basement specimen

basement specimen — CS2 Stats

76561198096935650[U:1:136669922]Steam profile ↗✓ No bans

1,394Tracked matches37%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating8,263Light Blue band · top ~63.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 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: 8,263 -5,197 11 Aug – 11 Oct · 24 days played
8,14113,726peak 13,72611 Aug11 Oct
14,174Peak Premier in tracked matches
836Highest Faceit ELO seen on CSDB
24Days played since 2026-07-05

Faceit ELO

  • 19 below peak (836)
  • Next: Level 4 at 901 — 84 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-20
  • Level 2 first seen 2026-09-20

Premier CS Rating

  • 5,463 below peak (13,726)
  • -3,265 over 30 days · declining
  • Next: Blue band at 10,000 — 1,737 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGbasement specimenPREMIER8,263 · Light Blue bandPEAK ELO836csdb.gg/stats

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Performance scores

Aim75
Positioning57
Utility41

0–100 skill scores via Leetify.

Recent form

COLD39–60–1Last 10039%Win rateWLLWLWLLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +5.8pp headshot accuracy · +22ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 611ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 645ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 634ms

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 against its own average).

Aim7.5
Utility4.1
Positioning5.7
Opening Duels2.0
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.

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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

Reaction time. 617ms 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

Aim7.5
Positioning5.7
Utility4.1
Mechanics8.3
Opening Duels2.9
Win Impact0.6

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time618ms−48ms
first ⅓ avg 665ms → last ⅓ avg 618ms
Headshot accuracy16.0%+0.6%
first ⅓ avg 15.5% → 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.

Personal bests

0.13Best match rating · 13–4 · mirage, 16 Aug →
42%Best headshot accuracy · 6–13 · dust2, 13 Sept →
453msFastest reaction time · 2–13 · ancient, 5 Sept →
13–2Biggest win · train, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 55% over 11infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeD217–1433%-0.03
ancientB199–1047%-0.03
anubisC146–843%-0.01
cacheD124–833%-0.03
mirageA116–555%-0.01
infernoD102–820%-0.02
dust2C94–544%-0.01
train—21–150%-0.02
vertigo—20–20%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

256Matches
48%Win rate
0.87Avg K/D
70.5ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
15%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient5149%0.8113.2
Anubis4646%0.8513.8
Mirage3644%0.8212.6
Nuke3453%0.7812.1
Inferno2162%1.0116.1
Dust21127%0.8912.8
Vertigo757%1.159.0
Overpass667%0.7412.0

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.

16.4%Headshot accuracy
36.2%Accuracy (enemy spotted)
33.9%Spray accuracy
87.4%Counter-strafing
8.0°Preaim
617msReaction time
38.3%T opening success
45.2%CT opening success
0.47Enemies flashed / flash
2.8%Flash assists
8.85HE damage / grenade
5.12Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4691 — below the 0.5 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 38.2616% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–14-0.0121%11 Oct →
anubis9–13-0.0214%11 Oct →
cache10–13-0.0615%10 Oct →
train13–20.0540%10 Oct →
cache3–13-0.0624%10 Oct →
anubis16–13-0.0013%10 Oct →
anubis6–13-0.0614%10 Oct →
nuke5–13-0.0714%9 Oct →
vertigo9–13-0.0524%9 Oct →
cache5–13-0.0510%9 Oct →
train7–13-0.0923%9 Oct →
nuke0–7-0.110%9 Oct →
inferno4–13-0.053%9 Oct →
mirage16–12-0.0117%4 Oct →
nuke13–11-0.0514%4 Oct →
mirage8–13-0.0513%4 Oct →
inferno1–9-0.1211%4 Oct →
cache10–130.0317%27 Sept →
anubis13–20.0514%27 Sept →
inferno12–160.0419%27 Sept →
mirage13–11-0.0312%26 Sept →
cache13–8-0.0214%26 Sept →
ancient13–11-0.0519%26 Sept →
inferno13–60.0326%20 Sept →
nuke10–130.015%20 Sept →
dust213–11-0.0316%20 Sept →
mirage11–13-0.0418%20 Sept →
mirage5–13-0.0517%18 Sept →
ancient2–13-0.0414%18 Sept →
anubis5–13-0.0520%18 Sept →
dust29–13-0.0115%18 Sept →
anubis13–80.048%18 Sept →
dust25–13-0.0426%18 Sept →
nuke16–13-0.008%13 Sept →
nuke13–100.0322%13 Sept →
ancient13–9-0.0217%13 Sept →
dust26–13-0.0242%13 Sept →
dust211–13-0.0126%13 Sept →
nuke6–130.0119%13 Sept →
ancient11–13-0.0518%11 Sept →
nuke10–13-0.0518%11 Sept →
ancient13–3-0.019%11 Sept →
ancient11–13-0.0915%6 Sept →
mirage5–13-0.0221%6 Sept →
cache13–20.0119%6 Sept →
ancient8–5-0.0212%6 Sept →
ancient2–13-0.0612%5 Sept →
cache9–13-0.0520%5 Sept →
anubis7–13-0.0719%5 Sept →
nuke8–13-0.0412%5 Sept →
ancient11–13-0.0216%5 Sept →
dust213–80.0625%5 Sept →
nuke10–13-0.0511%30 Aug →
ancient13–30.0313%30 Aug →
nuke13–110.0015%28 Aug →
ancient3–13-0.0215%28 Aug →
ancient13–40.0227%28 Aug →
cache6–13-0.0713%23 Aug →
ancient6–13-0.0215%23 Aug →
nuke11–13-0.027%23 Aug →
ancient13–10-0.0530%23 Aug →
vertigo3–9-0.0930%23 Aug →
anubis4–130.0224%21 Aug →
nuke13–11-0.0218%21 Aug →
nuke4–130.0014%21 Aug →
anubis13–3-0.0323%21 Aug →
dust213–80.0210%21 Aug →
nuke6–13-0.029%20 Aug →
anubis13–6-0.0413%20 Aug →
cache9–130.0114%19 Aug →
nuke12–160.0119%19 Aug →
dust213–6-0.0116%19 Aug →
mirage16–14-0.0221%19 Aug →
cache13–4-0.077%17 Aug →
mirage13–10-0.069%17 Aug →
nuke13–9-0.0418%17 Aug →
mirage9–130.0114%17 Aug →
inferno6–13-0.0313%16 Aug →
anubis16–140.0218%16 Aug →
ancient1–13-0.1118%16 Aug →
mirage13–40.1320%16 Aug →
nuke7–13-0.0517%16 Aug →
cache13–10-0.0215%16 Aug →
ancient13–6-0.0316%14 Aug →
nuke7–13-0.0220%14 Aug →
ancient10–13-0.0517%14 Aug →
cache10–13-0.0313%14 Aug →
anubis10–130.0126%13 Aug →
ancient10–130.0216%13 Aug →
inferno3–12-0.0319%13 Aug →
inferno3–13-0.0610%13 Aug →
anubis10–13-0.0420%13 Aug →
inferno11–130.0027%13 Aug →
dust210–13-0.0119%12 Aug →
inferno11–13-0.0511%11 Aug →
nuke7–13-0.0611%11 Aug →
inferno13–50.0415%11 Aug →
anubis15–15-0.0220%11 Aug →
ancient13–70.0210%11 Aug →
nuke13–11-0.083%11 Aug →

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 →

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