Namir @ BieberLAN51

Namir @ BieberLAN51 — CS2 Stats

DE76561198006210820[U:1:45945092]Steam profile ↗✓ No bans

3,136Tracked matches41%Win rate2022Tracked since
3,444Hours in CS18Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating8,366Light Blue band · top ~62.7% of ranked players (population est.)
FaceitLevel 2 · 711 ELOTop 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (8 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: 8,366 -3,599 18 Aug – 24 Sept · 21 days played
7,67512,244peak 12,24418 Aug24 Sept
12,334Peak Premier in tracked matches
711Highest Faceit ELO seen on CSDB
23Days played since 2026-08-18

Faceit ELO

  • At peak — 711
  • Next: Level 3 at 751 — 40 to go
  • Reached: Level 2

Premier CS Rating

  • 3,878 below peak (12,244)
  • -3,878 over 30 days · declining
  • Next: Blue band at 10,000 — 1,634 to go
  • Reached: Blue band · Light Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches89——
Win rate44%——
K/D1.08——
Headshot %28%——

Measured 4 Sep 2026 → 2 Oct 2026; no observation near 60 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 Level 2 among CSDB-tracked players (n=5,922), 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 2 medianLevel 3 medianvs Level 3
Headshot rate28.9%41.3%41.8%13.0% short
Shot accuracy9.6%12.7%12.2%2.6% short
Kill/death ratio1.030.950.98above
Match win rate45.1%42.6%43.3%above

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNamir @ BieberLAN51FACEITLevel 2 · 711 ELOSTANDINGTop 97.9% of rankedPREMIER8,366 · Light Blue bandPEAK ELO711csdb.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

Aim50
Positioning59
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateWWWLWLLWTL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +5.3pp headshot accuracy · −54ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 661ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 599ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 625ms

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 (+1.5 against its own average).

Aim5.0
Utility5.6
Positioning5.9
Opening Duels3.3
Clutch2.6

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

jL

Plays most like jL 74% 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 52% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 595ms 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

Aim5.0
Positioning5.9
Utility5.6
Mechanics5.4
Opening Duels3.6
Win Impact1.9

Composite 4.4/10 (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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time612ms+62ms
first ⅓ avg 549ms → last ⅓ avg 612ms
Headshot accuracy9.2%−0.4%
first ⅓ avg 9.6% → 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

0.21Best match rating · 9–5 · debris, 4 Sept →
31%Best headshot accuracy · 13–2 · cache, 5 Sept →
391msFastest reaction time · 3–13 · inferno, 29 Aug →
13–2Biggest win · shelter, 20 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
10–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 55% over 29cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2916–1355%-0.00
nukeD175–1229%0.01
ancientC114–736%-0.02
mirageD103–730%0.00
anubisB84–450%-0.02
cacheD82–625%-0.01
dust2B84–450%-0.01
debris—42–250%0.10
office—22–0100%0.02
shelter—11–0100%0.02
eldorado—11–0100%0.03
train—10–10%-0.03

Across the last 100 tracked matches.

Lifetime stats

88,388Lifetime kills
1.03K/D · Top 50% of Level 2 players
7,475Matches
45.1%Match win rate · Top 50% of Level 2 players
28.9%Headshot %
9.6%Shot accuracy
11,638MVPs
1,984Hours (in match)
5,434Bombs planted
1,642Bombs defused

Most-used weapons

AK-4715,334
AWP8,380
AUG3,284
P2503,198
MP93,143
SG 5532,239

Lifetime map wins

13,454inferno
8,967nuke
2,262vertigo
1,470train
1,349dust2
892office
294lake
193cbble

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

Faceit stats

Combat

9Matches
56%Win rate
1.09Avg K/D
75.6ADR
28%Headshot %

Clutches & streaks

33%1v1 clutch win
43%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage450%1.0415.8
Inferno367%0.8810.7
Dust2250%1.4820.0

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.

9.8%Headshot accuracy
33.2%Accuracy (enemy spotted)
35.9%Spray accuracy
74.5%Counter-strafing
10.1°Preaim
595msReaction time
52.4%T opening success
36.7%CT opening success
0.49Enemies flashed / flash
5.0%Flash assists
8.28HE damage / grenade
9.48Flashes / 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 9.8112% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4912 — below the 0.5 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 36.7357% — below the 40% mark we flag

Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno9–70.1013%25 Sept →
inferno13–11-0.0521%24 Sept →
nuke9–40.019%22 Sept →
nuke6–9-0.046%22 Sept →
nuke13–8-0.0414%22 Sept →
inferno4–13-0.069%21 Sept →
debris6–9-0.0515%20 Sept →
nuke9–40.195%20 Sept →
anubis15–15-0.0315%20 Sept →
mirage10–13-0.058%20 Sept →
nuke2–13-0.044%20 Sept →
cache13–160.009%20 Sept →
mirage13–70.052%20 Sept →
anubis12–120.014%20 Sept →
shelter13–20.0210%20 Sept →
inferno13–7-0.045%20 Sept →
inferno16–120.046%20 Sept →
nuke9–130.0811%20 Sept →
nuke6–130.053%20 Sept →
inferno16–140.019%19 Sept →
inferno13–70.069%19 Sept →
mirage7–13-0.0111%13 Sept →
nuke8–13-0.055%13 Sept →
dust214–16-0.0327%13 Sept →
ancient15–15-0.004%13 Sept →
inferno9–60.0221%13 Sept →
inferno2–13-0.055%13 Sept →
cache5–13-0.056%13 Sept →
anubis0–13-0.1019%13 Sept →
ancient3–130.0213%9 Sept →
ancient9–13-0.030%6 Sept →
dust213–70.067%6 Sept →
nuke6–90.050%6 Sept →
inferno13–30.1316%6 Sept →
anubis9–13-0.0314%6 Sept →
cache13–110.0611%6 Sept →
inferno14–16-0.0313%6 Sept →
inferno1–9-0.280%6 Sept →
cache7–13-0.023%6 Sept →
dust213–50.0218%6 Sept →
mirage6–13-0.0320%5 Sept →
ancient9–13-0.008%5 Sept →
anubis13–11-0.0310%5 Sept →
dust212–160.028%5 Sept →
cache13–20.0731%5 Sept →
office13–10-0.019%5 Sept →
office13–80.054%5 Sept →
ancient13–5-0.077%5 Sept →
mirage13–110.067%5 Sept →
dust216–120.0114%5 Sept →
debris9–50.2111%4 Sept →
dust213–11-0.0312%4 Sept →
inferno4–13-0.0213%4 Sept →
cache2–13-0.048%4 Sept →
mirage8–13-0.017%4 Sept →
inferno14–160.0111%4 Sept →
inferno10–130.007%4 Sept →
inferno9–60.1215%1 Sept →
inferno9–7-0.0510%1 Sept →
nuke8–80.0911%1 Sept →
nuke8–80.0011%1 Sept →
mirage7–130.0411%1 Sept →
nuke6–130.1017%1 Sept →
anubis13–90.0210%31 Aug →
inferno8–13-0.010%31 Aug →
mirage5–20.0015%31 Aug →
debris7–90.213%30 Aug →
inferno13–90.0414%30 Aug →
ancient13–100.0010%30 Aug →
dust215–15-0.0510%30 Aug →
nuke13–3-0.0325%30 Aug →
inferno13–80.007%30 Aug →
inferno10–13-0.0015%30 Aug →
eldorado9–40.0311%29 Aug →
debris9–20.025%29 Aug →
train6–13-0.034%29 Aug →
cache11–13-0.065%29 Aug →
inferno3–13-0.030%29 Aug →
mirage5–13-0.0111%29 Aug →
ancient11–13-0.065%29 Aug →
inferno9–130.016%29 Aug →
dust210–13-0.036%28 Aug →
inferno9–50.0313%26 Aug →
inferno9–7-0.0113%26 Aug →
nuke2–9-0.226%26 Aug →
nuke13–30.086%25 Aug →
inferno13–50.0611%24 Aug →
anubis16–140.0513%24 Aug →
inferno11–130.0612%24 Aug →
mirage7–13-0.0013%23 Aug →
nuke5–130.038%23 Aug →
ancient13–9-0.016%22 Aug →
ancient9–13-0.0712%22 Aug →
ancient10–13-0.0011%22 Aug →
nuke1–9-0.187%22 Aug →
inferno9–2-0.019%22 Aug →
inferno8–13-0.077%20 Aug →
anubis13–8-0.0210%20 Aug →
ancient13–100.0211%18 Aug →
cache7–13-0.0113%18 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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