Twins

Twins — CS2 Stats

SK76561199388059479[U:1:1427793751]Steam profile ↗✓ No bans

1,310Tracked matches56%Win rate2024Tracked since
2,016Hours in CS71Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating20,757Top 50% of 206,528 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#70934 of 253846 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (yesterday). 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: 20,757 -1,981 28 Aug – 18 Oct · 21 days played
20,31822,738peak 22,73828 Aug18 Oct
23,107Peak Premier in tracked matches
33Days played since 2026-08-28

Premier CS Rating

  • 1,981 below peak (22,738)
  • +172 over 30 days · steady
  • Next: Red band at 25,000 — 4,243 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.3%46.9%49.3%6.0% short
Shot accuracy0.1%13.0%13.4%13.2% short
Kill/death ratio0.821.081.120.30 short
Match win rate50.3%46.7%48.5%above

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTwinsPREMIER20,757 · Pink 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

Aim70
Positioning48
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY43–45–12Last 10043%Win rateLLLTWLWLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −2.4pp headshot accuracy · +11ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 510ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 530ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 524ms

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 (+1.2 against its own average).

Aim7.0
Utility3.8
Positioning4.8
Opening Duels1.5
Clutch4.4

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 93% 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

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

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

Aim7.0
Positioning4.8
Utility3.8
Mechanics5.9
Opening Duels3.5
Win Impact7.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time534ms+1ms
first ⅓ avg 533ms → last ⅓ avg 534ms
Headshot accuracy16.0%−4.1%
first ⅓ avg 20.1% → 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

0.08Best match rating · 12–12 · office, 6 Oct →
100%Best headshot accuracy · 0–5 · anubis, 20 Sept →
359msFastest reaction time · 13–6 · anubis, 12 Oct →
13–1Biggest win · train, 7 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L3Current streak
3–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 67% over 6vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
anubisA1810–856%-0.01
ancientB179–853%-0.01
infernoC177–1041%-0.01
cacheD92–722%0.01
nukeC73–443%0.01
dust2D72–529%-0.03
mirageC73–443%-0.00
trainS64–267%0.02
vertigoD51–420%0.01
boulder—21–150%0.00
office—20–20%0.02
rush_001—10–10%-0.13
overpass—11–0100%-0.02
italy—10–10%-0.07

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,716Lifetime kills
0.82K/D
2,762Matches
50.3%Match win rate · Top 25% of Pink band
43.3%Headshot %
0.1%Shot accuracy
6,409MVPs
1,361Hours (in match)
2,082Bombs planted
719Bombs defused

Most-used weapons

Lifetime map wins

4,018inferno
3,283dust2
2,767nuke
1,047vertigo
391train
185office
69italy
17lake

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

Faceit stats

Combat

71Matches
55%Win rate
0.99Avg K/D
74.2ADR
36%Headshot %

Clutches & streaks

42%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2471%1.0914.2
Anubis1553%1.0915.5
Ancient1050%1.0514.9
Dust2729%0.7911.3
Cache667%0.9415.8
Inferno520%0.6611.2
Nuke367%0.7713.0
Overpass10%0.436.0

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.

15.8%Headshot accuracy
34.2%Accuracy (enemy spotted)
31.0%Spray accuracy
76.5%Counter-strafing
7.6°Preaim
543msReaction time
50.0%T opening success
38.0%CT opening success
0.36Enemies flashed / flash
6.6%Flash assists
9.82HE damage / grenade
5.40Flashes / 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 0.3634 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.9644% — below the 40% mark we flag

Spend your practice time on Vertigo

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 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0022%18 Oct →
dust210–130.0214%18 Oct →
cache7–13-0.0423%18 Oct →
anubis15–15-0.0713%18 Oct →
anubis13–8-0.025%18 Oct →
anubis3–11-0.0116%17 Oct →
ancient13–7-0.0310%17 Oct →
dust211–13-0.0412%14 Oct →
ancient13–80.0223%14 Oct →
boulder13–60.0218%13 Oct →
nuke4–13-0.0516%13 Oct →
train3–80.0434%13 Oct →
mirage12–120.0423%13 Oct →
anubis13–6-0.0110%12 Oct →
ancient13–100.0417%12 Oct →
inferno13–110.0127%12 Oct →
cache11–130.0619%12 Oct →
anubis16–130.0118%9 Oct →
inferno13–11-0.003%9 Oct →
inferno5–11-0.0614%8 Oct →
inferno13–60.048%7 Oct →
train8–30.0211%7 Oct →
vertigo12–120.0418%7 Oct →
cache7–130.0117%7 Oct →
train13–1-0.0213%7 Oct →
train13–80.0515%7 Oct →
vertigo11–130.038%6 Oct →
office12–120.0818%6 Oct →
anubis13–7-0.0315%6 Oct →
cache12–12-0.0117%6 Oct →
vertigo2–13-0.0425%6 Oct →
train13–50.0714%5 Oct →
ancient6–13-0.0311%5 Oct →
inferno5–13-0.0811%5 Oct →
nuke13–70.0720%5 Oct →
inferno12–12-0.0211%5 Oct →
office3–13-0.0531%4 Oct →
ancient4–13-0.0625%4 Oct →
inferno13–9-0.0022%4 Oct →
ancient13–7-0.0723%4 Oct →
nuke12–12-0.0012%4 Oct →
anubis13–50.0614%2 Oct →
inferno12–120.0127%2 Oct →
anubis7–13-0.0612%2 Oct →
ancient13–30.0715%2 Oct →
ancient13–70.0319%2 Oct →
mirage10–13-0.0321%1 Oct →
boulder9–13-0.0127%30 Sept →
dust213–5-0.0520%30 Sept →
mirage4–13-0.0812%29 Sept →
nuke13–90.0617%29 Sept →
anubis13–90.0116%29 Sept →
mirage13–1-0.0130%29 Sept →
inferno10–13-0.0723%28 Sept →
inferno10–13-0.027%25 Sept →
train5–13-0.0318%25 Sept →
inferno13–100.0217%25 Sept →
cache13–50.0319%25 Sept →
rush_0016–8-0.130%25 Sept →
inferno8–13-0.0416%24 Sept →
dust21–13-0.044%23 Sept →
anubis3–13-0.0516%23 Sept →
inferno13–11-0.0314%23 Sept →
vertigo13–60.0313%23 Sept →
vertigo6–130.0215%23 Sept →
inferno13–10.0615%22 Sept →
ancient6–2-0.060%22 Sept →
cache13–60.0420%22 Sept →
inferno8–130.0015%22 Sept →
anubis16–120.0115%21 Sept →
anubis0–5-0.04100%20 Sept →
nuke8–13-0.0410%20 Sept →
anubis7–130.000%20 Sept →
cache12–120.0423%20 Sept →
anubis13–70.0520%20 Sept →
overpass13–10-0.027%19 Sept →
inferno6–9-0.0123%19 Sept →
mirage8–13-0.0015%13 Sept →
ancient13–60.0113%13 Sept →
dust212–12-0.0721%13 Sept →
dust23–130.0324%12 Sept →
mirage13–2-0.0230%12 Sept →
dust216–13-0.0311%12 Sept →
ancient14–16-0.0517%11 Sept →
anubis13–10-0.0420%11 Sept →
cache7–13-0.017%7 Sept →
ancient8–13-0.0226%6 Sept →
italy10–13-0.0711%5 Sept →
ancient9–130.0812%4 Sept →
ancient12–120.0121%4 Sept →
inferno15–15-0.0416%30 Aug →
anubis13–10-0.0119%29 Aug →
anubis1–7-0.0424%29 Aug →
ancient13–9-0.0315%29 Aug →
cache6–13-0.0236%29 Aug →
nuke13–5-0.0024%29 Aug →
ancient4–13-0.0714%29 Aug →
anubis14–160.0215%28 Aug →
mirage13–60.0715%28 Aug →
ancient7–13-0.0126%28 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.