B1mSe

B1mSe — CS2 Stats

76561198120703977[U:1:160438249]Steam profile ↗✓ No bans

1,085Tracked matches62%Win rate2022Tracked since
2,771Hours in CS15Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+13Tracked matches · now 1,085
+6.9ppWin rate · 55.2% → 62.1%

Rating over time

Premier CS Rating: 7,439 +2,821 23 Sept – 18 Sept · 38 days played
3,7268,321peak 8,32123 Sept18 Sept
8,321Peak Premier in tracked matches
58Days played since 2025-09-14

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate72.4%43.8%44.8%above
Shot accuracy10.0%12.0%12.4%2.4% short
Kill/death ratio2.561.021.03above
Match win rate42.9%44.7%45.2%2.3% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGB1mSeFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim50
Positioning56
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWLWLWWWLLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −3.5pp headshot accuracy · −28ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 8%
  • Avg reaction 569ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 594ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 608ms

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 (+1.7 against its own average).

Aim5.0
Utility4.3
Positioning5.6
Opening Duels3.5
Clutch2.4

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.0
Positioning5.6
Utility4.3
Mechanics4.0
Opening Duels3.0
Win Impact9.0

Composite 5.1/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time602ms−20ms
first ⅓ avg 623ms → last ⅓ avg 602ms
Headshot accuracy15.0%−1.2%
first ⅓ avg 16.2% → last ⅓ avg 15.0%

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

0.21Best match rating · 13–3 · nuke, 2 May →
42%Best headshot accuracy · 6–13 · dust2, 19 Jan →
422msFastest reaction time · 4–13 · office, 30 Oct →
13–2Biggest win · nuke, 18 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 74% over 19dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeS1914–574%0.04
mirageC167–944%-0.01
infernoB157–847%-0.02
officeA148–657%0.02
vertigoD82–625%-0.00
anubisA85–363%0.00
dust2D71–614%-0.02
ancient—42–250%-0.02
train—32–167%-0.01
overpass—30–30%-0.07
cache—11–0100%0.18
palacio—10–10%-0.10
agency—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

206,306Lifetime kills
2.56K/D · Top 1% of Level 5 players
3,881Matches
42.9%Match win rate
72.4%Headshot % · Top 1% of Level 5 players
10.0%Shot accuracy
8,895MVPs
2,689Hours (in match)
3,251Bombs planted
932Bombs defused

Most-used weapons

AK-47109,202
AWP12,825
Negev3,182
UMP-452,776
SSG 082,387
P902,243

Lifetime map wins

5,848inferno
5,250dust2
4,478nuke
2,810office
1,241vertigo
464lake
318cbble
292train

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

Faceit stats

Combat

63Matches
43%Win rate
0.80Avg K/D
70.2ADR
41%Headshot %

Clutches & streaks

32%1v1 clutch win
15%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2232%0.8012.9
Nuke1464%1.0314.9
Inferno1250%0.8112.3
Dust2825%0.539.1
Ancient3100%0.9920.3
Overpass20%0.274.5
Train10%0.699.0
Cache10%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.

14.9%Headshot accuracy
32.4%Accuracy (enemy spotted)
36.8%Spray accuracy
68.1%Counter-strafing
10.8°Preaim
591msReaction time
46.9%T opening success
37.1%CT opening success
0.67Enemies flashed / flash
1.3%Flash assists
8.81HE damage / grenade
3.05Flashes / 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 14.8965% — 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 3.0475 — 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 37.0851% — 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.

14% win rate across 7 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
inferno9–30.0915%27 Oct →
office1–13-0.045%25 Oct →
office13–60.115%25 Oct →
nuke2–11-0.0412%25 Oct →
vertigo13–30.044%25 Oct →
inferno13–80.1014%25 Oct →
train13–40.0217%25 Oct →
dust25–13-0.0520%24 Oct →
vertigo1–13-0.0514%24 Oct →
train8–00.0118%24 Oct →
cache13–110.1814%24 Oct →
mirage13–3-0.0119%7 Oct →
mirage9–13-0.0317%4 Jul →
dust213–11-0.0711%4 Jul →
dust213–16-0.0513%29 Jun →
anubis3–13-0.102%29 Jun →
mirage8–13-0.0116%19 Jun →
ancient13–80.0124%19 Jun →
inferno6–13-0.095%18 Jun →
nuke13–20.0238%18 Jun →
nuke13–40.0739%18 Jun →
nuke13–10-0.014%16 Jun →
dust210–130.0222%14 Jun →
nuke13–50.0824%3 Jun →
nuke13–10-0.0313%3 Jun →
mirage5–13-0.0120%3 Jun →
ancient15–15-0.0212%3 Jun →
vertigo13–80.1314%2 Jun →
inferno13–11-0.0315%1 Jun →
office13–90.038%29 May →
anubis13–100.1216%29 May →
mirage13–80.0219%28 May →
overpass6–13-0.068%24 May →
overpass2–13-0.0810%23 May →
anubis7–13-0.0410%22 May →
mirage13–20.0823%21 May →
mirage13–100.0218%18 May →
nuke13–80.0224%18 May →
dust23–13-0.0210%16 May →
nuke11–130.0322%16 May →
inferno13–11-0.0116%13 May →
inferno9–13-0.105%13 May →
nuke13–50.0814%13 May →
inferno4–13-0.0811%11 May →
nuke11–130.0322%10 May →
inferno5–13-0.0317%6 May →
anubis9–13-0.0523%2 May →
mirage9–13-0.0217%2 May →
nuke13–30.2118%2 May →
mirage3–13-0.0517%12 Mar →
inferno9–13-0.0316%11 Mar →
anubis16–120.0718%5 Mar →
mirage9–13-0.039%23 Feb →
anubis13–11-0.0213%22 Feb →
nuke13–110.0410%21 Feb →
vertigo9–13-0.0210%14 Feb →
anubis13–80.0417%11 Feb →
mirage5–13-0.077%4 Feb →
dust25–130.0124%4 Feb →
anubis13–80.0117%4 Feb →
inferno7–13-0.0919%29 Jan →
ancient9–13-0.0212%29 Jan →
office13–11-0.049%27 Jan →
inferno13–100.038%27 Jan →
nuke7–130.0512%19 Jan →
inferno8–130.0312%19 Jan →
dust26–130.0342%19 Jan →
mirage13–80.0610%19 Jan →
mirage13–90.0110%11 Jan →
mirage15–15-0.0011%11 Jan →
nuke12–120.0018%8 Jan →
office13–100.0931%8 Jan →
office12–120.0118%6 Jan →
nuke13–110.079%5 Jan →
office0–13-0.0929%5 Jan →
office13–110.0714%2 Jan →
inferno13–20.0812%2 Jan →
vertigo8–130.0521%28 Dec →
office11–130.0413%28 Dec →
nuke13–40.0311%20 Dec →
ancient13–9-0.0322%20 Dec →
nuke13–7-0.0233%20 Dec →
nuke13–40.0819%7 Dec →
inferno13–3-0.059%1 Dec →
office13–11-0.0326%1 Dec →
office4–130.0314%30 Oct →
vertigo5–13-0.055%22 Oct →
mirage5–13-0.0311%22 Oct →
vertigo7–13-0.0816%16 Oct →
office5–130.0227%15 Oct →
office13–10-0.069%10 Oct →
palacio1–13-0.109%10 Oct →
agency11–130.039%6 Oct →
train9–13-0.0513%2 Oct →
overpass7–13-0.0713%1 Oct →
inferno6–13-0.0512%23 Sept →
mirage13–10-0.0214%23 Sept →
vertigo8–13-0.0527%16 Sept →
nuke13–50.0421%14 Sept →
office13–70.1021%14 Sept →

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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