Sensei_oP

Sensei_oP — CS2 Stats

DE76561198035517708[U:1:75251980]Steam profile ↗✓ No bans

1,207Tracked matches48%Win rate2020Tracked since
3,139Hours in CS1Hrs last 2 wks
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating17,621Purple band · top ~18% of ranked players (population est.)
CSDB Leaderboard#12255 of 22450 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate38.3%44.1%47.2%8.9% short
Shot accuracy16.1%11.4%12.7%above
Kill/death ratio0.841.031.090.25 short
Match win rate28.3%45.2%46.6%18.3% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

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CSDB.GGSensei_oPPREMIER17,621 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning55
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateWWLWLLLWWL

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression7.8
Utility5.7
Positioning5.5
Opening Duels2.8
Clutch3.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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. 598ms 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

Aim6.4
Positioning5.5
Utility5.7
Mechanics6.7
Opening Duels2.8
Win Impact4.4

Composite 5.6/10 (Solid), 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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time593ms−3ms
first ⅓ avg 596ms → last ⅓ avg 593ms
Headshot accuracy16.0%−4.8%
first ⅓ avg 20.9% → last ⅓ avg 16.0%

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.

Highlights

0.20Best rating — cache 8–3
130Biggest win — overpass
7Longest win streak
W2Current streak
57In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 71% over 7cacheWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB22101245%0.01
nukeB20101050%0.01
ancientB178947%0.02
cacheC1771041%0.01
dust2A85363%0.02
overpassS75271%0.04
anubis41325%0.03
mirage42250%0.02
debris1010%-0.01

Across the last 100 tracked matches.

Lifetime stats

121,438Lifetime kills
0.84K/D
4,893Matches
28.3%Match win rate
38.3%Headshot %
16.1%Shot accuracy · Top 25% of Purple band
6,840MVPs
2,456Hours (in match)
3,596Bombs planted
798Bombs defused

Most-used weapons

AK-4741,165
AWP30,916
MP92,973
MAC-102,187
SSG 081,532
AUG1,345

Lifetime map wins

5,819inferno
2,647train
2,546dust2
1,972nuke
888vertigo
132cbble
62lake
56safehouse

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

Faceit stats

Combat

273Matches
51%Win rate
1.00Avg K/D
80.6ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3259%1.1815.3
Nuke2759%1.1515.1
Ancient2752%1.2316.1
Vertigo1560%1.0416.1
Mirage1436%1.0314.0
Anubis1155%1.0913.8
Dust2825%1.1114.6
Train475%1.0913.5

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.

15.8%Headshot accuracy
35.9%Accuracy (enemy spotted)
38.3%Spray accuracy
80.2%Counter-strafing
11.3°Preaim
598msReaction time
36.5%T opening success
45.6%CT opening success
0.52Enemies flashed / flash
9.1%Flash assists
10.91HE damage / grenade
7.06Flashes / 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 36.4822% — 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.

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust216–13-0.0313%20 Aug
anubis13–20.1216%20 Aug
ancient7–13-0.0420%30 Jul
nuke13–60.0321%30 Jul
nuke8–13-0.0410%30 Jul
mirage13–16-0.0410%28 Jul
mirage5–130.016%28 Jul
mirage13–60.0420%27 Jul
inferno13–100.0615%27 Jul
dust214–160.0016%26 Jul
cache13–90.049%26 Jul
ancient8–13-0.0118%26 Jul
inferno13–110.0314%25 Jul
ancient8–30.0417%24 Jul
dust211–130.0120%24 Jul
inferno7–13-0.0113%19 Jul
ancient15–15-0.0215%19 Jul
cache13–110.0319%19 Jul
cache4–13-0.0316%18 Jul
nuke13–60.0912%18 Jul
dust213–10-0.0024%18 Jul
ancient14–160.1217%18 Jul
cache10–13-0.0312%18 Jul
nuke13–90.0816%18 Jul
debris8–8-0.0113%15 Jul
inferno8–80.0222%15 Jul
inferno13–7-0.0118%5 Jul
inferno10–13-0.0831%4 Jul
nuke3–130.0420%28 Jun
cache5–130.0721%28 Jun
ancient13–70.0011%4 Jun
overpass8–13-0.047%4 Jun
overpass13–80.0619%3 Jun
inferno10–13-0.0616%3 Jun
ancient13–70.0516%3 Jun
nuke1–13-0.079%3 Jun
inferno13–20.0911%3 Jun
nuke13–90.0417%3 Jun
mirage13–60.0521%3 Jun
inferno6–13-0.0819%3 Jun
ancient13–60.0221%3 Jun
nuke11–13-0.0712%2 Jun
nuke13–30.0411%2 Jun
ancient6–13-0.069%2 Jun
inferno11–130.0211%2 Jun
anubis5–130.0423%30 May
inferno13–5-0.0117%30 May
inferno5–13-0.0615%30 May
inferno16–140.0517%29 May
ancient13–70.1022%29 May
ancient8–130.0418%28 May
nuke4–13-0.0216%28 May
nuke6–13-0.0412%26 May
inferno8–13-0.0021%26 May
overpass13–90.0514%26 May
nuke13–20.0922%26 May
inferno16–12-0.0314%25 May
ancient15–150.0616%25 May
overpass13–00.0315%25 May
inferno13–80.0818%25 May
overpass9–130.0019%25 May
ancient6–13-0.0221%25 May
anubis10–13-0.0118%21 May
cache10–130.0322%19 May
cache12–120.0123%19 May
inferno5–130.0110%19 May
cache3–13-0.1414%17 May
dust213–90.0221%8 May
cache13–6-0.0013%6 May
cache13–50.0217%6 May
cache8–30.2026%5 May
inferno7–130.0727%2 May
ancient13–6-0.0213%2 May
nuke13–11-0.0425%30 Apr
cache13–60.119%30 Apr
cache6–13-0.0030%29 Apr
cache13–30.0618%29 Apr
cache2–6-0.0414%29 Apr
cache6–13-0.068%29 Apr
cache10–13-0.0320%29 Apr
nuke2–13-0.0427%28 Apr
inferno13–10-0.0116%27 Apr
nuke11–13-0.0512%27 Apr
anubis7–13-0.0320%27 Apr
nuke6–130.0521%27 Apr
nuke7–13-0.0220%20 Apr
dust210–130.0121%16 Apr
overpass13–90.1220%16 Apr
nuke13–80.0725%14 Apr
ancient13–50.0021%14 Apr
nuke13–8-0.0117%10 Apr
overpass13–60.0313%8 Apr
dust213–90.1023%8 Apr
inferno13–110.0314%7 Apr
inferno14–160.0318%7 Apr
nuke13–80.0015%7 Apr
inferno6–13-0.0220%2 Apr
ancient13–20.1034%2 Apr
ancient5–13-0.0738%2 Apr
dust213–50.0355%31 Mar

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 →