Torpid

Torpid — CS2 Stats

CA76561198149677213[U:1:189411485]Steam profile ↗✓ No bans

794Tracked matches40%Win rate2020Tracked since
4,321Hours in CS13Hrs last 2 wks
CSDB Rating4.3 DevelopingSupport
Premier CS Rating19,999Top 50% of 213,399 CSDB-tracked playersPurple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#85578 of 259995 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 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: 19,999 +3,398 5 Jul – 31 Oct · 18 days played
16,60122,253peak 22,2535 Jul31 Oct
22,253Peak Premier in tracked matches
47Days played since 2026-06-29

Premier CS Rating

  • 2,254 below peak (22,253)
  • -1,207 over 90 days
  • Next: Pink band at 20,000 — 1 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate57.5%46.8%48.2%above
Shot accuracy15.9%13.0%13.2%above
Kill/death ratio0.981.061.070.09 short
Match win rate34.6%46.3%46.9%12.3% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTorpidFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim54
Positioning43
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWWLLLWWLLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −5.3pp headshot accuracy · +82ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 794ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 657ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 616ms

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 (+1.4 against its own average).

Aim5.4
Utility4.9
Positioning4.3
Opening Duels0.4
Clutch4.4

Strong CT-side opener

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

iM

Plays most like iM 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim5.4
Positioning4.3
Utility4.9
Mechanics5.0
Opening Duels1.3
Win Impact1.7

Composite 4.3/10 (Developing), 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 rating-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time602ms−43ms
first ⅓ avg 645ms → last ⅓ avg 602ms
Headshot accuracy19.6%−2.6%
first ⅓ avg 22.2% → last ⅓ avg 19.6%

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 · 13–9 · nuke, 5 Jul →
100%Best headshot accuracy · 0–4 · inferno, 21 Jul →
375msFastest reaction time · 1–6 · mirage, 12 Jul →
13–1Biggest win · nuke, 2 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
5–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 65% over 17ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB199–1047%-0.01
dust2C198–1142%-0.02
cacheA1810–856%0.00
infernoS1711–665%-0.03
ancientD113–827%-0.00
nukeC94–544%-0.02
anubis—43–175%0.02
train—10–10%0.00
overpass—11–0100%-0.01
poseidon—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

151,641Lifetime kills
0.98K/D
9,908Matches
34.6%Match win rate
57.5%Headshot % · Top 25% of Level 8 players
15.9%Shot accuracy · Top 25% of Level 8 players
15,604MVPs
3,844Hours (in match)
5,301Bombs planted
1,538Bombs defused

Most-used weapons

AK-4774,640
AWP9,190
P2503,091
AUG2,433
FAMAS2,391
Knife2,017

Lifetime map wins

9,106inferno
8,575dust2
6,664train
4,201cbble
3,944nuke
1,428vertigo
154lake
134office

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

Faceit stats

Combat

1,536Matches
50%Win rate
1.04Avg K/D
71.7ADR
44%Headshot %

Clutches & streaks

42%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno10553%0.9513.8
Dust29755%0.9013.9
Cache8061%0.9715.3
Ancient6032%0.7913.3
Nuke3746%0.9314.5
Anubis1839%0.8714.6
Overpass1020%0.9014.3
Mirage838%0.7212.0

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.

18.6%Headshot accuracy
31.6%Accuracy (enemy spotted)
32.3%Spray accuracy
72.6%Counter-strafing
10.8°Preaim
586msReaction time
20.8%T opening success
40.7%CT opening success
0.55Enemies flashed / flash
5.2%Flash assists
5.66HE damage / grenade
10.06Flashes / 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 20.7872% — below the 40% mark we flag

Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–20.0110%31 Oct →
anubis13–70.1028%23 Oct →
train8–130.0020%23 Oct →
mirage5–13-0.086%22 Oct →
dust23–13-0.1114%22 Oct →
cache19–17-0.0213%20 Oct →
dust216–14-0.0216%18 Oct →
inferno7–13-0.0129%17 Oct →
inferno4–9-0.1124%17 Oct →
nuke8–13-0.1219%17 Oct →
inferno9–50.0919%17 Oct →
overpass9–5-0.0117%12 Oct →
inferno9–6-0.0720%12 Oct →
inferno7–90.0248%12 Oct →
dust213–9-0.0431%10 Oct →
cache3–9-0.0511%10 Oct →
nuke13–8-0.0024%10 Oct →
anubis13–7-0.0116%10 Oct →
cache13–110.0319%27 Sept →
mirage5–13-0.1325%27 Sept →
dust211–13-0.099%25 Sept →
cache10–13-0.0524%24 Sept →
ancient6–13-0.0417%23 Sept →
cache13–9-0.059%20 Sept →
dust220–22-0.0327%14 Sept →
cache11–13-0.039%13 Sept →
dust214–16-0.0219%13 Sept →
dust213–10-0.0124%7 Sept →
ancient9–13-0.0419%6 Sept →
cache8–13-0.0313%1 Sept →
cache13–90.0124%30 Aug →
mirage13–90.0224%30 Aug →
mirage8–13-0.0323%30 Aug →
cache9–130.0215%29 Aug →
inferno15–19-0.0517%29 Aug →
ancient18–220.0124%23 Aug →
cache11–13-0.0122%18 Aug →
inferno13–10-0.0125%17 Aug →
inferno5–13-0.0621%17 Aug →
ancient5–13-0.0020%17 Aug →
ancient12–16-0.0424%16 Aug →
nuke8–130.0125%15 Aug →
ancient11–130.0527%12 Aug →
inferno13–9-0.0515%12 Aug →
mirage16–130.0229%11 Aug →
ancient13–70.0113%9 Aug →
mirage13–70.0328%9 Aug →
inferno13–10-0.0619%9 Aug →
mirage6–13-0.0523%8 Aug →
dust213–60.0525%3 Aug →
dust213–80.0312%2 Aug →
cache13–60.0021%2 Aug →
anubis16–14-0.0220%2 Aug →
nuke13–10.0523%2 Aug →
mirage14–16-0.0119%2 Aug →
dust213–4-0.0116%2 Aug →
poseidon3–9-0.0431%29 Jul →
cache6–110.0827%27 Jul →
mirage12–16-0.0315%26 Jul →
cache13–50.0923%26 Jul →
ancient13–100.0728%26 Jul →
dust22–13-0.0726%26 Jul →
inferno13–70.0130%26 Jul →
dust213–80.0223%26 Jul →
dust213–16-0.0227%26 Jul →
mirage5–6-0.0650%23 Jul →
inferno13–90.0220%22 Jul →
anubis7–130.0223%22 Jul →
inferno13–9-0.0420%21 Jul →
inferno0–4-0.01100%21 Jul →
ancient13–90.0622%20 Jul →
nuke13–60.0325%20 Jul →
mirage13–90.0426%19 Jul →
mirage4–130.0236%18 Jul →
dust28–13-0.0329%18 Jul →
mirage13–60.0417%18 Jul →
cache13–30.0116%18 Jul →
dust27–13-0.0715%16 Jul →
nuke1–13-0.1022%12 Jul →
mirage1–6-0.0614%12 Jul →
cache6–13-0.0517%12 Jul →
ancient10–13-0.0418%12 Jul →
inferno13–10-0.0415%12 Jul →
cache13–80.0716%12 Jul →
cache13–4-0.0116%12 Jul →
dust212–20.0812%11 Jul →
mirage13–9-0.0121%11 Jul →
mirage13–80.0218%11 Jul →
nuke10–13-0.0421%11 Jul →
ancient6–13-0.0417%9 Jul →
mirage13–90.0921%9 Jul →
nuke13–90.1314%5 Jul →
dust22–120.0218%5 Jul →
mirage11–13-0.0220%5 Jul →
mirage13–100.0018%5 Jul →
nuke3–8-0.1233%4 Jul →
dust25–13-0.0026%4 Jul →
dust27–13-0.0412%4 Jul →
inferno16–140.0012%4 Jul →
inferno13–7-0.0825%29 Jun →

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 →

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