bobijslv

bobijslv — CS2 Stats

LV76561199017777990[U:1:1057512262]Steam profile ↗✓ No bans

265Tracked matches45%Win rate2020Tracked since
684Hours in CS
CSDB Rating4.6 DevelopingSupport
Premier CS Rating18,509Purple band · top ~14.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Apr 2026 (186 days ago). Ranks are recorded once per day this page is viewed.

+113Premier CS Rating · 18,396 → 18,509

Rating over time

Premier CS Rating: 18,396 +1,872 27 Jan – 1 Apr · 21 days played
16,52421,062peak 21,06227 Jan1 Apr
21,100Peak Premier in tracked matches
28Days played since 2026-01-22

Premier CS Rating

  • 2,553 below peak (21,062)
  • -435 over 30 days · declining
  • Next: Pink band at 20,000 — 1,491 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate50.1%42.7%43.8%above
Shot accuracy17.0%11.3%12.0%above
Kill/death ratio0.950.991.020.06 short
Match win rate47.8%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbobijslvFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER18,509 · Purple bandcsdb.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

Aim46
Positioning42
Utility63

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLWLWWLLLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +4.2pp headshot accuracy · +5ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 27%
  • Avg reaction 684ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 24%
  • Avg reaction 634ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 631ms

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 (+2.2 against its own average).

Aim4.6
Utility6.3
Positioning4.2
Opening Duels1.8

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

NiKo

Plays most like NiKo 69% 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

Reaction time. 665ms 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

Aim4.6
Positioning4.2
Utility6.3
Mechanics6.4
Opening Duels1.2
Win Impact3.3

Composite 4.6/10 (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-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time690ms+31ms
first ⅓ avg 659ms → last ⅓ avg 690ms
Headshot accuracy21.6%−1.8%
first ⅓ avg 23.4% → last ⅓ avg 21.6%

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 · 13–4 · overpass, 9 Feb →
50%Best headshot accuracy · 4–13 · inferno, 22 Jan →
438msFastest reaction time · 13–7 · anubis, 16 Feb →
13–1Biggest win · dust2, 18 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 67% over 12mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB2413–1154%0.00
anubisC2310–1343%-0.00
ancientC146–843%0.01
nukeB136–746%0.00
dust2S128–467%0.00
overpassA74–357%-0.00
mirageD61–517%-0.03
vertigo—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,735Lifetime kills
0.95K/D
1,387Matches
47.8%Match win rate · Top 25% of Level 4 players
50.1%Headshot % · Top 25% of Level 4 players
17.0%Shot accuracy · Top 25% of Level 4 players
4,022MVPs
684Hours (in match)
2,235Bombs planted
367Bombs defused

Most-used weapons

Lifetime map wins

4,548inferno
2,056train
605nuke
543dust2
477vertigo
252cbble
4lake
3office

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.

21.3%Headshot accuracy
28.4%Accuracy (enemy spotted)
26.4%Spray accuracy
78.7%Counter-strafing
10.2°Preaim
665msReaction time
32.6%T opening success
36.8%CT opening success
0.70Enemies flashed / flash
5.6%Flash assists
7.61HE damage / grenade
11.89Flashes / 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. 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 32.5782% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.1021%1 Apr →
anubis13–90.0120%1 Apr →
inferno6–13-0.1144%1 Apr →
mirage13–50.0122%31 Mar →
anubis13–5-0.1127%8 Mar →
inferno7–13-0.0732%1 Mar →
dust25–13-0.0226%23 Feb →
ancient5–13-0.0623%23 Feb →
anubis7–13-0.0413%22 Feb →
nuke10–13-0.0417%22 Feb →
inferno8–13-0.0317%22 Feb →
inferno13–7-0.0322%22 Feb →
ancient13–10-0.0519%22 Feb →
anubis12–120.0017%22 Feb →
mirage3–13-0.0516%22 Feb →
nuke13–6-0.0120%21 Feb →
dust24–130.0821%21 Feb →
dust213–10-0.0119%20 Feb →
inferno6–13-0.0123%20 Feb →
inferno13–90.0528%19 Feb →
vertigo6–9-0.0137%18 Feb →
overpass5–9-0.1419%18 Feb →
nuke9–60.0126%18 Feb →
inferno0–9-0.310%18 Feb →
dust27–13-0.086%18 Feb →
mirage7–13-0.0129%18 Feb →
anubis13–50.0321%18 Feb →
inferno9–130.0930%18 Feb →
dust213–10.0626%18 Feb →
dust213–80.0020%17 Feb →
nuke7–13-0.0420%17 Feb →
ancient13–100.0216%17 Feb →
anubis9–130.0215%17 Feb →
anubis13–70.0315%16 Feb →
inferno13–70.0333%16 Feb →
ancient13–50.0121%16 Feb →
anubis10–130.0522%16 Feb →
ancient10–130.1128%15 Feb →
nuke11–13-0.0623%15 Feb →
anubis6–13-0.0323%15 Feb →
inferno10–130.0528%15 Feb →
overpass13–50.0532%15 Feb →
dust216–120.0221%13 Feb →
overpass13–9-0.0414%13 Feb →
inferno13–100.0321%13 Feb →
inferno13–50.1226%9 Feb →
nuke8–130.0126%9 Feb →
anubis13–60.0623%9 Feb →
overpass13–40.1428%9 Feb →
nuke13–16-0.0421%8 Feb →
inferno13–100.0828%8 Feb →
anubis8–13-0.0127%8 Feb →
nuke13–50.026%8 Feb →
ancient13–9-0.0315%8 Feb →
dust24–13-0.0518%8 Feb →
inferno9–130.0216%7 Feb →
inferno13–80.0631%4 Feb →
dust213–70.0420%4 Feb →
mirage13–16-0.0115%4 Feb →
ancient14–160.0129%3 Feb →
anubis11–13-0.0118%3 Feb →
anubis13–30.0729%3 Feb →
inferno13–100.0319%1 Feb →
nuke10–130.0321%1 Feb →
anubis4–13-0.0119%1 Feb →
anubis8–13-0.0215%31 Jan →
inferno13–80.0623%31 Jan →
inferno13–8-0.0214%31 Jan →
nuke13–100.0412%31 Jan →
overpass9–13-0.0319%31 Jan →
ancient8–130.0630%31 Jan →
anubis13–110.0320%31 Jan →
inferno13–30.0927%30 Jan →
overpass13–6-0.0220%30 Jan →
nuke11–130.0427%30 Jan →
anubis13–60.0620%30 Jan →
ancient13–30.1116%30 Jan →
ancient6–13-0.0522%29 Jan →
mirage15–150.0125%29 Jan →
anubis14–16-0.0318%28 Jan →
nuke13–90.0721%28 Jan →
ancient13–100.0713%27 Jan →
inferno9–130.0423%27 Jan →
anubis13–8-0.0534%27 Jan →
anubis11–13-0.0124%27 Jan →
inferno13–30.0117%27 Jan →
anubis13–10-0.0018%26 Jan →
ancient6–13-0.0715%26 Jan →
overpass15–150.0223%26 Jan →
ancient11–13-0.0441%23 Jan →
dust213–5-0.0233%23 Jan →
inferno0–13-0.1111%23 Jan →
anubis4–13-0.0633%23 Jan →
ancient6–130.0514%23 Jan →
nuke13–7-0.0224%23 Jan →
inferno13–20.0223%23 Jan →
anubis10–13-0.0130%22 Jan →
inferno4–13-0.0350%22 Jan →
dust213–110.0327%22 Jan →
dust213–6-0.0027%22 Jan →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.