TrunksLIVE — CS2 Stats

76561198264317646[U:1:304051918]

1,107Tracked matches59%Win rate2024Tracked since

CSDB Rating6.3 SolidHybrid Rifler

Premier CS Rating18,528Purple band · top ~14.4% of ranked players (population est.)

CSDB Leaderboard#21393 of 45803 tracked

FaceitLevel 8 · 999 ELOTop 31.2% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Rating over time

19,197Peak Premier on CSDB

999Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 999
Next: Level 5 at 1,051 — 52 to go
Reached: Level 4 · Level 3 · Level 2
Level 4 first seen 2026-08-28
Level 3 first seen 2026-08-28

Premier CS Rating

669 below peak (19,197)
Next: Pink band at 20,000 — 1,472 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim69

Positioning59

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY57–38–5Last 10057%Win rateLWLLWLWWTL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9

Aggression8.3

Utility4.9

Positioning5.9

Opening Duels4.1

Clutch5.8

Strong 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 ropz 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; 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

T-side openings. Opening success drops from 56% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim6.9

Positioning5.9

Utility4.9

Mechanics7.0

Opening Duels4.1

Win Impact8.1

Composite 6.3/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time598ms−51ms

first ⅓ avg 649ms → last ⅓ avg 598ms

Headshot accuracy14.3%−1.3%

first ⅓ avg 15.6% → last ⅓ avg 14.3%

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

0.15Best rating — anubis 13–7

13–0Biggest win — nuke

5Longest win streak

10–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 63% over 24infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	24	15–9	63%	0.03
cache	A	20	12–8	60%	0.02
ancient	A	20	12–8	60%	0.02
mirage	A	14	8–6	57%	0.03
anubis	B	8	4–4	50%	0.01
dust2	A	7	4–3	57%	-0.01
inferno	D	6	1–5	17%	0.02
vertigo	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

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

Faceit stats

Combat

113Matches

60%Win rate

1.12Avg K/D

85.6ADR

47%Headshot %

Clutches & streaks

49%1v1 clutch win

28%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	67%	1.18	17.4
Dust2	23	52%	0.98	14.3
Ancient	18	67%	1.19	19.9
Nuke	14	64%	1.17	18.1
Inferno	12	58%	1.06	15.0
Anubis	9	44%	1.13	19.1
Overpass	6	50%	1.08	17.8
Cache	6	83%	1.14	15.5

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.

13.9%Headshot accuracy

38.4%Accuracy (enemy spotted)

39.1%Spray accuracy

81.5%Counter-strafing

10.5°Preaim

603msReaction time

36.4%T opening success

56.1%CT opening success

0.40Enemies flashed / flash

2.0%Flash assists

8.84HE damage / grenade

14.69Flashes / 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.

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 13.9478% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3994 — below the 0.5 mark we flag
Grenade Lineups →
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 36.3586% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	12–16	-0.04	19%	30 Aug →
cache	13–7	0.07	22%	30 Aug →
anubis	10–13	-0.04	12%	30 Aug →
inferno	8–13	-0.03	19%	26 Aug →
mirage	13–7	0.03	14%	21 Aug →
nuke	8–13	-0.03	11%	19 Aug →
nuke	13–11	0.05	23%	19 Aug →
anubis	13–5	-0.02	14%	14 Aug →
nuke	15–15	0.01	9%	14 Aug →
inferno	6–13	0.01	6%	14 Aug →
mirage	13–5	0.03	11%	14 Aug →
ancient	15–15	-0.01	12%	14 Aug →
mirage	10–13	0.02	14%	13 Aug →
cache	13–9	0.02	13%	13 Aug →
ancient	13–7	0.01	9%	13 Aug →
cache	13–8	-0.01	14%	11 Aug →
ancient	13–11	0.00	16%	11 Aug →
nuke	3–13	-0.07	9%	7 Aug →
nuke	13–5	0.03	18%	7 Aug →
mirage	6–13	-0.01	16%	6 Aug →
nuke	13–5	0.08	5%	6 Aug →
anubis	13–9	0.02	18%	6 Aug →
vertigo	9–7	-0.04	22%	6 Aug →
inferno	9–4	0.15	21%	6 Aug →
anubis	13–6	0.02	18%	4 Aug →
cache	14–16	-0.03	14%	4 Aug →
cache	9–13	0.03	13%	2 Aug →
cache	13–11	0.05	18%	1 Aug →
nuke	13–3	0.07	23%	1 Aug →
cache	11–13	-0.01	11%	1 Aug →
cache	13–7	0.03	8%	30 Jul →
anubis	15–15	0.00	13%	30 Jul →
ancient	3–5	0.03	12%	29 Jul →
nuke	10–13	0.01	9%	29 Jul →
nuke	13–4	0.09	16%	29 Jul →
ancient	13–9	0.04	7%	28 Jul →
mirage	13–6	0.05	17%	28 Jul →
nuke	13–0	0.05	18%	28 Jul →
ancient	6–13	-0.01	11%	27 Jul →
cache	4–13	-0.08	19%	27 Jul →
ancient	13–10	0.04	13%	27 Jul →
nuke	10–13	-0.01	13%	27 Jul →
nuke	13–4	0.01	29%	27 Jul →
cache	13–4	0.05	18%	27 Jul →
mirage	13–5	-0.00	23%	26 Jul →
nuke	7–13	0.03	14%	25 Jul →
mirage	13–3	0.08	17%	25 Jul →
mirage	0–13	-0.05	6%	25 Jul →
anubis	11–13	-0.02	16%	25 Jul →
cache	13–8	0.06	13%	25 Jul →
mirage	13–6	-0.05	10%	24 Jul →
cache	9–13	0.04	15%	24 Jul →
cache	8–13	0.02	10%	24 Jul →
nuke	13–9	0.07	23%	24 Jul →
inferno	13–16	-0.03	11%	23 Jul →
ancient	13–9	0.02	10%	23 Jul →
dust2	13–7	0.06	23%	23 Jul →
nuke	13–5	-0.05	12%	23 Jul →
ancient	15–15	0.03	11%	22 Jul →
cache	9–13	0.10	7%	22 Jul →
nuke	16–12	-0.02	10%	22 Jul →
nuke	10–13	0.01	15%	22 Jul →
mirage	13–6	0.06	17%	22 Jul →
nuke	13–3	0.03	4%	22 Jul →
ancient	13–10	0.03	24%	22 Jul →
inferno	13–16	-0.01	7%	20 Jul →
cache	13–11	0.03	14%	20 Jul →
nuke	14–16	0.04	12%	20 Jul →
cache	13–11	-0.00	13%	20 Jul →
ancient	13–10	-0.04	20%	20 Jul →
ancient	9–13	0.01	13%	20 Jul →
cache	13–11	-0.00	6%	19 Jul →
cache	10–13	-0.02	19%	19 Jul →
mirage	14–16	0.03	14%	18 Jul →
ancient	13–6	0.04	8%	18 Jul →
nuke	13–11	0.04	20%	18 Jul →
ancient	6–13	0.08	14%	18 Jul →
dust2	16–13	-0.00	14%	18 Jul →
mirage	13–8	0.05	23%	18 Jul →
inferno	15–15	0.04	14%	17 Jul →
dust2	11–13	-0.06	15%	17 Jul →
cache	13–4	-0.02	19%	16 Jul →
nuke	13–9	0.01	10%	16 Jul →
mirage	2–9	0.13	17%	15 Jul →
ancient	11–13	-0.02	14%	15 Jul →
ancient	13–10	-0.01	15%	15 Jul →
cache	13–11	-0.02	12%	15 Jul →
dust2	13–10	-0.03	22%	15 Jul →
nuke	13–10	0.01	29%	15 Jul →
anubis	13–7	0.15	15%	15 Jul →
nuke	10–13	0.03	16%	15 Jul →
dust2	13–5	-0.03	13%	15 Jul →
dust2	10–13	0.00	28%	14 Jul →
mirage	7–13	0.03	19%	14 Jul →
ancient	7–13	0.04	15%	14 Jul →
ancient	13–10	-0.01	11%	14 Jul →
ancient	13–10	0.03	12%	14 Jul →
dust2	8–13	0.02	9%	14 Jul →
nuke	13–10	0.10	12%	14 Jul →
ancient	13–11	0.07	21%	14 Jul →