Tree60 — CS2 Stats

GB76561198165543185[U:1:205277457]Steam profile ↗✓ No bans

4,524Tracked matches57%Win rate2020Tracked since

35,941Hours in CS

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating24,639Top 25% of 44,590 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)

CSDB Leaderboard#8042 of 57926 tracked

FaceitLevel 10 · 3,424 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), 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.

Metric	This player	Level 10 median
Headshot rate	59.2%	51.7%
Shot accuracy	14.0%	13.8%
Kill/death ratio	1.04	1.09
Match win rate	49.4%	48.7%

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Performance scores

Aim92

Positioning72

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateWWWLWWLLLL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.2

Aggression8.8

Utility6.4

Positioning7.2

Opening Duels4.2

Clutch3.8

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.

Your pro match

Plays most like donk 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 92 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 36% 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

Aim9.2

Positioning7.2

Utility6.4

Mechanics8.2

Opening Duels4.2

Win Impact7.2

Composite 7.7/10 (Strong), 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 rating0.07−0.00

first ⅓ avg 0.07 → last ⅓ avg 0.07

Reaction time495ms−26ms

first ⅓ avg 521ms → last ⅓ avg 495ms

Headshot accuracy26.1%−0.8%

first ⅓ avg 26.9% → last ⅓ avg 26.1%

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.

Highlights

0.28Best rating — train 13–4

13–0Biggest win — train

7Longest win streak

W3Current streak

6–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

trainBest map · 86% over 7overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
anubis	C	19	7–12	37%	0.05
nuke	A	18	10–8	56%	0.07
inferno	A	15	9–6	60%	0.05
cache	S	11	8–3	73%	0.08
ancient	A	10	6–4	60%	0.07
train	S	7	6–1	86%	0.19
mirage	A	5	3–2	60%	0.05
overpass	D	5	1–4	20%	0.01
dust2	—	4	2–2	50%	0.05
office	—	2	2–0	100%	0.19
vertigo	—	2	2–0	100%	0.07
canopy	—	1	0–1	0%	-0.00
splinter	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

456,426Lifetime kills

1.04K/D

11,733Matches

49.4%Match win rate · Top 50% of Level 10 players

59.2%Headshot % · Top 25% of Level 10 players

14.0%Shot accuracy · Top 50% of Level 10 players

43,476MVPs

35,941Hours (in match)

14,050Bombs planted

4,166Bombs defused

Most-used weapons

AK-47178,187

M4A4 / M4A1-S66,160

P2000 / USP-S58,966

AWP33,997

Desert Eagle25,989

Glock-1812,511

Knife10,378

MP96,633

Galil AR6,480

P2506,370

Lifetime map wins

16,949inferno

11,445vertigo

11,074nuke

4,479train

4,428dust2

3,286office

1,863cbble

656lake

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

Faceit stats

Combat

3,708Matches

58%Win rate

1.49Avg K/D

89.2ADR

49%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	309	63%	1.22	16.9
Anubis	207	58%	1.24	16.8
Nuke	161	55%	1.32	17.4
Mirage	155	55%	1.14	16.0
Inferno	145	62%	1.30	16.4
Vertigo	64	67%	1.28	17.7
Overpass	55	65%	1.51	19.1
Train	51	69%	1.44	17.8

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.

26.5%Headshot accuracy

39.2%Accuracy (enemy spotted)

40.8%Spray accuracy

86.8%Counter-strafing

10.0°Preaim

502msReaction time

36.4%T opening success

57.2%CT opening success

0.57Enemies flashed / flash

15.8%Flash assists

6.84HE damage / grenade

13.00Flashes / 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.

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 36.3852% — below the 40% mark we flag

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–4	0.11	24%	27 Aug →
inferno	9–1	0.10	27%	27 Aug →
cache	13–6	0.12	21%	27 Aug →
mirage	8–13	0.04	30%	23 Aug →
nuke	16–13	0.03	20%	23 Aug →
inferno	13–8	0.03	21%	21 Aug →
inferno	6–13	-0.01	38%	20 Aug →
ancient	13–16	0.04	24%	20 Aug →
canopy	1–13	-0.00	9%	19 Aug →
anubis	11–13	0.06	31%	19 Aug →
nuke	5–13	0.03	32%	18 Aug →
dust2	1–13	-0.04	50%	15 Aug →
splinter	19–17	-0.00	20%	15 Aug →
anubis	2–5	0.16	4%	15 Aug →
cache	13–9	0.01	36%	7 Aug →
nuke	13–5	0.19	31%	7 Aug →
anubis	10–13	0.05	30%	7 Aug →
nuke	13–2	0.23	25%	21 Jul →
cache	13–2	0.08	17%	21 Jul →
dust2	13–9	0.09	16%	21 Jul →
mirage	9–13	0.08	23%	21 Jul →
anubis	13–6	0.07	33%	17 Jul →
ancient	12–4	0.15	28%	17 Jul →
cache	13–8	0.06	27%	17 Jul →
nuke	2–13	-0.00	32%	16 Jul →
cache	13–8	0.07	24%	12 Jul →
ancient	13–7	0.09	24%	12 Jul →
cache	10–13	0.02	27%	12 Jul →
inferno	13–16	0.02	26%	12 Jul →
anubis	13–6	0.02	41%	9 Jul →
inferno	13–11	0.16	26%	9 Jul →
office	13–1	0.18	18%	8 Jul →
overpass	13–11	0.03	26%	2 Jul →
inferno	3–13	0.05	38%	2 Jul →
anubis	10–13	0.02	22%	2 Jul →
nuke	7–13	0.05	40%	1 Jul →
mirage	13–7	-0.00	27%	29 Jun →
anubis	13–5	-0.00	17%	29 Jun →
ancient	9–13	-0.01	19%	29 Jun →
nuke	5–13	0.01	32%	29 Jun →
mirage	13–5	0.05	16%	29 Jun →
nuke	13–2	0.05	30%	29 Jun →
inferno	13–11	0.05	38%	28 Jun →
anubis	5–13	-0.01	19%	28 Jun →
nuke	13–7	0.03	29%	28 Jun →
overpass	5–13	-0.09	19%	27 Jun →
anubis	5–13	-0.09	22%	27 Jun →
inferno	13–10	0.00	23%	10 Jun →
overpass	5–13	0.09	25%	8 Jun →
anubis	8–13	0.07	26%	7 Jun →
inferno	6–13	0.05	31%	7 Jun →
ancient	13–5	0.14	35%	7 Jun →
anubis	13–7	0.13	26%	7 Jun →
train	13–4	0.28	38%	7 Jun →
train	13–8	0.15	37%	7 Jun →
train	13–0	0.23	31%	7 Jun →
nuke	13–6	0.16	41%	6 Jun →
train	13–8	0.20	39%	6 Jun →
train	12–12	0.10	30%	6 Jun →
anubis	9–13	0.10	25%	5 Jun →
vertigo	13–6	0.10	43%	5 Jun →
vertigo	13–8	0.04	24%	5 Jun →
nuke	4–13	-0.01	36%	2 Jun →
nuke	13–7	0.02	24%	2 Jun →
ancient	13–1	0.02	31%	2 Jun →
anubis	13–9	0.06	32%	30 May →
nuke	4–13	0.13	22%	30 May →
inferno	13–5	-0.02	24%	30 May →
nuke	5–13	0.01	24%	27 May →
anubis	8–13	0.06	32%	18 May →
dust2	6–13	0.06	21%	18 May →
overpass	15–15	0.08	29%	15 May →
ancient	1–13	-0.05	24%	15 May →
inferno	13–3	0.11	25%	14 May →
office	13–8	0.20	37%	14 May →
anubis	13–7	0.02	27%	13 May →
inferno	3–13	-0.04	25%	13 May →
mirage	13–8	0.09	11%	13 May →
nuke	13–11	0.10	22%	10 May →
cache	13–11	0.13	18%	9 May →
cache	6–13	0.07	33%	9 May →
inferno	3–13	0.06	20%	9 May →
dust2	13–7	0.09	43%	8 May →
nuke	22–19	0.04	20%	2 May →
inferno	13–9	0.07	18%	1 May →
cache	12–12	0.07	21%	1 May →
anubis	11–13	0.09	14%	1 May →
ancient	11–13	0.06	30%	30 Apr →
inferno	13–7	0.11	38%	30 Apr →
anubis	13–16	-0.01	28%	30 Apr →
anubis	13–8	0.11	17%	29 Apr →
cache	13–0	0.10	19%	29 Apr →
cache	13–5	0.14	31%	29 Apr →
nuke	11–13	0.01	25%	26 Apr →
ancient	13–7	0.12	49%	26 Apr →
overpass	0–13	-0.04	13%	26 Apr →
nuke	13–7	0.13	29%	25 Apr →
train	13–3	0.14	42%	25 Apr →
train	13–6	0.25	47%	25 Apr →
anubis	8–13	-0.04	34%	22 Apr →