Bullet Magnet

Bullet Magnet — CS2 Stats

76561198977954971[U:1:1017689243]Steam profile ↗✓ No bans

499Tracked matches46%Win rate2020Tracked since
1,170Hours in CS2Hrs last 2 wks
CSDB Rating5.5 SolidSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (56 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 499
−7.7ppWin rate · 53.8% → 46.2%

Rating over time

Premier CS Rating: 15,793 -351 15 Feb – 7 Sept · 13 days played
15,48216,948peak 16,94815 Feb7 Sept
16,948Peak Premier in tracked matches
44Days played since 2026-02-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=2,367), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 1 medianLevel 2 medianvs Level 2
Headshot rate37.3%40.9%41.3%4.0% short
Shot accuracy20.6%14.2%12.7%above
Kill/death ratio1.080.950.95above
Match win rate41.0%42.1%42.6%1.6% short

This profile matches the typical Level 2 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBullet MagnetFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim75
Positioning40
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY46–43–11Last 10046%Win rateLLWWLLTWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +0.2pp headshot accuracy · −44ms reaction

Win rate up 20pp 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 -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 628ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 641ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 662ms

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 (+2.6 against its own average).

Aim7.5
Utility4.8
Positioning4.0
Opening Duels0.0
Clutch0.0

Excellent counter-strafing

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim 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

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 666ms 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

Aim7.5
Positioning4.0
Utility4.8
Mechanics9.1
Opening Duels0.0
Win Impact3.7

Composite 5.5/10 (Solid), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time666ms+44ms
first ⅓ avg 622ms → last ⅓ avg 666ms
Headshot accuracy14.2%+1.8%
first ⅓ avg 12.4% → last ⅓ avg 14.2%

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

0.20Best match rating · 5–0 · mirage, 16 Feb →
30%Best headshot accuracy · 13–4 · overpass, 10 May →
406msFastest reaction time · 9–6 · inferno, 10 Mar →
13–0Biggest win · inferno, 12 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
2–4In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 67% over 6dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2111–1052%0.01
mirageB199–1047%0.04
nukeB136–746%0.01
dust2D102–820%0.01
vertigoC104–640%0.02
cacheA85–363%0.00
overpassS64–267%-0.02
trainC52–340%0.02
anubis—41–325%0.02
ancient—31–233%-0.02
poseidon—11–0100%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,541Lifetime kills
1.08K/D · Top 25% of Level 1 players
1,728Matches
41.0%Match win rate
37.3%Headshot %
20.6%Shot accuracy · Top 5% of Level 1 players
3,814MVPs
723Hours (in match)
2,392Bombs planted
367Bombs defused

Most-used weapons

Lifetime map wins

2,854inferno
2,321dust2
1,259nuke
1,113vertigo
1,021train
55office
50cbble
13lake

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

Faceit stats

Combat

317Matches
49%Win rate
1.02Avg K/D
71.0ADR
30%Headshot %

Clutches & streaks

0%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.1013.5
Cache250%1.2520.0
Inferno20%0.7613.5
Overpass10%0.508.0

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.

14.3%Headshot accuracy
40.4%Accuracy (enemy spotted)
38.9%Spray accuracy
90.7%Counter-strafing
9.7°Preaim
666msReaction time
23.0%T opening success
24.8%CT opening success
0.62Enemies flashed / flash
9.0%Flash assists
8.96HE damage / grenade
6.10Flashes / 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 14.3367% — below the 15% mark we flag

    Aim Training →
  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 22.9773% — 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 10 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
nuke11–13-0.035%1 Nov →
nuke9–13-0.059%1 Nov →
inferno13–60.0226%1 Nov →
train13–7-0.0214%19 Sept →
mirage7–13-0.0521%19 Sept →
nuke10–13-0.0010%16 Aug →
inferno12–120.0013%16 Aug →
cache13–110.0412%8 Aug →
dust25–130.0517%8 Aug →
cache13–70.0413%5 Jul →
cache12–12-0.0119%4 Jun →
anubis1–13-0.062%30 May →
overpass8–13-0.046%30 May →
inferno9–13-0.079%30 May →
inferno9–13-0.0814%24 May →
dust28–13-0.0127%19 May →
ancient9–13-0.0322%19 May →
cache13–50.1013%17 May →
cache13–5-0.038%17 May →
cache10–13-0.0519%17 May →
cache13–4-0.027%16 May →
overpass13–40.0130%10 May →
mirage13–10-0.0519%10 May →
dust212–120.0210%2 May →
cache6–13-0.0716%1 May →
vertigo13–40.0326%26 Apr →
train12–12-0.006%26 Apr →
mirage13–30.065%25 Apr →
nuke13–90.0314%18 Apr →
overpass7–13-0.0317%18 Apr →
vertigo13–70.029%12 Apr →
inferno13–00.0819%12 Apr →
mirage13–10-0.0110%11 Apr →
inferno13–00.000%11 Apr →
anubis10–130.0113%11 Apr →
inferno13–100.0318%9 Apr →
vertigo3–130.0914%9 Apr →
mirage1–30.1617%9 Apr →
mirage11–130.1116%7 Apr →
anubis13–70.1012%6 Apr →
ancient13–10-0.047%6 Apr →
train13–50.068%5 Apr →
train8–130.0016%5 Apr →
anubis6–130.0415%5 Apr →
dust25–130.0524%5 Apr →
nuke1–130.0211%5 Apr →
train12–120.089%5 Apr →
inferno12–12-0.0320%3 Apr →
mirage13–11-0.019%3 Apr →
inferno3–9-0.0721%3 Apr →
dust212–120.0114%29 Mar →
mirage13–60.039%29 Mar →
inferno13–100.1717%27 Mar →
mirage10–130.1511%26 Mar →
vertigo13–5-0.0414%24 Mar →
nuke4–11-0.0115%24 Mar →
dust213–20.0617%23 Mar →
vertigo13–80.029%23 Mar →
vertigo4–130.0527%23 Mar →
nuke13–30.1510%23 Mar →
vertigo12–12-0.0210%23 Mar →
mirage12–120.006%23 Mar →
inferno12–120.0215%23 Mar →
inferno4–9-0.0419%22 Mar →
mirage4–130.0322%22 Mar →
inferno13–10-0.0110%21 Mar →
dust211–13-0.0124%21 Mar →
vertigo9–130.018%19 Mar →
inferno9–40.0411%19 Mar →
inferno13–20.194%18 Mar →
mirage8–130.017%18 Mar →
overpass13–8-0.046%18 Mar →
vertigo12–120.0622%15 Mar →
mirage1–80.0224%15 Mar →
inferno8–130.018%14 Mar →
inferno13–100.0110%14 Mar →
mirage13–90.0911%14 Mar →
inferno9–60.0515%10 Mar →
inferno1–9-0.1317%10 Mar →
mirage7–13-0.0113%9 Mar →
nuke1–13-0.0921%9 Mar →
inferno7–130.0510%1 Mar →
nuke13–80.078%1 Mar →
dust28–13-0.0515%24 Feb →
mirage13–60.066%24 Feb →
nuke13–8-0.0115%21 Feb →
nuke6–13-0.017%21 Feb →
nuke13–6-0.0113%21 Feb →
inferno13–40.0219%21 Feb →
mirage13–10-0.0715%20 Feb →
poseidon9–60.0814%19 Feb →
ancient10–130.0016%19 Feb →
mirage7–13-0.0022%19 Feb →
dust29–13-0.0311%19 Feb →
nuke13–80.0516%16 Feb →
mirage5–00.208%16 Feb →
overpass3–00.017%16 Feb →
vertigo7–13-0.0812%16 Feb →
overpass13–8-0.035%15 Feb →
dust213–10-0.0419%15 Feb →

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 →

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