abg magnet

abg magnet — CS2 Stats

SD76561198345979047[U:1:385713319]Steam profile ↗✓ No bans

701Tracked matches45%Win rate2020Tracked since
718Hours in CS
CSDB Rating4.4 DevelopingSupport
Premier CS Rating15,020Purple band · top ~28.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 701 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,020 +2,572 2 Jul – 5 Nov · 41 days played
12,44816,388peak 16,3882 Jul5 Nov
17,004Peak Premier in tracked matches
44Days played since 2026-07-02

Premier CS Rating

  • 1,368 below peak (16,388)
  • -1,168 over 30 days · declining
  • -709 over 90 days
  • Next: Pink band at 20,000 — 4,980 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-05
  • Blue band first seen 2026-09-05

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 5 Nov 2026 and 14 Nov 2026.

Measured 5 Nov 2026 → 14 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate36.9%44.4%46.9%10.0% short
Shot accuracy9.5%11.9%13.0%3.5% short
Kill/death ratio0.871.031.080.21 short
Match win rate40.9%45.2%46.7%5.7% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGabg magnetPREMIER15,020 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning42
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLLLWWWWLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.7pp headshot accuracy · −27ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 541ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 532ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 546ms

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 (+1.1 against its own average).

Aim5.6
Utility4.2
Positioning4.2
Opening Duels0.8

Effective flashes

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

b1t

Plays most like b1t 87% 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

T-side openings. Opening success drops from 38% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim5.6
Positioning4.2
Utility4.2
Mechanics5.2
Opening Duels1.0
Win Impact3.3

Composite 4.4/10 (Developing), 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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time541ms−51ms
first ⅓ avg 592ms → last ⅓ avg 541ms
Headshot accuracy9.2%−1.7%
first ⅓ avg 10.9% → last ⅓ avg 9.2%

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

0.14Best match rating · 13–2 · vertigo, 7 Jul →
20%Best headshot accuracy · 13–9 · nuke, 2 Jul →
344msFastest reaction time · 13–2 · dust2, 25 Jul →
13–2Biggest win · dust2, 25 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
10–3In matches decided by ≤2 rounds
15Overtime games

Map breakdown

mirageBest map · 76% over 21infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2713–1448%-0.00
mirageS2116–576%0.01
nukeA149–564%-0.01
cacheS139–469%-0.01
infernoD122–1017%-0.01
ancientB115–645%-0.01
anubis—10–10%-0.09
vertigo—11–0100%0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,047Lifetime kills
0.87K/D
2,015Matches
40.9%Match win rate
36.9%Headshot %
9.5%Shot accuracy
3,573MVPs
718Hours (in match)
2,190Bombs planted
308Bombs defused

Most-used weapons

Lifetime map wins

6,764dust2
2,073inferno
1,287nuke
336train
95cbble
87vertigo
35office
20assault

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.

9.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
37.7%Spray accuracy
73.5%Counter-strafing
9.5°Preaim
547msReaction time
22.3%T opening success
38.3%CT opening success
0.75Enemies flashed / flash
3.6%Flash assists
5.01HE damage / grenade
5.81Flashes / 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 9.2409% — 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 22.2881% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno2–13-0.060%18 Oct →
ancient7–13-0.096%18 Oct →
nuke7–13-0.065%11 Oct →
cache16–140.0116%4 Oct →
inferno13–11-0.0115%30 Sept →
dust213–70.0311%27 Sept →
dust213–7-0.0016%27 Sept →
dust28–13-0.017%26 Sept →
ancient13–16-0.0312%20 Sept →
ancient13–16-0.009%16 Sept →
mirage13–80.0311%13 Sept →
mirage13–10-0.0310%13 Sept →
dust213–100.0417%13 Sept →
ancient13–11-0.023%12 Sept →
cache13–9-0.084%8 Sept →
anubis7–13-0.0911%17 Aug →
inferno15–15-0.0510%16 Aug →
nuke5–13-0.089%16 Aug →
inferno10–130.0114%16 Aug →
mirage5–13-0.0615%15 Aug →
inferno13–80.033%15 Aug →
mirage13–9-0.025%12 Aug →
nuke16–140.017%7 Aug →
dust213–6-0.0111%7 Aug →
mirage9–13-0.062%5 Aug →
ancient5–13-0.006%3 Aug →
mirage14–160.018%3 Aug →
inferno9–13-0.048%2 Aug →
inferno8–13-0.067%2 Aug →
inferno8–130.0315%2 Aug →
ancient15–150.048%2 Aug →
ancient13–9-0.0114%2 Aug →
nuke13–70.039%2 Aug →
nuke13–8-0.049%1 Aug →
nuke3–13-0.037%30 Jul →
mirage16–130.077%30 Jul →
mirage8–20.009%29 Jul →
dust213–60.0112%29 Jul →
mirage16–140.0912%29 Jul →
mirage10–130.027%28 Jul →
mirage16–13-0.015%28 Jul →
dust24–13-0.1010%27 Jul →
dust213–110.009%27 Jul →
cache13–4-0.0110%27 Jul →
inferno5–13-0.042%27 Jul →
nuke15–15-0.009%27 Jul →
cache9–13-0.0611%26 Jul →
nuke13–60.0412%26 Jul →
dust215–150.028%26 Jul →
mirage16–130.0512%26 Jul →
dust213–2-0.024%25 Jul →
dust25–130.0014%25 Jul →
inferno13–160.049%23 Jul →
dust213–2-0.0614%23 Jul →
mirage13–10-0.055%22 Jul →
dust213–20.095%21 Jul →
ancient13–70.0515%21 Jul →
dust22–13-0.049%20 Jul →
inferno8–13-0.028%20 Jul →
mirage13–110.0611%19 Jul →
cache9–13-0.0414%19 Jul →
dust211–130.036%19 Jul →
cache13–80.025%19 Jul →
mirage13–90.014%19 Jul →
dust210–13-0.015%17 Jul →
inferno9–130.0113%16 Jul →
cache3–13-0.0818%16 Jul →
dust213–10-0.0413%16 Jul →
dust26–13-0.1110%16 Jul →
dust27–130.0611%16 Jul →
dust27–13-0.0216%15 Jul →
mirage13–60.0517%15 Jul →
dust213–110.0212%15 Jul →
nuke13–100.0414%15 Jul →
cache13–110.039%15 Jul →
cache13–100.0414%15 Jul →
dust213–40.0911%14 Jul →
dust213–16-0.0310%14 Jul →
cache13–7-0.026%13 Jul →
ancient13–9-0.025%13 Jul →
cache13–70.0613%12 Jul →
dust213–30.1114%12 Jul →
nuke13–60.0418%12 Jul →
mirage8–130.006%12 Jul →
ancient6–13-0.024%11 Jul →
nuke5–13-0.0710%11 Jul →
mirage13–90.0411%10 Jul →
cache11–130.049%9 Jul →
nuke13–80.1310%9 Jul →
nuke13–6-0.039%7 Jul →
cache13–50.0112%7 Jul →
vertigo13–20.149%7 Jul →
mirage13–40.0410%7 Jul →
dust29–13-0.0012%6 Jul →
ancient13–11-0.017%5 Jul →
dust24–13-0.0812%5 Jul →
mirage13–60.005%5 Jul →
dust23–13-0.0519%5 Jul →
nuke13–9-0.0420%2 Jul →
mirage13–7-0.034%2 Jul →

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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