TooManyTrees

TooManyTrees — CS2 Stats

VA76561198155742340[U:1:195476612]Steam profile ↗✓ No bans

299Tracked matches55%Win rate2020Tracked since
5,884Hours in CS0Hrs last 2 wks
CSDB Rating7.4 StrongPositional Player
Premier CS Rating26,963Top 5% of 212,695 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)
CSDB Leaderboard#6636 of 259569 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 299 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,963 +3,765 15 Apr – 21 Oct · 34 days played
22,78127,669peak 27,66915 Apr21 Oct
27,885Peak Premier in tracked matches
37Days played since 2026-04-15

Premier CS Rating

  • 706 below peak (27,669)
  • 0 over 30 days · steady
  • +791 over 90 days
  • Next: Gold band at 30,000 — 3,037 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-15
  • Pink band first seen 2026-09-15

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 Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate63.0%48.2%50.9%above
Shot accuracy16.6%13.2%13.7%above
Kill/death ratio1.041.071.090.04 short
Match win rate38.6%46.9%48.4%9.8% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTooManyTreesFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER26,963 · Red 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

Aim86
Positioning75
Utility53

0–100 skill scores via Leetify.

Recent form

HOT60–37–3Last 10060%Win rateLWWWWWWWTW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −0.0pp headshot accuracy · +31ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 20%
  • Avg reaction 458ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 20%
  • Avg reaction 480ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 465ms

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 (+2.4 against its own average).

Aim8.6
Utility5.3
Positioning7.5
Opening Duels7.4
Clutch0.0

Sharp aimer

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 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 86 — 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 46% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning7.5
Utility5.3
Mechanics6.1
Opening Duels6.2
Win Impact6.7

Composite 7.4/10 (Strong), 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 rating0.05−0.02
first ⅓ avg 0.07 → last ⅓ avg 0.05
Reaction time497ms−29ms
first ⅓ avg 525ms → last ⅓ avg 497ms
Headshot accuracy19.8%−3.6%
first ⅓ avg 23.4% → last ⅓ avg 19.8%

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

0.23Best match rating · 13–2 · dust2, 2 May →
44%Best headshot accuracy · 13–1 · dust2, 20 Jun →
297msFastest reaction time · 13–9 · inferno, 22 Jul →
13–0Biggest win · mirage, 22 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 90% over 10anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB2312–1152%0.03
mirageS2115–671%0.08
dust2S2014–670%0.07
nukeS109–190%0.05
cacheC83–538%0.07
ancientA85–363%0.04
anubisD61–517%0.01
overpass—41–325%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,162Lifetime kills
1.04K/D
2,788Matches
38.6%Match win rate
63.0%Headshot % · Top 10% of Level 9 players
16.6%Shot accuracy · Top 25% of Level 9 players
9,912MVPs
4,253Hours (in match)
2,979Bombs planted
2,398Bombs defused

Most-used weapons

AK-4781,396
AWP8,738
P2508,633
Negev2,141
Tec-92,130
G3SG11,982

Lifetime map wins

24,345dust2
3,802inferno
2,612nuke
1,183cbble
859train
316vertigo
241safehouse
212lake

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

Faceit stats

Combat

256Matches
61%Win rate
2.00Avg K/D
107.3ADR
46%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient367%2.0327.0
Mirage367%1.8224.7
Anubis250%1.4325.0
Inferno10%1.0925.0
Dust21100%1.3818.0

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.

19.1%Headshot accuracy
36.8%Accuracy (enemy spotted)
39.8%Spray accuracy
77.5%Counter-strafing
7.4°Preaim
494msReaction time
46.4%T opening success
63.2%CT opening success
0.61Enemies flashed / flash
5.2%Flash assists
8.28HE damage / grenade
9.51Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0525%23 Aug →
dust213–60.1122%23 Aug →
inferno13–90.0318%22 Aug →
mirage13–80.0514%22 Aug →
dust213–80.1821%22 Aug →
mirage13–00.0718%22 Aug →
cache13–30.0327%22 Aug →
mirage10–20.1426%22 Aug →
anubis15–150.0216%20 Aug →
ancient16–130.0016%20 Aug →
inferno11–130.0521%20 Aug →
dust28–13-0.0524%20 Aug →
inferno13–90.0322%19 Aug →
ancient3–130.0120%15 Aug →
inferno6–13-0.0112%15 Aug →
anubis7–130.0313%15 Aug →
dust213–80.0326%12 Aug →
mirage13–60.1621%12 Aug →
mirage13–60.1323%5 Aug →
dust28–13-0.0121%5 Aug →
inferno4–130.0223%5 Aug →
anubis11–130.0416%2 Aug →
nuke13–10-0.0111%2 Aug →
inferno10–130.0218%2 Aug →
dust210–130.0717%1 Aug →
inferno10–130.0016%31 Jul →
inferno4–130.0421%31 Jul →
nuke13–60.0520%30 Jul →
cache13–10.1418%30 Jul →
nuke13–40.0917%30 Jul →
anubis13–100.0417%26 Jul →
inferno13–60.0724%26 Jul →
mirage4–13-0.0131%26 Jul →
inferno13–100.0417%26 Jul →
cache4–13-0.0516%25 Jul →
ancient14–160.0416%25 Jul →
inferno13–100.017%25 Jul →
cache13–100.0731%25 Jul →
ancient13–80.0619%25 Jul →
mirage13–70.0113%25 Jul →
mirage9–130.0010%25 Jul →
mirage8–130.0315%25 Jul →
anubis7–13-0.0523%25 Jul →
inferno13–80.0329%23 Jul →
inferno11–130.0425%23 Jul →
mirage13–50.1622%23 Jul →
anubis7–13-0.0122%23 Jul →
inferno13–90.0023%22 Jul →
nuke13–70.0616%22 Jul →
mirage13–60.0623%19 Jul →
nuke13–110.0625%19 Jul →
nuke13–90.0614%19 Jul →
cache9–130.0116%19 Jul →
inferno13–70.0128%19 Jul →
mirage13–110.1017%4 Jul →
inferno11–130.0421%4 Jul →
mirage8–130.0129%2 Jul →
dust216–140.0824%2 Jul →
dust213–70.1231%1 Jul →
inferno15–150.0418%1 Jul →
overpass4–130.0619%27 Jun →
dust213–60.0837%25 Jun →
inferno13–70.0334%25 Jun →
mirage13–00.0924%24 Jun →
nuke7–130.0627%24 Jun →
dust216–120.0431%24 Jun →
dust213–10.2244%20 Jun →
inferno11–130.0426%20 Jun →
dust213–50.0717%19 Jun →
nuke13–90.0436%19 Jun →
ancient13–110.1034%19 Jun →
mirage14–160.0231%17 Jun →
dust213–70.0118%17 Jun →
dust212–16-0.0021%14 Jun →
ancient13–80.0718%13 Jun →
nuke13–110.0618%13 Jun →
mirage6–130.0234%13 Jun →
dust213–60.0728%13 Jun →
ancient13–90.0721%12 Jun →
mirage13–10.0812%12 Jun →
inferno13–40.0223%12 Jun →
overpass10–130.0617%16 May →
mirage13–100.0417%16 May →
dust24–13-0.0324%16 May →
cache9–80.1328%13 May →
dust213–80.1019%13 May →
cache12–120.1431%12 May →
mirage13–60.1333%9 May →
dust213–20.2335%2 May →
cache11–130.1127%2 May →
mirage13–40.1733%25 Apr →
dust213–30.0932%25 Apr →
mirage13–30.1922%25 Apr →
inferno13–110.0115%25 Apr →
nuke13–70.0619%24 Apr →
inferno16–120.0820%24 Apr →
overpass13–60.1317%22 Apr →
overpass4–130.0120%22 Apr →
inferno12–160.0210%22 Apr →
ancient4–13-0.0015%15 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.