TheSkitsOne

TheSkitsOne — CS2 Stats

76561198135110416[U:1:174844688]Steam profile ↗VAC banned

1,782Tracked matches53%Win rate2020Tracked since
CSDB Rating5.4 DevelopingClutch Specialist
Premier CS Rating25,934Top 10% of 211,308 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#13822 of 258295 tracked
FaceitLevel 8 · 1,794 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (4 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: 25,934 +935 15 Sept – 24 Oct · 13 days played
24,99926,625peak 26,62515 Sept24 Oct
Faceit ELO: 1,794 +0 30 Aug – 18 Sept · 3 observations
1,7941,794peak 1,79430 Aug18 Sept
26,721Peak Premier in tracked matches
1,794Highest Faceit ELO seen on CSDB
34Days played since 2026-08-10

Faceit ELO

  • At peak — 1,794
  • Next: Level 10 at 2,001 — 207 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-30
  • Level 8 first seen 2026-08-30

Premier CS Rating

  • 691 below peak (26,625)
  • +414 over 30 days · improving
  • Next: Gold band at 30,000 — 4,066 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-18
  • Pink band first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGTheSkitsOneFACEITLevel 8 · 1,794 ELOSTANDINGTop 31.2% of rankedPREMIER25,934 · Red bandPEAK ELO1,794csdb.gg/stats

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Performance scores

Aim71
Positioning48
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY62–35–3Last 10062%Win rateWLWLWWWLWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −1.3pp headshot accuracy · −21ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 532ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 543ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim7.1
Utility2.6
Positioning4.8
Opening Duels1.5
Clutch5.2

Strong CT-side openerLimited 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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, aim profile.

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

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.

T-side openings. Opening success drops from 46% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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
Positioning4.8
Utility2.6
Mechanics6.0
Opening Duels2.0
Win Impact6.1

Composite 5.4/10 (Developing), 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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time594ms+52ms
first ⅓ avg 542ms → last ⅓ avg 594ms
Headshot accuracy16.9%−1.3%
first ⅓ avg 18.2% → last ⅓ avg 16.9%

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

0.12Best match rating · 13–6 · office, 14 Oct →
40%Best headshot accuracy · 0–13 · dust2, 5 Oct →
344msFastest reaction time · 13–1 · ancient, 2 Oct →
13–0Biggest win · mirage, 16 Sept →

Across the last 100 tracked matches.

Highlights

14Longest win streak
16–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 78% over 9anubisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA3521–1460%-0.01
cacheS139–469%-0.03
nukeA138–562%-0.03
infernoC94–544%-0.04
ancientS97–278%-0.02
anubisC73–443%-0.01
dust2B63–350%-0.04
vertigo—43–175%-0.01
office—11–0100%0.12
train—11–0100%0.02
fachwerk—11–0100%-0.04
shelter—11–0100%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,207Matches
52%Win rate
0.94Avg K/D
72.3ADR
39%Headshot %

Clutches & streaks

46%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage13644%0.8312.9
Anubis4569%0.8513.0
Nuke4252%0.9714.9
Ancient4042%0.7711.7
Vertigo3768%0.8913.2
Inferno3050%0.9214.1
Overpass1839%0.9413.9
Dust2757%1.4118.0

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.

15.2%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.2%Spray accuracy
77.2%Counter-strafing
7.9°Preaim
572msReaction time
29.0%T opening success
46.1%CT opening success
0.28Enemies flashed / flash
1.3%Flash assists
11.03HE damage / grenade
2.41Flashes / 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 0.2792 — 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 28.9623% — below the 40% mark we flag

Spend your practice time on Anubis

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–7-0.0013%24 Oct →
anubis13–16-0.0611%24 Oct →
inferno13–11-0.0610%19 Oct →
inferno6–13-0.0313%19 Oct →
cache13–7-0.0221%19 Oct →
mirage13–1-0.0126%19 Oct →
office13–60.1214%14 Oct →
nuke7–13-0.0124%9 Oct →
anubis13–30.0916%9 Oct →
inferno5–8-0.098%9 Oct →
ancient16–14-0.065%5 Oct →
dust213–7-0.0711%5 Oct →
mirage8–13-0.0520%5 Oct →
dust20–13-0.0540%5 Oct →
dust26–13-0.098%5 Oct →
mirage13–11-0.1020%3 Oct →
mirage1–130.0219%3 Oct →
nuke13–30.0322%3 Oct →
inferno0–40.0418%2 Oct →
mirage4–6-0.025%2 Oct →
ancient13–10.0917%2 Oct →
ancient1–13-0.110%2 Oct →
nuke13–3-0.0624%2 Oct →
mirage0–80.0231%2 Oct →
cache7–13-0.0322%2 Oct →
mirage13–20.0020%2 Oct →
mirage13–50.019%2 Oct →
cache13–7-0.048%2 Oct →
nuke4–13-0.099%1 Oct →
cache13–100.0014%28 Sept →
cache1–7-0.1311%27 Sept →
mirage3–50.0633%27 Sept →
nuke13–70.0233%26 Sept →
mirage13–11-0.0310%26 Sept →
vertigo13–70.0020%26 Sept →
anubis16–13-0.0611%19 Sept →
mirage13–5-0.068%19 Sept →
cache13–100.0520%19 Sept →
train13–50.0220%19 Sept →
mirage13–110.0516%18 Sept →
fachwerk13–11-0.0414%18 Sept →
nuke13–11-0.0217%18 Sept →
cache13–8-0.018%18 Sept →
mirage13–80.019%18 Sept →
nuke13–80.0324%17 Sept →
dust213–110.0520%17 Sept →
mirage1–7-0.048%16 Sept →
cache13–8-0.0413%16 Sept →
mirage13–10.0218%16 Sept →
anubis5–13-0.0125%16 Sept →
mirage13–5-0.064%16 Sept →
cache13–10-0.0711%16 Sept →
mirage13–00.0217%16 Sept →
shelter13–7-0.006%16 Sept →
dust213–5-0.0113%15 Sept →
inferno13–90.0224%15 Sept →
inferno2–13-0.0417%15 Sept →
mirage13–80.0012%15 Sept →
inferno0–7-0.0520%14 Sept →
anubis13–11-0.0218%14 Sept →
mirage13–60.0310%14 Sept →
cache12–12-0.0619%13 Sept →
ancient13–5-0.0312%13 Sept →
mirage6–13-0.1211%13 Sept →
mirage13–80.0219%12 Sept →
vertigo10–13-0.0315%12 Sept →
mirage8–13-0.0619%12 Sept →
nuke6–13-0.1021%12 Sept →
ancient13–110.0112%9 Sept →
mirage5–130.0019%9 Sept →
anubis13–16-0.0415%8 Sept →
mirage13–6-0.0229%1 Sept →
inferno5–0-0.1017%31 Aug →
vertigo13–11-0.0719%24 Aug →
nuke5–13-0.058%24 Aug →
ancient13–10-0.0221%24 Aug →
cache10–13-0.0910%24 Aug →
mirage13–10-0.0326%24 Aug →
mirage8–13-0.0317%24 Aug →
mirage9–13-0.0213%24 Aug →
cache13–11-0.0216%24 Aug →
nuke10–13-0.0218%24 Aug →
mirage12–160.0123%23 Aug →
ancient13–6-0.0124%22 Aug →
dust215–15-0.0511%20 Aug →
ancient9–13-0.0527%18 Aug →
nuke13–60.0119%18 Aug →
mirage13–110.0120%18 Aug →
mirage13–8-0.0515%18 Aug →
mirage25–230.0520%17 Aug →
anubis3–13-0.0013%17 Aug →
mirage15–15-0.0015%16 Aug →
inferno13–2-0.0525%16 Aug →
nuke13–8-0.0117%15 Aug →
mirage13–11-0.0320%14 Aug →
cache13–80.0515%14 Aug →
mirage11–13-0.0623%13 Aug →
ancient13–5-0.0215%13 Aug →
nuke13–10-0.0522%13 Aug →
vertigo13–110.0719%10 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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