twofaces4

twofaces4 — CS2 Stats

DE76561198104151677[U:1:143885949]Steam profile ↗✓ No bans

2,173Tracked matches41%Win rate2022Tracked since
1,789Hours in CS18Hrs last 2 wks
CSDB Rating3.9 LearningPositional Player
Premier CS Rating12,240Blue band · top ~43% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 28 days played since 3 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,240 -4,104 3 Aug19 Sept · 28 days played
12,24016,431peak 16,4313 Aug19 Sept
16,965Peak Premier in tracked matches
28Days played since 2026-08-03

Premier CS Rating

  • 4,191 below peak (16,431)
  • -2,199 over 30 days · declining
  • Next: Purple band at 15,000 2,760 to go
  • Reached: 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 Blue band among CSDB-tracked players (n=20,242), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate34.6%41.9%44.3%9.7% short
Shot accuracy1.6%9.6%11.8%10.2% short
Kill/death ratio0.810.981.030.22 short
Match win rate46.9%43.8%45.2%above

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

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

Share this profile

CSDB.GGtwofaces4PREMIER12,240 · Blue 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

Aim48
Positioning58
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY43534Last 10043%Win rateLWLWLTWWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +1.0pp headshot accuracy · −59ms reaction

Win rate up 20pp 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

  • 23 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 511ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 518ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 547ms

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 PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim4.8
Utility1.9
Positioning5.8
Opening Duels3.8

Limited utility dependence

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 79% 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

Reaction time. 554ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning5.8
Utility1.9
Mechanics4.0
Opening Duels4.6
Win Impact2.1

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time547ms−24ms
first ⅓ avg 572ms → last ⅓ avg 547ms
Headshot accuracy12.9%−0.7%
first ⅓ avg 13.6% → last ⅓ avg 12.9%

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

0.17Best match rating · 13–4 · ancient, 22 Aug
26%Best headshot accuracy · 9–13 · nuke, 14 Sept
383msFastest reaction time · 5–13 · anubis, 12 Aug
13–0Biggest win · inferno, 4 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
88In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 55% over 11cacheWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB32151747%-0.01
ancientB168850%-0.00
nukeB158753%-0.01
dust2C135838%-0.01
anubisA116555%-0.01
cacheD9090%-0.04
mirage41325%-0.03

Across the last 100 tracked matches.

Lifetime stats

33,331Lifetime kills
0.81K/D
2,339Matches
46.9%Match win rate · Top 25% of Blue band
34.6%Headshot %
1.6%Shot accuracy
4,333MVPs
972Hours (in match)
2,361Bombs planted
339Bombs defused

Most-used weapons

AK-478,873
MAC-101,972
XM10141,842
MP91,498
Tec-91,491
AWP1,173

Lifetime map wins

7,859inferno
1,962dust2
1,934nuke
1,213vertigo
202train
77office
8cbble
7italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.8%Headshot accuracy
31.6%Accuracy (enemy spotted)
34.3%Spray accuracy
68.2%Counter-strafing
10.7°Preaim
554msReaction time
53.9%T opening success
42.9%CT opening success
0.20Enemies flashed / flash
4.7%Flash assists
9.02HE damage / grenade
0.25Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.802% — below the 15% mark we flag

    Aim Training
  2. 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 0.2016 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Cache

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

0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0311%19 Sept
inferno13–90.0410%18 Sept
ancient10–13-0.016%18 Sept
inferno13–50.0013%18 Sept
nuke8–130.0115%18 Sept
ancient15–15-0.0415%14 Sept
ancient13–70.0216%14 Sept
nuke13–90.0514%14 Sept
nuke9–13-0.0226%14 Sept
mirage1–13-0.0810%13 Sept
inferno13–16-0.0814%12 Sept
cache8–13-0.0610%12 Sept
mirage7–130.0217%11 Sept
anubis13–110.029%11 Sept
inferno3–13-0.086%11 Sept
cache5–13-0.0616%11 Sept
dust210–13-0.0016%10 Sept
ancient13–60.007%10 Sept
nuke6–13-0.0612%9 Sept
anubis10–13-0.0518%8 Sept
dust28–13-0.0521%8 Sept
inferno13–100.0316%7 Sept
nuke16–130.0319%7 Sept
dust28–130.0219%7 Sept
ancient13–6-0.066%6 Sept
mirage8–13-0.0321%6 Sept
anubis13–11-0.0310%6 Sept
inferno13–90.0719%6 Sept
cache4–13-0.030%5 Sept
inferno13–4-0.0017%5 Sept
mirage13–10-0.045%5 Sept
ancient13–10-0.019%4 Sept
anubis16–140.046%4 Sept
inferno13–00.092%4 Sept
nuke10–13-0.0116%4 Sept
inferno10–13-0.059%4 Sept
dust211–13-0.0112%4 Sept
inferno13–11-0.0117%3 Sept
anubis10–13-0.0011%3 Sept
inferno15–150.0516%3 Sept
dust213–50.0413%2 Sept
inferno13–11-0.0413%2 Sept
nuke13–5-0.0912%2 Sept
anubis8–13-0.0113%2 Sept
cache10–13-0.0014%1 Sept
cache3–13-0.0615%26 Aug
nuke6–13-0.0015%26 Aug
inferno14–160.0223%25 Aug
dust213–4-0.0519%25 Aug
dust213–40.0217%22 Aug
inferno15–15-0.0111%22 Aug
ancient13–40.179%22 Aug
dust213–60.0421%22 Aug
ancient10–13-0.0514%22 Aug
inferno7–13-0.0719%22 Aug
ancient11–13-0.0515%22 Aug
inferno11–13-0.006%21 Aug
nuke16–13-0.0210%21 Aug
inferno10–13-0.0711%17 Aug
cache10–13-0.0219%17 Aug
inferno13–6-0.067%16 Aug
inferno11–130.0415%16 Aug
inferno11–13-0.0515%15 Aug
dust210–13-0.0415%15 Aug
ancient14–160.0211%15 Aug
nuke13–80.0412%15 Aug
anubis16–140.0013%15 Aug
ancient5–13-0.0215%15 Aug
ancient10–130.0312%15 Aug
dust213–80.0013%14 Aug
anubis13–90.0817%14 Aug
nuke10–13-0.038%14 Aug
inferno15–150.0914%14 Aug
anubis7–13-0.0614%14 Aug
nuke13–5-0.0415%14 Aug
dust26–13-0.0118%14 Aug
inferno13–5-0.016%14 Aug
cache7–13-0.0522%14 Aug
inferno13–80.0114%14 Aug
inferno4–13-0.0322%13 Aug
nuke13–80.0715%13 Aug
ancient13–60.0117%13 Aug
inferno8–130.0211%13 Aug
nuke13–10-0.0317%13 Aug
dust210–13-0.108%13 Aug
cache7–130.0015%13 Aug
inferno13–70.0113%13 Aug
anubis13–11-0.0711%13 Aug
inferno2–13-0.0517%12 Aug
inferno13–10-0.0311%12 Aug
cache9–13-0.058%12 Aug
ancient13–11-0.0514%12 Aug
inferno13–8-0.0111%12 Aug
anubis5–13-0.0512%12 Aug
dust24–13-0.0516%4 Aug
inferno13–9-0.0912%4 Aug
nuke11–13-0.0612%4 Aug
inferno12–16-0.0410%4 Aug
ancient13–90.0116%4 Aug
inferno8–13-0.0115%3 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 →