TofuPhoenix

TofuPhoenix — CS2 Stats

76561198105887046[U:1:145621318]Steam profile ↗✓ No bans

1,074Tracked matches40%Win rate2022Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating18,841Top 50% of 212,133 CSDB-tracked playersPurple band · top ~13.1% of ranked players (population est.)
FaceitLevel 8 · 1,460 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (6 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: 18,841 +2 30 Jun – 25 Oct · 23 days played
18,57922,376peak 22,37630 Jun25 Oct
22,876Peak Premier in tracked matches
1,460Highest Faceit ELO seen on CSDB
27Days played since 2026-06-30

Faceit ELO

  • At peak — 1,460
  • Next: Level 8 at 1,531 — 71 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 3,535 below peak (22,376)
  • -3,535 over 30 days · declining
  • +179 over 90 days
  • Next: Pink band at 20,000 — 1,159 to go
  • Reached: Pink band · 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.

Share this profile

CSDB.GGTofuPhoenixFACEITLevel 8 · 1,460 ELOSTANDINGTop 31.2% of rankedPREMIER18,841 · Purple bandPEAK ELO1,460csdb.gg/stats

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Performance scores

Aim64
Positioning51
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLWLWLWLLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +2.1pp headshot accuracy · −62ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 556ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 575ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 606ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim6.4
Utility5.4
Positioning5.1
Opening Duels1.4
Clutch2.8

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

b1t

Plays most like b1t 84% 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

Reaction time. 576ms 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

Aim6.4
Positioning5.1
Utility5.4
Mechanics8.0
Opening Duels2.4
Win Impact1.7

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time589ms−23ms
first ⅓ avg 612ms → last ⅓ avg 589ms
Headshot accuracy10.5%−4.1%
first ⅓ avg 14.6% → last ⅓ avg 10.5%

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

0.16Best match rating · 13–2 · dust2, 2 Jul →
31%Best headshot accuracy · 13–6 · dust2, 23 Aug →
406msFastest reaction time · 13–10 · mirage, 17 Sept →
13–0Biggest win · dust2, 23 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 58% over 24ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2414–1058%-0.01
dust2A2313–1057%0.00
cacheB2111–1052%-0.00
mirageB2010–1050%0.01
ancientC52–340%-0.02
anubis—41–325%-0.03
nuke—20–20%-0.05
overpass—10–10%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

397Matches
52%Win rate
1.07Avg K/D
76.0ADR
36%Headshot %

Clutches & streaks

34%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3447%0.9113.5
Ancient1968%1.0616.3
Inferno1443%0.9716.9
Dust21369%0.9814.5
Overpass1250%0.9113.9
Train250%0.9316.0
Vertigo2100%0.7415.5
Anubis1100%0.6511.0

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.

10.0%Headshot accuracy
33.1%Accuracy (enemy spotted)
36.2%Spray accuracy
85.9%Counter-strafing
9.1°Preaim
576msReaction time
36.5%T opening success
42.8%CT opening success
0.68Enemies flashed / flash
2.9%Flash assists
8.66HE damage / grenade
8.66Flashes / 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 9.9896% — below the 15% mark we flag

    Aim Training →
  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 36.4844% — below the 40% mark we flag

Spend your practice time on Ancient

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.053%25 Oct →
dust213–10-0.032%25 Oct →
inferno4–13-0.116%25 Oct →
cache13–80.0018%25 Oct →
dust28–130.0118%18 Oct →
inferno13–11-0.054%18 Oct →
anubis7–13-0.0516%18 Oct →
cache6–13-0.0512%15 Oct →
dust211–130.0111%10 Oct →
inferno13–100.0121%10 Oct →
ancient13–60.037%10 Oct →
inferno9–130.023%10 Oct →
mirage9–13-0.0310%6 Oct →
nuke5–13-0.106%6 Oct →
cache5–13-0.0211%5 Oct →
cache4–00.0114%5 Oct →
inferno13–110.0112%5 Oct →
cache10–13-0.047%3 Oct →
dust24–13-0.0216%3 Oct →
mirage4–13-0.093%3 Oct →
mirage9–130.016%3 Oct →
nuke3–130.0114%3 Oct →
inferno13–50.0711%3 Oct →
dust213–7-0.0211%3 Oct →
inferno11–13-0.0510%3 Oct →
cache8–130.0112%3 Oct →
mirage13–11-0.0210%30 Sept →
dust213–70.009%30 Sept →
cache13–8-0.0113%30 Sept →
dust29–13-0.0111%17 Sept →
ancient4–13-0.0719%17 Sept →
mirage13–100.0011%17 Sept →
cache10–13-0.0412%5 Sept →
inferno7–13-0.0515%5 Sept →
cache13–11-0.0414%5 Sept →
dust211–130.0617%5 Sept →
inferno13–90.0211%5 Sept →
mirage13–4-0.0211%3 Sept →
inferno13–50.0212%3 Sept →
dust28–130.0114%3 Sept →
mirage6–13-0.0412%31 Aug →
cache16–130.0914%31 Aug →
mirage11–130.0714%31 Aug →
cache3–13-0.0917%29 Aug →
dust29–13-0.0415%29 Aug →
inferno12–16-0.0214%29 Aug →
cache13–30.0422%29 Aug →
dust213–5-0.0010%29 Aug →
anubis7–13-0.024%29 Aug →
anubis13–80.0013%29 Aug →
mirage13–90.0413%28 Aug →
dust213–3-0.0017%28 Aug →
inferno13–60.0513%28 Aug →
inferno8–13-0.016%27 Aug →
mirage5–13-0.0413%27 Aug →
dust210–13-0.075%23 Aug →
inferno13–6-0.0512%23 Aug →
mirage13–100.0813%23 Aug →
dust213–60.0031%23 Aug →
mirage13–50.1117%23 Aug →
inferno7–1-0.0517%23 Aug →
cache13–90.017%23 Aug →
cache13–70.068%23 Aug →
dust213–00.0217%23 Aug →
ancient5–13-0.0515%17 Aug →
dust29–13-0.0820%17 Aug →
dust213–30.0228%17 Aug →
inferno13–9-0.0125%17 Aug →
ancient10–130.0117%16 Aug →
inferno8–130.0521%16 Aug →
mirage9–130.0513%14 Aug →
mirage16–130.0114%14 Aug →
dust213–11-0.0111%14 Aug →
cache10–1-0.0025%14 Aug →
anubis11–13-0.0313%9 Aug →
cache7–130.0018%9 Aug →
mirage9–130.007%9 Aug →
cache13–8-0.049%9 Aug →
inferno16–130.0114%4 Aug →
inferno13–40.0916%4 Aug →
inferno13–90.0211%4 Aug →
mirage8–13-0.0318%25 Jul →
cache13–11-0.026%25 Jul →
mirage10–13-0.0417%25 Jul →
mirage16–130.0415%22 Jul →
inferno13–8-0.0229%22 Jul →
dust213–40.0115%22 Jul →
ancient13–9-0.0116%16 Jul →
inferno2–13-0.099%16 Jul →
cache5–130.0614%16 Jul →
cache4–13-0.008%16 Jul →
cache10–130.0318%11 Jul →
mirage13–40.019%11 Jul →
mirage13–50.046%11 Jul →
dust22–13-0.0717%11 Jul →
dust213–20.1616%2 Jul →
inferno8–13-0.0010%2 Jul →
overpass1–13-0.0912%2 Jul →
dust213–40.0616%2 Jul →
dust213–100.0518%30 Jun →

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 →

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