inspector_kk31

inspector_kk31 — CS2 Stats

76561199241257274[U:1:1280991546]Steam profile ↗✓ No bans

534Tracked matches67%Win rate2022Tracked since
1,122Hours in CS27Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating19,105Top 50% of 215,386 CSDB-tracked playersPurple band · top ~12.1% of ranked players (population est.)
CSDB Leaderboard#98904 of 261606 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 19,105 +2,390 30 Sept – 11 Nov · 24 days played
16,71519,105peak 19,10530 Sept11 Nov
19,400Peak Premier in tracked matches
34Days played since 2026-09-30

Premier CS Rating

  • At peak — 19,105
  • +1,624 over 30 days · improving
  • Next: Pink band at 20,000 — 895 to go
  • Reached: 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 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 rate42.3%43.8%44.8%2.5% short
Shot accuracy2.4%12.0%12.4%10.1% short
Kill/death ratio0.991.021.030.05 short
Match win rate50.2%44.7%45.2%above

This profile matches the typical Level 6 player on 1 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.GGinspector_kk31FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,105 · 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

Aim44
Positioning56
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY59–38–3Last 10059%Win rateWWWWLLWLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.9pp headshot accuracy · +55ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 585ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 558ms

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 (+2.2 against its own average).

Aim4.4
Utility5.1
Positioning5.6
Opening Duels1.1
Clutch2.0

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

iM

Plays most like iM 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. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim4.4
Positioning5.6
Utility5.1
Mechanics3.2
Opening Duels1.6
Win Impact10.0

Composite 4.8/10 (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-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time570ms+7ms
first ⅓ avg 564ms → last ⅓ avg 570ms
Headshot accuracy17.3%−1.0%
first ⅓ avg 18.3% → last ⅓ avg 17.3%

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

0.19Best match rating · 13–7 · nuke, 24 Oct →
34%Best headshot accuracy · 13–9 · nuke, 30 Sept →
422msFastest reaction time · 6–3 · dust2, 31 Oct →
13–0Biggest win · mirage, 8 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
7–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 79% over 19dust2Weakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB2614–1254%0.01
nukeS1915–479%0.03
ancientA169–756%-0.02
mirageS139–469%0.00
dust2C125–742%-0.01
anubisA85–363%0.02
cache—41–325%0.02
office—21–150%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,657Lifetime kills
0.99K/D
2,219Matches
50.2%Match win rate · Top 25% of Level 5 players
42.3%Headshot %
2.4%Shot accuracy
3,603MVPs
682Hours (in match)
2,347Bombs planted
366Bombs defused

Most-used weapons

Lifetime map wins

2,741inferno
2,663office
2,330dust2
1,992nuke
671vertigo
138train
132italy
70lake

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

Faceit stats

Combat

127Matches
49%Win rate
1.13Avg K/D
82.8ADR
48%Headshot %

Clutches & streaks

30%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4156%1.2115.9
Dust22945%1.0315.8
Nuke1953%1.3321.0
Ancient1450%1.0415.1
Anubis1346%1.0214.6
Inferno617%0.8614.8
Vertigo367%1.3822.7
Cache20%0.7411.0

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.

17.1%Headshot accuracy
28.6%Accuracy (enemy spotted)
29.0%Spray accuracy
64.4%Counter-strafing
9.3°Preaim
570msReaction time
33.1%T opening success
40.0%CT opening success
0.59Enemies flashed / flash
2.5%Flash assists
7.88HE damage / grenade
8.33Flashes / 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 33.0769% — 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.

42% win rate across 12 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
nuke13–40.1119%13 Nov →
ancient13–5-0.0618%12 Nov →
nuke13–8-0.0618%12 Nov →
nuke13–9-0.0613%11 Nov →
mirage4–13-0.0422%11 Nov →
dust26–130.0324%9 Nov →
ancient13–9-0.0319%9 Nov →
anubis11–13-0.0515%8 Nov →
mirage13–80.0113%8 Nov →
inferno9–5-0.0026%8 Nov →
nuke13–60.0925%7 Nov →
mirage1–13-0.098%7 Nov →
dust213–4-0.0513%7 Nov →
inferno13–70.0811%7 Nov →
inferno13–9-0.086%7 Nov →
anubis11–13-0.0316%7 Nov →
nuke13–8-0.0629%5 Nov →
dust213–11-0.0222%5 Nov →
inferno9–60.0712%4 Nov →
nuke13–40.0215%3 Nov →
office10–30.0020%3 Nov →
inferno8–80.0118%3 Nov →
dust26–30.0310%31 Oct →
nuke8–130.0625%29 Oct →
ancient16–120.0122%29 Oct →
inferno9–50.0615%29 Oct →
inferno3–13-0.0518%28 Oct →
dust213–9-0.0219%28 Oct →
inferno6–13-0.0119%28 Oct →
nuke7–9-0.0519%27 Oct →
dust213–10-0.0317%27 Oct →
inferno9–50.1520%26 Oct →
mirage13–11-0.039%24 Oct →
ancient13–20.079%24 Oct →
inferno6–13-0.0214%24 Oct →
anubis13–60.1920%24 Oct →
ancient11–13-0.0214%24 Oct →
nuke13–70.1927%24 Oct →
inferno9–40.0921%23 Oct →
mirage13–11-0.0416%22 Oct →
inferno8–80.0222%22 Oct →
ancient10–130.1127%21 Oct →
ancient8–13-0.0421%20 Oct →
inferno11–13-0.0317%20 Oct →
dust23–13-0.0517%20 Oct →
mirage7–13-0.0516%19 Oct →
anubis16–130.0526%19 Oct →
ancient13–9-0.0012%19 Oct →
inferno2–13-0.0812%19 Oct →
dust229–31-0.0224%18 Oct →
mirage3–130.0322%17 Oct →
inferno13–5-0.0516%17 Oct →
ancient8–13-0.0411%16 Oct →
inferno13–90.0021%16 Oct →
inferno13–30.0720%16 Oct →
mirage13–90.0518%16 Oct →
inferno10–13-0.0512%16 Oct →
inferno13–30.0329%16 Oct →
inferno8–13-0.0718%16 Oct →
ancient13–10-0.0711%16 Oct →
nuke13–50.0520%15 Oct →
anubis13–11-0.0020%15 Oct →
cache6–13-0.0511%15 Oct →
anubis13–7-0.0324%15 Oct →
dust26–13-0.0425%14 Oct →
anubis13–80.0016%14 Oct →
mirage13–5-0.0115%14 Oct →
inferno16–12-0.0017%14 Oct →
dust213–80.0221%14 Oct →
inferno12–16-0.0413%14 Oct →
nuke13–60.0022%14 Oct →
nuke13–40.0421%13 Oct →
inferno9–40.1227%13 Oct →
ancient2–13-0.089%13 Oct →
mirage13–00.1120%8 Oct →
cache9–130.0119%7 Oct →
nuke13–90.0618%7 Oct →
nuke9–13-0.079%7 Oct →
mirage13–50.0218%6 Oct →
dust214–160.0129%6 Oct →
ancient6–13-0.0821%6 Oct →
inferno13–16-0.0213%5 Oct →
inferno13–10-0.0526%5 Oct →
dust211–130.0828%5 Oct →
nuke13–11-0.0125%4 Oct →
ancient13–110.0413%4 Oct →
cache13–20.0815%2 Oct →
mirage16–120.0117%2 Oct →
ancient13–6-0.028%2 Oct →
office12–120.1119%2 Oct →
anubis6–130.0210%1 Oct →
mirage13–80.0719%1 Oct →
ancient10–130.0125%1 Oct →
nuke8–13-0.0117%1 Oct →
nuke13–110.0218%1 Oct →
ancient13–6-0.064%1 Oct →
nuke13–20.1422%1 Oct →
cache8–130.0514%30 Sept →
nuke13–90.0234%30 Sept →
inferno9–13-0.0115%30 Sept →

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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