SpecTreQu

SpecTreQu — CS2 Stats

PL76561198092578209[U:1:132312481]Steam profile ↗

2,254Tracked matches66%Win rate2021Tracked since
CSDB Rating6.3 SolidHybrid Rifler
FaceitLevel 9 · 2,216 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGSpecTreQuFACEITLevel 9 · 2,216 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning43
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY53434Last 10053%Win rateTWWLWWLLLL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.0
Aggression6.3
Utility4.5
Positioning4.3
Opening Duels1.9
Clutch4.0

Strong CT-side openerLimited 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

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 47% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms 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

Aim8.0
Positioning4.3
Utility4.5
Mechanics7.4
Opening Duels2.2
Win Impact10.0

Composite 6.3/10 (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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time637ms−31ms
first ⅓ avg 668ms → last ⅓ avg 637ms
Headshot accuracy25.0%+2.3%
first ⅓ avg 22.6% → last ⅓ avg 25.0%

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

0.24Best rating — inferno 9–0
130Biggest win — ancient
9Longest win streak
99In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 71% over 17dust2Weakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2D1861233%-0.01
ancientA1810856%0.01
infernoS1712571%0.04
mirageC156940%0.02
anubisS139469%-0.00
overpassA95456%0.06
nukeD62433%-0.01
cache32167%-0.00
vertigo110100%0.16

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

799Matches
52%Win rate
1.10Avg K/D
83.5ADR
55%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage23549%1.0716.4
Ancient15559%1.1316.7
Dust212146%1.1316.5
Anubis8556%1.0516.4
Inferno7445%0.9815.5
Nuke5248%1.0416.6
Overpass3563%1.2617.3
Cache1850%1.0918.3

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.

25.2%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.8%Spray accuracy
83.2%Counter-strafing
8.2°Preaim
634msReaction time
27.8%T opening success
47.3%CT opening success
0.57Enemies flashed / flash
6.2%Flash assists
10.32HE damage / grenade
2.79Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.7895 — below the 4 mark we flag

    Grenade Lineups
  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 27.8068% — 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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust215–150.0521%20 Aug
mirage13–9-0.0121%20 Aug
anubis13–100.0535%17 Aug
dust210–13-0.0131%16 Aug
ancient13–90.0137%15 Aug
inferno13–50.1231%11 Aug
inferno8–13-0.0122%11 Aug
dust212–16-0.0136%9 Aug
anubis1–13-0.0731%6 Aug
anubis10–130.0039%3 Aug
cache13–70.0830%3 Aug
anubis13–80.0422%2 Aug
cache13–10-0.0640%27 Jul
cache11–13-0.0313%8 Jul
dust213–10-0.0224%3 Jul
nuke7–130.0337%3 Jul
anubis13–6-0.0524%30 Jun
dust211–13-0.0514%30 Jun
ancient6–13-0.0012%30 Jun
mirage12–10.0319%30 Jun
anubis13–60.0826%30 Jun
nuke13–5-0.0130%30 Jun
ancient13–10-0.046%29 Jun
inferno3–00.1025%29 Jun
overpass8–30.0729%29 Jun
dust213–3-0.0422%29 Jun
mirage2–00.0150%29 Jun
mirage13–1-0.035%29 Jun
dust20–13-0.1020%29 Jun
anubis13–80.0220%29 Jun
ancient13–11-0.0114%28 Jun
dust213–110.0017%28 Jun
inferno7–130.0822%27 Jun
inferno3–90.0513%25 Jun
inferno9–7-0.0933%25 Jun
inferno9–00.0518%25 Jun
inferno9–0-0.0167%25 Jun
inferno9–00.2424%25 Jun
inferno9–20.0714%25 Jun
vertigo9–40.1616%25 Jun
inferno9–70.1133%25 Jun
inferno9–60.1116%25 Jun
nuke13–4-0.0833%25 Jun
mirage4–13-0.0721%24 Jun
mirage4–130.0523%24 Jun
anubis4–4-0.1133%24 Jun
overpass13–30.1316%24 Jun
dust215–150.0619%22 Jun
mirage7–130.0726%19 Jun
mirage13–10.1934%19 Jun
inferno13–90.0024%18 Jun
overpass15–150.0729%18 Jun
nuke10–130.0324%18 Jun
ancient7–130.0120%18 Jun
overpass13–100.0728%17 Jun
dust211–13-0.0140%17 Jun
mirage13–160.0022%17 Jun
overpass13–100.1523%17 Jun
overpass11–13-0.0616%16 Jun
ancient3–13-0.0422%15 Jun
dust213–50.0830%14 Jun
ancient13–90.0212%9 Jun
dust29–13-0.0431%8 Jun
mirage13–60.0221%8 Jun
anubis13–110.0123%3 Jun
mirage11–130.1030%3 Jun
mirage9–13-0.0618%3 Jun
mirage14–160.0218%31 May
ancient5–130.0625%31 May
nuke15–150.0322%30 May
ancient13–80.0525%30 May
overpass13–9-0.0321%30 May
overpass11–130.0622%30 May
anubis9–13-0.0316%30 May
anubis13–50.0230%30 May
ancient11–50.0920%30 May
dust24–13-0.0323%30 May
ancient13–110.0215%30 May
mirage10–130.0122%30 May
mirage8–130.0120%30 May
inferno10–13-0.048%30 May
inferno9–130.0120%28 May
anubis16–140.0519%28 May
dust213–30.0236%28 May
nuke0–13-0.0929%28 May
anubis7–13-0.0535%28 May
ancient13–160.0111%28 May
ancient11–13-0.0416%27 May
overpass11–130.0426%27 May
dust24–13-0.0323%27 May
ancient8–13-0.0316%27 May
dust27–13-0.0439%27 May
inferno13–8-0.0014%25 May
ancient13–40.1130%25 May
inferno13–3-0.0421%25 May
dust213–16-0.0334%24 May
dust213–10-0.0221%23 May
ancient13–00.0027%22 May
ancient9–130.0017%22 May
ancient13–10-0.0224%20 May

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
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