TreeFiddy

TreeFiddy — CS2 Stats

DE76561197971853498[U:1:11587770]Steam profile ↗✓ No bans

456Tracked matches57%Win rate2020Tracked since
CSDB Rating4.6 DevelopingSupport
CSDB Leaderboard#79081 of 261689 tracked
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,397 +6,001 13 Apr – 20 Sept · 28 days played
13,45520,397peak 20,39713 Apr20 Sept
20,397Peak Premier in tracked matches
47Days played since 2026-03-17

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

Performance scores

Aim50
Positioning41
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWLWWWWLTW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +3.6pp headshot accuracy · −36ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 597ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 559ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 577ms

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 (+2.1 against its own average).

Aim5.0
Utility6.7
Positioning4.1
Opening Duels1.5
Clutch6.2

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

NiKo

Plays most like NiKo 71% 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. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.0
Positioning4.1
Utility6.7
Mechanics3.7
Opening Duels0.3
Win Impact7.4

Composite 4.6/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time594ms−43ms
first ⅓ avg 636ms → last ⅓ avg 594ms
Headshot accuracy16.9%−4.8%
first ⅓ avg 21.7% → 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

0.17Best match rating · 13–1 · anubis, 10 Sept →
42%Best headshot accuracy · 4–13 · anubis, 1 Aug →
438msFastest reaction time · 14–16 · mirage, 11 Aug →
13–1Biggest win · anubis, 10 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 63% over 8mirageWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA2011–955%0.01
ancientB199–1047%-0.01
anubisA1911–858%0.00
infernoB126–650%0.01
mirageC94–544%-0.01
dust2A85–363%-0.03
cacheB84–450%-0.01
overpass—42–250%-0.01
train—10–10%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

520Matches
51%Win rate
0.99Avg K/D
77.0ADR
42%Headshot %

Clutches & streaks

51%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1947%0.9113.1
Inferno1573%1.1415.9
Dust21258%0.9213.8
Nuke1182%1.3114.2
Ancient1155%0.9213.3
Mirage911%0.9315.9
Vertigo667%0.7912.3
Cache560%1.2020.0

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.

16.7%Headshot accuracy
31.6%Accuracy (enemy spotted)
33.4%Spray accuracy
66.8%Counter-strafing
10.1°Preaim
583msReaction time
26.9%T opening success
32.1%CT opening success
0.59Enemies flashed / flash
2.0%Flash assists
11.29HE damage / grenade
13.97Flashes / 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. 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 26.8796% — below the 40% mark we flag

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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0329%21 Oct →
dust213–6-0.0718%20 Sept →
ancient12–16-0.0325%10 Sept →
anubis13–10.1729%10 Sept →
mirage13–7-0.0120%8 Sept →
mirage13–110.0311%8 Sept →
dust213–11-0.0712%25 Aug →
inferno7–130.0424%24 Aug →
inferno15–150.0816%22 Aug →
anubis13–8-0.0410%22 Aug →
mirage13–40.0716%22 Aug →
anubis5–13-0.0618%20 Aug →
nuke13–10-0.0518%13 Aug →
inferno6–13-0.0714%12 Aug →
nuke10–13-0.0111%12 Aug →
cache13–60.0119%12 Aug →
mirage14–160.0225%11 Aug →
ancient13–9-0.0010%11 Aug →
dust213–3-0.0313%11 Aug →
inferno13–40.0114%11 Aug →
cache8–130.0419%11 Aug →
anubis16–12-0.0012%11 Aug →
dust213–8-0.0118%10 Aug →
ancient9–13-0.0010%5 Aug →
mirage10–13-0.027%4 Aug →
mirage13–50.0223%4 Aug →
dust26–13-0.0815%4 Aug →
anubis16–13-0.0213%4 Aug →
nuke15–150.0220%3 Aug →
mirage11–13-0.0320%3 Aug →
cache5–13-0.0320%3 Aug →
nuke13–6-0.0312%3 Aug →
ancient13–9-0.0217%2 Aug →
anubis4–13-0.0242%1 Aug →
nuke11–13-0.0120%26 Jul →
anubis6–13-0.0415%26 Jul →
cache13–5-0.0113%26 Jul →
inferno13–8-0.0421%25 Jul →
dust213–6-0.0217%25 Jul →
ancient13–70.0614%25 Jul →
cache16–130.0428%15 Jun →
inferno13–80.0816%12 Jun →
inferno5–13-0.0413%12 Jun →
inferno13–20.0919%12 Jun →
inferno13–160.0111%9 Jun →
ancient13–90.0511%7 Jun →
overpass4–13-0.0315%7 Jun →
nuke13–110.0325%7 Jun →
anubis13–110.009%2 Jun →
nuke13–10.1316%2 Jun →
anubis13–60.0120%2 Jun →
anubis13–50.0315%31 May →
ancient10–1-0.0419%31 May →
anubis10–13-0.0115%31 May →
ancient2–13-0.077%28 May →
anubis13–7-0.0117%15 May →
nuke11–13-0.0120%15 May →
cache3–13-0.0320%15 May →
nuke11–13-0.0322%12 May →
ancient9–13-0.0414%11 May →
nuke13–60.0235%11 May →
ancient10–13-0.0413%11 May →
overpass13–9-0.0115%11 May →
nuke13–10.0929%11 May →
anubis12–160.0215%8 May →
ancient5–13-0.0615%8 May →
ancient15–15-0.0019%6 May →
nuke13–30.0329%6 May →
mirage2–13-0.1416%6 May →
inferno13–9-0.0223%3 May →
dust29–130.0425%1 May →
ancient13–70.1010%1 May →
anubis9–130.0012%1 May →
overpass13–3-0.0019%1 May →
anubis13–60.0112%1 May →
cache4–13-0.0626%1 May →
cache13–8-0.0121%29 Apr →
nuke9–130.0632%29 Apr →
nuke5–130.0127%27 Apr →
ancient9–13-0.0417%27 Apr →
train11–130.0614%27 Apr →
nuke9–130.0117%24 Apr →
inferno6–13-0.0434%23 Apr →
ancient13–50.0028%23 Apr →
nuke16–12-0.0228%22 Apr →
overpass10–13-0.0214%22 Apr →
ancient7–130.0224%20 Apr →
anubis13–80.0133%20 Apr →
inferno13–110.0214%17 Apr →
nuke13–9-0.0027%15 Apr →
dust210–13-0.0327%14 Apr →
nuke5–13-0.0422%13 Apr →
ancient16–140.0118%13 Apr →
ancient13–60.0117%13 Apr →
anubis8–13-0.0113%27 Mar →
nuke13–110.0628%27 Mar →
ancient4–13-0.0520%26 Mar →
anubis5–13-0.0732%26 Mar →
anubis13–100.0622%24 Mar →
nuke13–9-0.0115%17 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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