PRO“fEAR”FnaticUkraineIGLSettings & gear profile →

UA76561198132026180[U:1:171760452]Steam profile ↗✓ No bans

3,306Tracked matches63%Win rate2020Tracked since
21,972Hours in CS
CSDB Rating7.4 StrongSupport
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,412 → 3,412
+22Tracked matches · now 3,306
0.0ppWin rate · 63.3% → 63.3%

Rating over time

Faceit ELO: 3,412 +0 28 Aug – 16 Oct · 12 observations
3,4123,412peak 3,41228 Aug16 Oct
3,412Highest Faceit ELO seen on CSDB
28Days played since 2026-08-09

Faceit ELO

  • At peak — 3,412
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 88 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGfear30 DAYS0 ELOPEAK ELO3,412csdb.gg/stats

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Performance scores

Aim90
Positioning42
Utility81

0–100 skill scores via Leetify.

Recent form

HOT57–43Last 10057%Win rateWWLLLWWWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · +0.3pp headshot accuracy · −68ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 466ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 425ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 459ms

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 (+4 against its own average).

Aim9.0
Utility8.1
Positioning4.2
Opening Duels0.9
Clutch3.0

Sharp aimerHigh utility contribution

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

ZywOo

Plays most like ZywOo 64% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Utility. Utility score of 81 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 49 points — deaths here waste a strong aim profile.

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

Aim9.0
Positioning4.2
Utility8.1
Mechanics7.5
Opening Duels2.4
Win Impact9.4

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time468ms−37ms
first ⅓ avg 505ms → last ⅓ avg 468ms
Headshot accuracy14.4%−5.1%
first ⅓ avg 19.5% → last ⅓ avg 14.4%

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

0.17Best match rating · 13–1 · mirage, 20 Aug →
35%Best headshot accuracy · 9–13 · inferno, 27 Sept →
313msFastest reaction time · 13–6 · ancient, 28 Oct →
13–1Biggest win · inferno, 7 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
11–13In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 89% over 9dust2Weakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
ancientS2215–768%-0.02
cacheS2115–671%0.01
infernoS1711–665%-0.03
mirageD165–1131%-0.02
dust2D153–1220%-0.03
anubisS98–189%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

577,125Lifetime kills
0.88K/D
16,362Matches
53.5%Match win rate · Top 10% of tracked players
56.7%Headshot % · Top 10% of tracked players
20.6%Shot accuracy · Top 5% of tracked players
55,493MVPs
21,972Hours (in match)
23,280Bombs planted
4,753Bombs defused

Most-used weapons

AK-47256,145
AWP53,000
Glock-1813,881
Knife10,910
SG 5539,314
AUG8,138
P2508,024

Lifetime map wins

41,294dust2
23,806inferno
14,854train
10,877vertigo
4,879cbble
3,283nuke
88assault
54office

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

Faceit stats

Combat

10,931Matches
56%Win rate
1.20Avg K/D
78.5ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
24%1v2 clutch win
21Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage35359%1.2115.8
Ancient25062%1.1214.9
Anubis18059%1.1415.7
Dust211162%1.2316.1
Vertigo8559%1.2016.1
Overpass7262%1.0513.7
Inferno5171%1.0613.8
Train2861%1.0014.4

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.

14.7%Headshot accuracy
43.5%Accuracy (enemy spotted)
47.1%Spray accuracy
83.9%Counter-strafing
10.2°Preaim
471msReaction time
40.1%T opening success
39.1%CT opening success
0.68Enemies flashed / flash
10.1%Flash assists
10.92HE damage / grenade
19.30Flashes / 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 14.7038% — 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 39.0929% — below the 40% mark we flag

Spend your practice time on Dust 2

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 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–2-0.0613%30 Oct →
anubis13–8-0.0514%30 Oct →
mirage8–13-0.0211%30 Oct →
dust211–13-0.0618%30 Oct →
cache9–13-0.0219%30 Oct →
mirage13–7-0.043%29 Oct →
ancient13–90.0212%29 Oct →
ancient13–60.0226%28 Oct →
inferno13–11-0.096%28 Oct →
cache13–60.0018%27 Oct →
ancient13–6-0.0123%27 Oct →
cache11–130.0113%21 Oct →
dust217–19-0.0310%21 Oct →
inferno14–16-0.0810%20 Oct →
ancient10–13-0.0411%20 Oct →
cache13–100.0114%20 Oct →
cache13–4-0.0411%19 Oct →
inferno13–7-0.0417%19 Oct →
cache10–13-0.0222%16 Oct →
dust23–13-0.0710%16 Oct →
dust23–13-0.0710%16 Oct →
cache10–13-0.0222%16 Oct →
ancient13–50.0110%14 Oct →
dust213–11-0.0617%14 Oct →
dust213–11-0.0617%14 Oct →
ancient13–50.0110%14 Oct →
inferno13–9-0.0724%14 Oct →
ancient13–4-0.0513%14 Oct →
ancient13–4-0.0513%14 Oct →
inferno13–9-0.0724%14 Oct →
ancient10–13-0.0217%14 Oct →
dust210–13-0.019%14 Oct →
dust210–13-0.019%14 Oct →
ancient10–13-0.0217%14 Oct →
dust29–13-0.0624%10 Oct →
anubis13–40.0614%10 Oct →
cache13–10-0.0316%10 Oct →
ancient11–13-0.0414%9 Oct →
mirage13–5-0.0422%9 Oct →
cache19–17-0.0214%9 Oct →
inferno13–10.0912%7 Oct →
anubis14–16-0.0216%7 Oct →
ancient13–5-0.0019%7 Oct →
ancient3–13-0.0714%3 Oct →
dust26–13-0.0216%3 Oct →
cache13–50.0616%3 Oct →
inferno13–11-0.018%3 Oct →
cache13–90.0713%2 Oct →
mirage13–11-0.0522%2 Oct →
inferno11–13-0.0329%1 Oct →
mirage9–13-0.0215%1 Oct →
ancient13–11-0.0618%1 Oct →
cache5–13-0.043%27 Sept →
dust213–6-0.0514%27 Sept →
inferno9–130.0335%27 Sept →
cache13–90.0223%26 Sept →
inferno13–11-0.1114%26 Sept →
mirage11–13-0.044%25 Sept →
inferno6–13-0.0728%25 Sept →
cache13–8-0.0211%25 Sept →
inferno6–13-0.0728%25 Sept →
mirage11–13-0.044%25 Sept →
cache13–8-0.0211%25 Sept →
mirage13–80.0211%24 Sept →
cache13–90.0519%24 Sept →
anubis13–90.0421%23 Sept →
anubis13–90.0421%23 Sept →
ancient13–60.0222%23 Sept →
mirage20–220.0019%23 Sept →
ancient13–10-0.0121%23 Sept →
anubis13–100.0213%23 Sept →
ancient13–10-0.0121%23 Sept →
anubis13–100.0213%23 Sept →
mirage20–220.0019%23 Sept →
dust23–130.0326%23 Sept →
inferno13–50.0130%23 Sept →
mirage10–13-0.0212%23 Sept →
mirage10–13-0.0212%23 Sept →
dust23–130.0326%23 Sept →
inferno13–50.0130%23 Sept →
ancient14–16-0.078%6 Sept →
mirage10–13-0.0513%6 Sept →
inferno13–8-0.0117%6 Sept →
cache13–60.0622%6 Sept →
inferno9–13-0.0210%5 Sept →
cache13–110.0524%5 Sept →
ancient13–11-0.0516%5 Sept →
ancient8–13-0.0420%4 Sept →
cache13–30.0716%3 Sept →
anubis16–13-0.0516%3 Sept →
dust211–13-0.0414%3 Sept →
cache13–8-0.0428%30 Aug →
mirage10–13-0.0832%30 Aug →
anubis13–20.1631%30 Aug →
dust213–16-0.0217%23 Aug →
mirage13–10.1726%20 Aug →
ancient13–8-0.0121%9 Aug →
mirage13–16-0.0515%9 Aug →
cache10–13-0.0413%9 Aug →
inferno13–11-0.0124%9 Aug →

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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