TwoC No.7

TwoC No.7 — CS2 Stats

76561198001050501[U:1:40784773]Steam profile ↗✓ No bans

2,342Tracked matches37%Win rate2023Tracked since
1,970Hours in CS11Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
FaceitLevel 6 · 1,136 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,489 -253 25 Mar – 20 Jun · 20 days played
14,88016,707peak 16,70725 Mar20 Jun
16,707Peak Premier in tracked matches
1,136Highest Faceit ELO seen on CSDB
77Days played since 2026-02-19

Faceit ELO

  • At peak — 1,136
  • Next: Level 6 at 1,201 — 65 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches34——
Win rate62%——
K/D0.90——
Headshot %41%——

Measured 14 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,185), 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 6 medianLevel 7 medianvs Level 7
Headshot rate49.6%44.8%45.7%above
Shot accuracy1.5%12.4%12.7%11.2% short
Kill/death ratio1.171.031.05above
Match win rate44.8%45.2%45.7%0.9% short

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTwoC No.7FACEITLevel 6 · 1,136 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,136csdb.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

Aim71
Positioning47
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateLWWLLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −0.2pp headshot accuracy · +23ms 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 -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 706ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 635ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 624ms

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 (+1.3 against its own average).

Aim7.1
Utility4.5
Positioning4.7
Opening Duels1.4
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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Reaction time. 620ms 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

Aim7.1
Positioning4.7
Utility4.5
Mechanics7.5
Opening Duels1.7
Win Impact0.6

Composite 4.6/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time622ms+5ms
first ⅓ avg 617ms → last ⅓ avg 622ms
Headshot accuracy15.9%−0.3%
first ⅓ avg 16.2% → last ⅓ avg 15.9%

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

0.10Best match rating · 13–0 · ancient, 13 May →
36%Best headshot accuracy · 10–13 · anubis, 11 Jul →
391msFastest reaction time · 10–13 · ancient, 19 Aug →
13–0Biggest win · ancient, 13 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 71% over 17infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientC3212–2038%0.01
dust2B209–1145%-0.01
nukeS1712–571%0.00
anubisC114–736%-0.01
cacheC73–443%-0.03
infernoD61–517%-0.03
mirage—31–233%-0.01
vertigo—21–150%0.03
overpass—22–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,157Lifetime kills
1.17K/D · Top 25% of Level 6 players
2,625Matches
44.8%Match win rate
49.6%Headshot % · Top 50% of Level 6 players
1.5%Shot accuracy
4,907MVPs
1,106Hours (in match)
3,252Bombs planted
787Bombs defused

Most-used weapons

AK-4721,071
AWP5,295
Knife1,331
Tec-91,291
MP91,278

Lifetime map wins

3,994nuke
2,917vertigo
2,697dust2
1,693inferno
523train
8italy
7lake
6ar_shoots

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

Faceit stats

Combat

1,217Matches
49%Win rate
1.05Avg K/D
75.7ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient34854%1.0715.2
Anubis19850%1.0614.9
Nuke19654%1.1015.1
Dust217846%1.0015.0
Vertigo9059%1.2216.1
Mirage7327%0.8613.1
Inferno6138%0.9913.3
Overpass3142%0.9512.6

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.

15.9%Headshot accuracy
38.0%Accuracy (enemy spotted)
39.6%Spray accuracy
83.6%Counter-strafing
10.8°Preaim
620msReaction time
34.1%T opening success
39.8%CT opening success
0.42Enemies flashed / flash
6.1%Flash assists
7.97HE damage / grenade
9.30Flashes / 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 0.4163 — 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 34.1138% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0611%17 Oct →
anubis13–8-0.0222%17 Oct →
cache13–40.0213%17 Oct →
ancient7–13-0.062%15 Oct →
cache7–13-0.0316%13 Oct →
mirage13–9-0.0425%11 Oct →
anubis13–10-0.0720%7 Oct →
anubis5–13-0.0713%28 Sept →
nuke9–13-0.0115%8 Sept →
anubis10–13-0.0212%6 Sept →
ancient13–4-0.0312%6 Sept →
anubis13–100.0024%6 Sept →
dust27–130.0524%4 Sept →
nuke13–8-0.0311%3 Sept →
cache7–13-0.084%29 Aug →
vertigo8–130.0215%27 Aug →
ancient3–13-0.0422%27 Aug →
ancient10–120.0513%25 Aug →
ancient10–130.029%19 Aug →
vertigo13–40.0315%15 Aug →
ancient7–13-0.0223%15 Aug →
dust27–13-0.0111%9 Aug →
dust213–5-0.0516%25 Jul →
cache8–13-0.075%24 Jul →
nuke13–9-0.0616%19 Jul →
ancient6–13-0.0618%19 Jul →
cache13–50.0624%18 Jul →
anubis10–13-0.0336%11 Jul →
anubis8–13-0.0623%5 Jul →
inferno3–13-0.060%28 Jun →
ancient13–80.0516%27 Jun →
anubis13–80.0720%23 Jun →
dust213–110.0320%20 Jun →
cache13–11-0.0319%19 Jun →
dust213–90.035%14 Jun →
anubis12–160.0112%13 Jun →
nuke13–11-0.0223%10 Jun →
ancient9–130.0212%10 Jun →
nuke13–60.0626%7 Jun →
dust211–130.0119%30 May →
ancient8–13-0.0121%30 May →
cache6–13-0.0516%24 May →
nuke4–13-0.0424%23 May →
dust27–13-0.029%20 May →
ancient13–00.1022%13 May →
anubis12–160.0323%7 May →
dust25–130.0010%7 May →
ancient13–30.0430%5 May →
ancient13–60.0814%4 May →
ancient11–13-0.0615%29 Apr →
ancient13–80.0714%27 Apr →
dust28–13-0.1113%26 Apr →
nuke10–13-0.025%25 Apr →
mirage10–130.0515%20 Apr →
inferno9–13-0.0416%18 Apr →
dust213–80.014%16 Apr →
overpass13–60.0233%15 Apr →
ancient8–13-0.116%14 Apr →
dust213–90.0010%12 Apr →
ancient4–13-0.0525%12 Apr →
nuke10–13-0.036%11 Apr →
nuke13–100.0410%10 Apr →
ancient13–70.0510%10 Apr →
ancient13–00.0515%9 Apr →
inferno11–13-0.0116%8 Apr →
dust213–70.045%6 Apr →
ancient12–16-0.048%4 Apr →
inferno7–13-0.0610%29 Mar →
dust213–11-0.0429%29 Mar →
ancient9–130.0612%28 Mar →
ancient13–11-0.047%27 Mar →
ancient11–130.0416%26 Mar →
nuke13–80.0115%25 Mar →
dust27–13-0.0222%24 Mar →
ancient5–13-0.0519%24 Mar →
ancient14–160.0512%22 Mar →
nuke13–100.0615%20 Mar →
nuke13–50.0619%20 Mar →
nuke13–60.0622%20 Mar →
anubis15–150.0424%19 Mar →
inferno8–130.0120%19 Mar →
ancient13–160.0013%19 Mar →
nuke13–110.027%17 Mar →
ancient11–130.096%16 Mar →
dust211–13-0.0326%16 Mar →
dust28–13-0.0722%16 Mar →
ancient5–13-0.0017%15 Mar →
ancient6–130.0315%12 Mar →
nuke16–14-0.0222%8 Mar →
overpass13–40.0627%5 Mar →
dust213–10-0.0322%28 Feb →
nuke13–30.0313%28 Feb →
dust213–90.0514%27 Feb →
ancient13–110.018%26 Feb →
dust210–13-0.0321%26 Feb →
nuke10–13-0.0114%25 Feb →
inferno13–11-0.016%22 Feb →
ancient13–30.1017%20 Feb →
dust27–13-0.0211%20 Feb →
ancient13–10-0.0210%19 Feb →

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.