大英警察入职场

大英警察入职场 — CS2 Stats

76561198177764598[U:1:217498870]Steam profile ↗✓ No bans

361Tracked matches72%Win rate2023Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating26,996Top 5% of 215,066 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)
CSDB Leaderboard#6792 of 261301 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (25 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: 26,996 +12,091 2 May – 18 Oct · 41 days played
14,69927,003peak 27,0032 May18 Oct
27,003Peak Premier in tracked matches
50Days played since 2026-05-02

Premier CS Rating

  • 7 below peak (27,003)
  • +2,388 over 30 days · improving
  • +5,327 over 90 days
  • Next: Gold band at 30,000 — 3,004 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-07
  • Purple band first seen 2026-09-07

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

Share this profile

CSDB.GG大英警察入职场PREMIER26,996 · Red bandcsdb.gg/stats

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Performance scores

Aim78
Positioning44
Utility60

0–100 skill scores via Leetify.

Recent form

HOT68–31–1Last 10068%Win rateWTLWWWWWWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −1.3pp headshot accuracy · +33ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 506ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 549ms

Last 20

  • 16–3–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 533ms

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 (+2.1 against its own average).

Aim7.8
Utility6.0
Positioning4.4
Opening Duels1.2

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 85% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Aim7.8
Positioning4.4
Utility6.0
Mechanics7.0
Opening Duels1.7
Win Impact10.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time526ms−57ms
first ⅓ avg 584ms → last ⅓ avg 526ms
Headshot accuracy19.7%−2.4%
first ⅓ avg 22.1% → last ⅓ avg 19.7%

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

0.15Best match rating · 13–7 · dust2, 22 May →
45%Best headshot accuracy · 8–13 · dust2, 6 Jul →
367msFastest reaction time · 13–9 · dust2, 19 Aug →
13–1Biggest win · mirage, 15 Aug →

Across the last 100 tracked matches.

Highlights

11Longest win streak
5–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 74% over 27ancientWeakest map · 53% over 17
MapGradePlayedRecordWin rateAvg rating
dust2S2720–774%0.02
infernoS2617–965%0.03
mirageS2417–771%0.03
ancientB179–853%0.00
cache—33–0100%0.03
anubis—21–150%0.11
overpass—11–0100%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (53% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.7%Headshot accuracy
36.6%Accuracy (enemy spotted)
38.1%Spray accuracy
81.5%Counter-strafing
11.0°Preaim
524msReaction time
35.4%T opening success
38.0%CT opening success
0.57Enemies flashed / flash
6.1%Flash assists
6.89HE damage / grenade
9.08Flashes / 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 35.3538% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno13–80.0217%18 Oct →
ancient15–15-0.0225%18 Oct →
mirage10–13-0.0520%18 Oct →
cache13–40.1115%11 Oct →
inferno13–90.0217%11 Oct →
inferno13–90.0526%9 Oct →
dust213–4-0.0029%8 Oct →
inferno13–9-0.0017%30 Sept →
mirage13–5-0.0514%24 Sept →
mirage13–10-0.0420%23 Sept →
inferno5–130.0123%23 Sept →
dust213–9-0.0322%23 Sept →
dust213–50.0728%19 Sept →
ancient13–70.0321%19 Sept →
inferno13–3-0.0118%14 Sept →
inferno6–13-0.095%1 Sept →
mirage13–30.0522%31 Aug →
inferno13–30.0131%31 Aug →
dust213–5-0.0118%27 Aug →
ancient13–70.0225%25 Aug →
dust213–6-0.0025%23 Aug →
inferno9–130.0718%23 Aug →
ancient1–13-0.0219%23 Aug →
ancient10–13-0.0119%22 Aug →
mirage13–70.0117%22 Aug →
dust211–13-0.0113%22 Aug →
mirage13–50.0215%22 Aug →
inferno2–3-0.0638%19 Aug →
dust213–9-0.0214%19 Aug →
dust213–6-0.0118%16 Aug →
mirage6–00.0313%16 Aug →
ancient13–60.0914%16 Aug →
mirage13–10.0217%15 Aug →
inferno13–3-0.018%15 Aug →
dust213–80.1113%12 Aug →
inferno13–30.1521%12 Aug →
inferno13–5-0.0117%8 Aug →
mirage13–10-0.0316%7 Aug →
dust213–40.0929%2 Aug →
mirage13–160.1026%2 Aug →
mirage11–13-0.0120%2 Aug →
inferno13–70.0726%2 Aug →
ancient8–13-0.0413%2 Aug →
ancient13–100.0216%1 Aug →
mirage13–50.0822%1 Aug →
inferno13–50.0920%1 Aug →
ancient13–6-0.0315%1 Aug →
cache13–6-0.016%1 Aug →
inferno7–13-0.0126%30 Jul →
dust210–130.0417%30 Jul →
mirage13–100.0114%30 Jul →
dust213–50.0615%29 Jul →
ancient13–50.0213%29 Jul →
mirage10–13-0.069%29 Jul →
dust213–10-0.0516%26 Jul →
inferno13–50.0528%26 Jul →
ancient11–13-0.0421%26 Jul →
dust212–160.0018%25 Jul →
dust213–80.0514%25 Jul →
mirage13–80.1316%25 Jul →
ancient13–16-0.0122%25 Jul →
inferno6–130.0420%22 Jul →
dust213–30.0736%20 Jul →
inferno11–13-0.0517%20 Jul →
inferno13–8-0.0415%6 Jul →
ancient5–130.0126%6 Jul →
dust213–70.0224%6 Jul →
dust28–13-0.0145%6 Jul →
dust213–90.0326%14 Jun →
dust216–14-0.0514%13 Jun →
ancient13–4-0.0022%12 Jun →
dust213–1-0.0620%12 Jun →
inferno13–110.0624%11 Jun →
mirage13–10.1524%11 Jun →
overpass13–9-0.0229%10 Jun →
cache13–11-0.0118%31 May →
inferno13–70.1421%31 May →
anubis13–100.1519%30 May →
ancient13–10-0.0227%30 May →
inferno6–13-0.0212%30 May →
mirage13–60.1224%30 May →
mirage6–13-0.0027%27 May →
dust213–16-0.0125%24 May →
mirage13–70.0415%24 May →
inferno13–60.1318%23 May →
mirage13–80.0121%23 May →
dust213–70.1525%22 May →
dust211–130.0717%21 May →
mirage13–40.0816%17 May →
ancient5–00.0628%17 May →
mirage12–16-0.0414%15 May →
dust26–13-0.0521%15 May →
inferno13–60.1020%10 May →
dust216–140.0825%9 May →
inferno5–130.0119%9 May →
anubis11–130.0823%7 May →
ancient14–16-0.0118%6 May →
dust213–70.0121%6 May →
mirage6–130.0534%3 May →
mirage13–110.1118%2 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
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.