BlueTesticle

BlueTesticle — CS2 Stats

76561199216292833[U:1:1256027105]Steam profile ↗✓ No bans

889Tracked matches40%Win rate2022Tracked since
1,486Hours in CS7Hrs last 2 wks
CSDB Rating2.6 LearningPositional Player
Premier CS Rating5,478Light Blue band · top ~76.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Aug 2026 (47 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 24 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 5,478 +1,627 28 Jun7 Aug · 6 days played
3,8445,478peak 5,47828 Jun7 Aug
5,478Peak Premier in tracked matches
38Days played since 2026-06-24

Premier CS Rating

  • At peak — 5,478
  • +1,514 over 30 days · improving
  • Next: Blue band at 10,000 4,522 to go
  • Reached: 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=13,407), 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 rate31.9%42.7%43.8%11.9% short
Shot accuracy1.6%11.3%12.0%10.5% short
Kill/death ratio0.720.991.020.29 short
Match win rate41.0%43.9%44.7%3.7% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGBlueTesticleFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER5,478 · Light Blue 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

Aim29
Positioning34
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY39538Last 10039%Win rateWWWLLWWLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.0pp headshot accuracy · −80ms 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

  • 32 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 544ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 611ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 651ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim2.9
Utility3.2
Positioning3.4
Opening Duels0.0
Clutch1.0

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

NiKo

Plays most like NiKo 73% 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. 632ms 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

Aim2.9
Positioning3.4
Utility3.2
Mechanics4.6
Opening Duels0.2
Win Impact1.7

Composite 2.6/10 (Learning), 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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time647ms−39ms
first ⅓ avg 686ms → last ⅓ avg 647ms
Headshot accuracy10.2%−0.6%
first ⅓ avg 10.8% → last ⅓ avg 10.2%

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

0.12Best match rating · 13–8 · italy, 28 Aug
26%Best headshot accuracy · 5–13 · cache, 24 Jun
438msFastest reaction time · 3–13 · office, 26 Jul
13–1Biggest win · cache, 18 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
54In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 70% over 10shelterWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheD1431121%-0.02
infernoD1331023%-0.03
dust2D113827%-0.03
nukeS107370%-0.02
anubisA95456%-0.02
ancientS96367%-0.00
mirageB63350%-0.04
shelterD51420%-0.05
officeD51420%-0.01
italyD51420%-0.01
train41325%-0.04
vertigo32167%-0.01
overpass31233%-0.03
fachwerk220100%0.02
boulder1010%-0.03

Across the last 100 tracked matches.

Lifetime stats

21,116Lifetime kills
0.72K/D
1,928Matches
41.0%Match win rate
31.9%Headshot %
1.6%Shot accuracy
2,422MVPs
706Hours (in match)
1,607Bombs planted
354Bombs defused

Most-used weapons

AK-471,930
P901,238
MAC-101,226
XM10141,029
AWP1,008

Lifetime map wins

2,850inferno
1,610nuke
1,553dust2
885italy
855train
593vertigo
197office
70lake

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
0.48Avg K/D
44.2ADR
24%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis450%0.657.5
Ancient2100%0.365.0
Inferno1100%0.4812.0
Nuke10%0.386.0

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.

10.0%Headshot accuracy
29.3%Accuracy (enemy spotted)
33.4%Spray accuracy
70.8%Counter-strafing
12.2°Preaim
632msReaction time
17.3%T opening success
31.7%CT opening success
0.28Enemies flashed / flash
2.6%Flash assists
5.73HE damage / grenade
4.94Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2018° — above the 12° mark we flag

    Aim Training
  2. 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 9.983% — below the 15% mark we flag

    Aim Training
  3. 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 0.2756 — below the 0.5 mark we flag

    Grenade Lineups
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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0618%17 Sept
anubis13–30.008%16 Sept
shelter13–60.0721%11 Sept
office8–130.016%11 Sept
dust29–13-0.0011%11 Sept
vertigo13–8-0.0315%11 Sept
nuke13–8-0.080%11 Sept
mirage6–13-0.0411%4 Sept
cache4–13-0.056%4 Sept
office10–130.0411%4 Sept
nuke13–5-0.0122%3 Sept
vertigo5–13-0.0214%3 Sept
inferno8–13-0.136%3 Sept
cache9–13-0.0711%29 Aug
nuke13–30.029%29 Aug
dust213–6-0.028%29 Aug
anubis9–13-0.0510%29 Aug
inferno13–10-0.037%28 Aug
overpass7–13-0.049%28 Aug
nuke6–13-0.043%28 Aug
shelter5–13-0.0413%28 Aug
cache13–70.0613%28 Aug
italy13–80.125%28 Aug
overpass3–13-0.055%27 Aug
train9–13-0.094%27 Aug
shelter9–13-0.0610%26 Aug
cache5–130.0216%26 Aug
mirage13–8-0.0414%25 Aug
cache3–13-0.026%25 Aug
inferno5–13-0.069%25 Aug
dust28–130.0317%25 Aug
mirage6–13-0.0211%25 Aug
dust212–12-0.0410%25 Aug
inferno12–12-0.0313%24 Aug
dust27–13-0.057%24 Aug
nuke13–11-0.007%23 Aug
inferno4–130.0315%22 Aug
inferno6–13-0.1012%22 Aug
office13–8-0.0116%22 Aug
cache9–13-0.0313%22 Aug
anubis8–13-0.127%22 Aug
boulder9–13-0.0311%22 Aug
cache9–13-0.0512%22 Aug
italy6–13-0.116%21 Aug
dust213–8-0.0416%16 Aug
inferno10–13-0.0311%16 Aug
train13–10-0.0318%16 Aug
anubis13–20.0710%16 Aug
italy11–13-0.0510%15 Aug
overpass13–30.0014%15 Aug
ancient13–30.078%7 Aug
vertigo13–90.026%2 Aug
dust211–100.004%1 Aug
cache8–13-0.034%1 Aug
fachwerk13–60.0813%1 Aug
office2–13-0.064%1 Aug
office3–13-0.034%26 Jul
dust23–13-0.0516%26 Jul
anubis13–2-0.033%25 Jul
ancient13–11-0.068%25 Jul
anubis13–80.0515%25 Jul
italy8–13-0.089%23 Jul
inferno7–9-0.0816%23 Jul
ancient12–12-0.0012%19 Jul
nuke12–120.007%19 Jul
ancient13–80.096%18 Jul
ancient13–90.033%18 Jul
mirage13–9-0.0512%18 Jul
mirage2–13-0.088%18 Jul
nuke13–4-0.0110%18 Jul
cache13–10.076%18 Jul
nuke6–130.0120%18 Jul
nuke13–9-0.048%18 Jul
mirage13–6-0.0015%18 Jul
shelter6–13-0.070%17 Jul
inferno13–4-0.077%17 Jul
dust215–15-0.0311%17 Jul
inferno15–150.0211%17 Jul
dust25–13-0.0120%17 Jul
inferno7–130.0010%16 Jul
ancient11–13-0.0614%15 Jul
nuke13–11-0.0510%15 Jul
anubis2–13-0.088%15 Jul
anubis3–13-0.0115%13 Jul
fachwerk13–11-0.0522%12 Jul
shelter4–13-0.113%12 Jul
cache13–70.0411%9 Jul
cache11–13-0.065%8 Jul
cache0–13-0.0612%8 Jul
dust28–13-0.0820%7 Jul
italy12–120.097%7 Jul
ancient13–9-0.115%6 Jul
ancient8–130.048%1 Jul
inferno10–130.0614%28 Jun
cache2–13-0.022%28 Jun
inferno9–00.029%28 Jun
train5–13-0.0216%27 Jun
train12–12-0.005%25 Jun
ancient13–8-0.048%25 Jun
cache5–13-0.0726%24 Jun

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 →