Dr. Pipe, PhD — CS2 Stats

76561198155807272[U:1:195541544]

632Tracked matches72%Win rate2020Tracked since
1,004Hours in CS
CSDB Rating5.8 SolidHybrid Rifler
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 medianLevel 3 medianvs Level 3
Headshot rate34.0%42.1%42.1%8.1% short
Shot accuracy17.1%12.9%12.1%above
Kill/death ratio1.111.000.99above
Match win rate41.1%42.9%43.9%2.8% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDr. Pipe, PhDFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning54
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY55396Last 10055%Win rateWWWLLWLWLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim6.5
Aggression7.3
Utility3.2
Positioning5.4
Opening Duels2.8

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.

Your pro match

b1t

Plays most like b1t 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 605ms 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

Aim6.5
Positioning5.4
Utility3.2
Mechanics7.0
Opening Duels2.8
Win Impact10.0

Composite 5.8/10 (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+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time602ms−68ms
first ⅓ avg 670ms → last ⅓ avg 602ms
Headshot accuracy13.0%−2.3%
first ⅓ avg 15.3% → last ⅓ avg 13.0%

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 — dust2 4–0
131Biggest win — dust2
8Longest win streak
W3Current streak
106In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 67% over 6nukeWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
ancientA1710759%0.01
nukeC1771041%-0.02
infernoB179853%0.00
dust2B147750%0.02
overpassC94544%-0.01
cacheS64267%0.03
anubisS64267%0.03
mirageS64267%0.00
train42250%-0.01
vertigo330100%0.02
office110100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,400Lifetime kills
1.11K/D · Top 50% of Level 2 players
2,379Matches
41.1%Match win rate
34.0%Headshot %
17.1%Shot accuracy · Top 25% of Level 2 players
4,333MVPs
1,004Hours (in match)
1,710Bombs planted
476Bombs defused

Most-used weapons

AK-4714,013
AWP6,943
Negev1,475
SSG 081,228
P901,203
MP7936

Lifetime map wins

9,435dust2
1,935nuke
1,903inferno
590vertigo
333train
157office
56lake
30italy

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

Faceit stats

Combat

26Matches
46%Win rate
1.04Avg K/D
ADR
33%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLW

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.

11.9%Headshot accuracy
38.2%Accuracy (enemy spotted)
41.2%Spray accuracy
81.4%Counter-strafing
11.5°Preaim
605msReaction time
39.1%T opening success
43.0%CT opening success
0.50Enemies flashed / flash
3.6%Flash assists
7.03HE damage / grenade
4.19Flashes / 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. 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 11.8885% — below the 15% mark we flag

    Aim Training
  2. 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 39.0758% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–110.037%16 Aug
dust24–00.2030%16 Aug
dust213–5-0.047%16 Aug
cache0–13-0.0317%16 Aug
ancient2–13-0.0522%15 Aug
nuke13–9-0.046%15 Aug
inferno8–13-0.0719%15 Aug
inferno13–4-0.0114%14 Aug
cache8–130.0117%10 Aug
cache13–40.077%19 Jul
ancient13–60.0915%1 Jul
nuke6–13-0.0213%17 Jun
anubis12–120.0112%27 May
cache13–11-0.0117%23 May
cache13–80.089%23 May
nuke11–13-0.0016%30 Apr
ancient13–6-0.0011%26 Apr
anubis13–30.1311%15 Apr
office13–80.020%3 Apr
dust213–10.0013%3 Apr
anubis16–140.0510%27 Mar
anubis16–120.0224%21 Mar
dust213–90.036%21 Mar
nuke13–40.048%20 Mar
overpass8–13-0.017%18 Mar
ancient13–9-0.029%15 Mar
inferno13–80.1014%13 Mar
dust29–13-0.009%12 Mar
nuke13–80.058%11 Mar
overpass16–14-0.0214%8 Mar
ancient13–2-0.0128%5 Mar
anubis13–11-0.0221%4 Mar
ancient13–9-0.048%23 Feb
nuke8–13-0.0317%20 Feb
inferno13–160.009%7 Feb
overpass7–130.0110%7 Feb
overpass13–20.0313%2 Feb
ancient13–60.0515%1 Feb
ancient6–130.0116%1 Feb
ancient3–130.037%1 Feb
dust29–13-0.0813%31 Jan
anubis8–13-0.005%28 Jan
mirage13–10.029%28 Jan
dust26–13-0.033%28 Jan
overpass9–13-0.0229%25 Jan
nuke6–13-0.0510%25 Jan
inferno13–70.0517%23 Jan
dust216–130.0615%23 Jan
inferno11–130.0024%19 Jan
ancient13–90.1013%19 Jan
inferno13–30.019%18 Jan
dust213–100.0419%18 Jan
ancient13–100.0719%16 Jan
dust216–140.0313%16 Jan
ancient11–130.0213%12 Jan
dust27–130.0711%12 Jan
ancient4–13-0.059%12 Jan
inferno15–150.0115%11 Jan
mirage5–130.0020%5 Jan
dust212–120.0516%2 Jan
dust29–13-0.0321%2 Jan
inferno12–12-0.0613%6 Dec
nuke3–13-0.0221%5 Dec
ancient13–70.0914%20 Nov
dust27–13-0.0417%19 Nov
nuke6–13-0.019%16 Nov
inferno7–9-0.026%15 Nov
inferno13–50.0650%8 Nov
mirage13–20.0628%7 Nov
train12–12-0.0512%31 Oct
ancient13–10-0.0320%28 Oct
mirage13–7-0.0113%28 Oct
overpass10–13-0.0512%27 Oct
inferno13–11-0.0614%26 Oct
nuke13–6-0.0618%26 Oct
ancient11–13-0.0217%26 Oct
inferno13–100.0418%16 Oct
mirage2–13-0.0012%16 Oct
nuke6–130.0019%16 Oct
train11–130.0017%12 Oct
inferno13–100.0213%12 Oct
nuke13–3-0.0112%10 Oct
train13–9-0.0315%10 Oct
inferno9–130.0118%9 Oct
mirage13–8-0.0619%4 Oct
nuke13–16-0.0215%4 Oct
nuke5–13-0.066%3 Oct
ancient6–13-0.0412%2 Oct
nuke13–11-0.067%26 Sept
nuke2–13-0.0016%25 Sept
overpass13–7-0.0421%25 Sept
inferno12–12-0.0115%25 Sept
overpass6–130.027%24 Sept
vertigo13–40.020%24 Sept
vertigo13–60.0112%20 Sept
vertigo13–80.0322%20 Sept
train13–110.0615%20 Sept
nuke13–9-0.0012%19 Sept
inferno13–60.0014%19 Sept
overpass16–14-0.046%19 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 →