tooX

tooX — CS2 Stats

76561199253477972[U:1:1293212244]Steam profile ↗✓ No bans

1,111Tracked matches42%Win rate2022Tracked since
837Hours in CS
CSDB Rating6.8 SolidPositional Player
Premier CS Rating21,530Top 50% of 215,558 CSDB-tracked playersPink band · top ~6.8% of ranked players (population est.)
CSDB Leaderboard#63789 of 261709 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,111 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,530 +2,975 20 Jul – 25 Oct · 27 days played
17,88521,530peak 21,53020 Jul25 Oct
21,530Peak Premier in tracked matches
32Days played since 2026-07-20

Premier CS Rating

  • At peak — 21,530
  • +104 over 30 days · steady
  • +3,574 over 90 days
  • Next: Red band at 25,000 — 3,470 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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
Matches215−13
Win rate0%40%−40pp
K/D1.631.44+0.19
Headshot %69%56%+14pp

Measured 19 Oct 2026 → 15 Nov 2026; previous 15 Sep 2026 → 19 Oct 2026.

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 Pink band among CSDB-tracked players (n=42,632), 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 rate46.4%46.9%49.3%2.9% short
Shot accuracy19.0%13.0%13.3%above
Kill/death ratio1.441.081.12above
Match win rate42.4%46.7%48.5%6.2% short

This profile matches the typical Red band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. 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.GGtooXPREMIER21,530 · Pink bandcsdb.gg/stats

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Performance scores

Aim89
Positioning61
Utility42

0–100 skill scores via Leetify.

Recent form

HOT49–44–7Last 10049%Win rateWWWTWWTLWW

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · −38ms reaction

Win rate up 50pp 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 19%
  • Avg reaction 573ms

Last 10

  • 7–1–2 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 565ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • 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 (+0.9 against its own average).

Aim8.9
Utility4.2
Positioning6.1
Opening Duels5.4

Sharp aimerStrong CT-side opener

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

donk

Plays most like donk 91% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower 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 89 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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 63% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim8.9
Positioning6.1
Utility4.2
Mechanics8.4
Opening Duels6.0
Win Impact2.4

Composite 6.8/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time579ms−47ms
first ⅓ avg 625ms → last ⅓ avg 579ms
Headshot accuracy22.9%+3.8%
first ⅓ avg 19.0% → last ⅓ avg 22.9%

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

0.19Best match rating · 13–1 · dust2, 4 Aug →
38%Best headshot accuracy · 13–1 · dust2, 1 Sept →
398msFastest reaction time · 13–5 · dust2, 21 Jul →
13–0Biggest win · dust2, 16 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
4–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 56% over 9mirageWeakest map · 46% over 28
MapGradePlayedRecordWin rateAvg rating
dust2B4823–2548%0.02
mirageB2813–1546%0.01
cacheB105–550%0.01
infernoA95–456%0.01
nuke—32–167%-0.00
ancient—21–150%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,372Lifetime kills
1.44K/D · Top 10% of Pink band
2,199Matches
42.4%Match win rate
46.4%Headshot %
19.0%Shot accuracy · Top 10% of Pink band
4,215MVPs
837Hours (in match)
1,904Bombs planted
309Bombs defused

Most-used weapons

Lifetime map wins

6,607dust2
2,077inferno
1,084nuke
403vertigo
200train
16office
12safehouse
5house

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.

23.1%Headshot accuracy
40.3%Accuracy (enemy spotted)
38.6%Spray accuracy
87.9%Counter-strafing
8.2°Preaim
591msReaction time
44.6%T opening success
63.0%CT opening success
0.68Enemies flashed / flash
4.7%Flash assists
7.57HE damage / grenade
5.69Flashes / match

Recommended for you

Spend your practice time on Mirage

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

46% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0716%18 Oct →
dust216–14-0.019%18 Oct →
dust213–60.1016%5 Oct →
mirage12–120.1123%5 Oct →
dust213–60.0233%23 Sept →
ancient13–90.0332%22 Sept →
inferno15–15-0.0626%21 Sept →
mirage5–13-0.0425%12 Sept →
inferno13–100.0436%10 Sept →
mirage13–90.0516%10 Sept →
mirage12–120.0824%8 Sept →
dust23–130.0235%8 Sept →
mirage6–130.0118%8 Sept →
mirage5–13-0.0331%8 Sept →
dust28–130.0514%8 Sept →
dust210–13-0.0426%7 Sept →
dust25–13-0.0020%1 Sept →
dust213–10.0438%1 Sept →
mirage6–130.0816%1 Sept →
inferno13–3-0.0221%1 Sept →
dust22–13-0.0326%1 Sept →
dust212–120.0732%21 Aug →
dust29–130.0728%21 Aug →
dust210–130.0417%18 Aug →
dust27–13-0.0414%18 Aug →
dust22–130.0226%17 Aug →
mirage13–110.0119%16 Aug →
mirage13–5-0.0527%16 Aug →
mirage10–130.0313%16 Aug →
dust22–13-0.0131%16 Aug →
dust213–00.0223%16 Aug →
cache2–130.000%11 Aug →
dust29–130.0124%11 Aug →
dust213–40.0625%11 Aug →
mirage13–100.008%10 Aug →
mirage13–100.0720%10 Aug →
mirage12–12-0.0520%10 Aug →
dust23–13-0.0416%10 Aug →
dust22–130.1320%10 Aug →
mirage12–12-0.0321%10 Aug →
dust27–13-0.022%10 Aug →
dust213–9-0.0229%10 Aug →
nuke13–100.0317%9 Aug →
mirage13–90.0323%9 Aug →
dust213–90.1218%9 Aug →
dust213–80.0729%7 Aug →
mirage8–13-0.0218%4 Aug →
mirage13–70.0323%4 Aug →
dust213–10.1014%4 Aug →
dust211–13-0.0616%4 Aug →
mirage3–13-0.038%4 Aug →
dust213–10.1924%4 Aug →
dust213–60.089%3 Aug →
dust213–70.0119%3 Aug →
dust24–130.1130%3 Aug →
cache13–7-0.0012%3 Aug →
mirage13–100.0420%2 Aug →
mirage13–90.0316%2 Aug →
inferno9–130.0214%1 Aug →
dust213–60.0419%31 Jul →
cache13–100.0421%31 Jul →
nuke13–5-0.0022%29 Jul →
ancient6–13-0.0126%29 Jul →
mirage10–130.0117%29 Jul →
dust213–10-0.0229%27 Jul →
cache13–80.0717%27 Jul →
cache11–130.0518%27 Jul →
inferno13–8-0.0018%27 Jul →
dust22–13-0.0010%27 Jul →
mirage8–13-0.0326%27 Jul →
dust214–160.0218%27 Jul →
dust210–130.0725%27 Jul →
dust23–13-0.0317%27 Jul →
mirage13–9-0.0218%26 Jul →
dust213–10-0.0620%26 Jul →
inferno6–130.0528%26 Jul →
dust211–13-0.0115%26 Jul →
dust213–11-0.0615%26 Jul →
dust28–13-0.0823%25 Jul →
cache4–13-0.0217%25 Jul →
inferno13–100.0225%25 Jul →
dust213–30.077%25 Jul →
mirage5–13-0.0431%25 Jul →
cache8–13-0.0726%25 Jul →
dust213–6-0.057%25 Jul →
cache5–13-0.0410%24 Jul →
mirage13–100.0322%24 Jul →
cache13–60.1115%23 Jul →
dust27–13-0.0211%23 Jul →
mirage13–110.0219%23 Jul →
dust213–50.0329%23 Jul →
mirage15–15-0.0218%22 Jul →
nuke7–13-0.0420%21 Jul →
dust213–10.1119%21 Jul →
cache16–120.0017%21 Jul →
dust213–10.1024%21 Jul →
inferno10–13-0.0212%21 Jul →
mirage13–10.0511%21 Jul →
dust213–50.0638%21 Jul →
dust211–13-0.0421%20 Jul →

Match data via Leetify.

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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