twas

twas — CS2 Stats

76561198026186934[U:1:65921206]Steam profile ↗✓ No bans

3,025Tracked matches41%Win rate2020Tracked since
CSDB Rating7.7 StrongPositional Player
Premier CS Rating26,084Top 10% of 205,416 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12287 of 252708 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (6 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: 26,084 -873 28 Jun – 11 Oct · 4 days played
26,08427,378peak 27,37828 Jun11 Oct
27,378Peak Premier in tracked matches
32Days played since 2026-06-24

Premier CS Rating

  • 1,294 below peak (27,378)
  • -1,192 over 90 days
  • Next: Gold band at 30,000 — 3,916 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Share this profile

CSDB.GGtwasFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER26,084 · Red bandcsdb.gg/stats

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Performance scores

Aim88
Positioning80
Utility59

0–100 skill scores via Leetify.

Recent form

COLD45–48–7Last 10045%Win rateWLLWWLLLLT

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +8.5pp headshot accuracy · +5ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 31%
  • Avg reaction 608ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 30%
  • Avg reaction 586ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 26%
  • Avg reaction 584ms

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 (+1 against its own average).

Aim8.8
Utility5.9
Positioning8.0
Opening Duels7.0
Clutch7.2

Sharp aimerStrong CT-side openerStrong positioningReliable in 1v1s

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

s1mple

Plays most like s1mple 92% playstyle similarity

Most alike: utility contribution, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 575ms 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

Aim8.8
Positioning8.0
Utility5.9
Mechanics8.1
Opening Duels8.5
Win Impact1.9

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.05
Reaction time578ms−80ms
first ⅓ avg 658ms → last ⅓ avg 578ms
Headshot accuracy26.9%−0.3%
first ⅓ avg 27.2% → last ⅓ avg 26.9%

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

0.21Best match rating · 10–0 · inferno, 11 Oct →
67%Best headshot accuracy · 2–5 · inferno, 12 Sept →
359msFastest reaction time · 12–12 · train, 15 Aug →
13–0Biggest win · train, 30 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 75% over 8trainWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%0.03
mirageC176–1135%0.01
anubisC125–742%0.08
infernoC114–736%0.03
nukeC104–640%0.05
trainD82–625%0.03
cacheS86–275%0.04
ancientB63–350%0.04
vertigo—32–167%0.05
office—11–0100%0.05
overpass—11–0100%0.13
debris—10–10%-0.03
fachwerk—11–0100%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

361Matches
54%Win rate
1.39Avg K/D
101.2ADR
49%Headshot %

Clutches & streaks

56%1v1 clutch win
33%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Cache2471%1.5823.4
Mirage2442%1.1416.6
Nuke1354%1.7124.1
Anubis1331%1.0217.4
Dust21242%1.3319.4
Inferno875%1.5221.0
Ancient862%1.3017.4
Overpass771%1.8219.4

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.

24.6%Headshot accuracy
37.7%Accuracy (enemy spotted)
39.3%Spray accuracy
86.4%Counter-strafing
8.8°Preaim
575msReaction time
61.9%T opening success
65.9%CT opening success
0.58Enemies flashed / flash
6.6%Flash assists
9.48HE damage / grenade
9.86Flashes / match

Recommended for you

Spend your practice time on Train

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
train13–80.0529%14 Oct →
dust27–130.0029%14 Oct →
anubis13–160.0731%11 Oct →
dust216–120.0820%11 Oct →
inferno10–00.2144%11 Oct →
inferno7–130.0727%11 Oct →
anubis8–130.1237%11 Oct →
ancient7–130.0719%10 Oct →
dust25–13-0.0434%10 Oct →
nuke12–120.0228%10 Oct →
train6–130.0920%10 Oct →
train6–130.0228%10 Oct →
dust28–130.0313%6 Oct →
dust28–13-0.0112%4 Oct →
anubis8–130.0919%4 Oct →
dust213–100.0829%2 Oct →
mirage13–90.0119%28 Sept →
inferno12–12-0.0325%28 Sept →
nuke5–130.1431%28 Sept →
dust211–130.0019%28 Sept →
dust210–13-0.0316%17 Sept →
ancient13–10.0424%17 Sept →
cache13–20.0717%17 Sept →
anubis13–10.1633%17 Sept →
mirage13–100.0229%17 Sept →
nuke13–90.0515%17 Sept →
mirage4–13-0.0121%14 Sept →
train12–120.0234%13 Sept →
cache13–9-0.0219%13 Sept →
mirage8–13-0.0233%13 Sept →
mirage13–100.0331%13 Sept →
inferno2–5-0.0467%12 Sept →
dust214–160.1339%12 Sept →
nuke11–130.0324%12 Sept →
ancient9–130.0017%12 Sept →
mirage3–13-0.0216%12 Sept →
inferno13–60.0720%12 Sept →
ancient9–130.0827%12 Sept →
mirage5–13-0.0317%18 Aug →
dust213–6-0.0129%18 Aug →
anubis13–70.1424%16 Aug →
nuke13–60.0732%16 Aug →
office13–50.0529%16 Aug →
train11–130.0327%15 Aug →
train12–120.0421%15 Aug →
nuke4–130.0231%15 Aug →
mirage8–13-0.0118%9 Aug →
dust211–13-0.0231%9 Aug →
mirage13–80.0931%9 Aug →
inferno8–13-0.0424%9 Aug →
nuke13–100.0729%9 Aug →
nuke11–130.0422%9 Aug →
mirage13–50.1925%8 Aug →
inferno10–130.0618%8 Aug →
vertigo13–60.0122%3 Aug →
inferno13–11-0.0330%3 Aug →
dust216–130.0940%2 Aug →
anubis8–130.1228%2 Aug →
inferno13–8-0.012%2 Aug →
dust211–130.0833%2 Aug →
cache4–13-0.0120%1 Aug →
vertigo7–130.0733%1 Aug →
overpass13–50.1343%1 Aug →
vertigo13–50.0721%1 Aug →
dust213–90.0727%25 Jul →
anubis13–60.0740%25 Jul →
anubis7–13-0.0630%25 Jul →
dust213–11-0.0132%18 Jul →
cache13–80.0636%15 Jul →
debris6–9-0.0334%15 Jul →
mirage11–130.0221%15 Jul →
dust28–20.0939%15 Jul →
fachwerk13–60.0123%15 Jul →
anubis13–100.1628%10 Jul →
cache13–80.1024%10 Jul →
mirage8–13-0.0621%9 Jul →
cache7–3-0.0421%9 Jul →
nuke13–80.0313%4 Jul →
mirage13–10-0.0567%2 Jul →
dust29–13-0.0512%2 Jul →
mirage11–13-0.1114%30 Jun →
train13–00.0138%30 Jun →
dust213–10-0.0339%30 Jun →
dust213–10-0.0030%29 Jun →
mirage12–120.0518%29 Jun →
dust216–140.0134%28 Jun →
ancient13–10-0.0120%28 Jun →
anubis6–13-0.0423%28 Jun →
nuke5–13-0.0129%28 Jun →
inferno12–120.0436%28 Jun →
cache7–13-0.0212%28 Jun →
dust23–130.0928%28 Jun →
inferno10–130.0126%28 Jun →
anubis9–130.0526%27 Jun →
mirage4–13-0.0223%27 Jun →
ancient13–30.0327%27 Jun →
anubis13–30.0629%27 Jun →
train12–120.0035%25 Jun →
cache13–110.1319%25 Jun →
mirage9–130.0022%24 Jun →

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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