TRAM — CS2 Stats

76561199428895294[U:1:1468629566]Steam profile ↗✓ No bans

939Tracked matches34%Win rate2023Tracked since

1,022Hours in CS29Hrs last 2 wks

CSDB Rating3.0 LearningPositional Player

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

+35Tracked matches · now 939

−8.4ppWin rate · 42.9% → 34.5%

Rating over time

30Days played since 2026-09-08

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 median	Level 5 median	vs Level 5
Headshot rate	33.7%	42.7%	43.8%	10.1% short
Shot accuracy	1.8%	11.2%	12.0%	10.2% short
Kill/death ratio	0.64	0.99	1.02	0.37 short
Match win rate	36.3%	43.9%	44.7%	8.4% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim32

Positioning41

Utility15

0–100 skill scores via Leetify.

Recent form

COLD35–60–5Last 10035%Win rateWWLLLLLLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +2.5pp headshot accuracy · +59ms 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 -0.06
Avg headshot accuracy 14%
Avg reaction 725ms

Last 10

3–7 · 30% win rate
Avg rating -0.06
Avg headshot accuracy 16%
Avg reaction 750ms

Last 20

7–12–1 · 35% win rate
Avg rating -0.06
Avg headshot accuracy 15%
Avg reaction 721ms

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 (+2.7 against its own average).

Aim3.2

Utility1.5

Positioning4.1

Opening Duels0.0

Clutch0.0

Strong T-side openerLimited utility dependence

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

Plays most like jL 79% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 48% on T to 21% on CT — first contacts on the defending side are being lost.

Reaction time. 687ms 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

Aim3.2

Positioning4.1

Utility1.5

Mechanics5.3

Opening Duels2.3

Win Impact0.0

Composite 3.0/10 (Learning), 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-0.06−0.02

first ⅓ avg -0.04 → last ⅓ avg -0.06

Reaction time667ms+12ms

first ⅓ avg 655ms → last ⅓ avg 667ms

Headshot accuracy14.2%+0.6%

first ⅓ avg 13.6% → last ⅓ avg 14.2%

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

0.12Best match rating · 13–4 · dust2, 10 Sept →

50%Best headshot accuracy · 0–2 · vertigo, 9 Oct →

313msFastest reaction time · 2–4 · anubis, 11 Oct →

13–0Biggest win · vertigo, 27 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W2Current streak

6–11In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 42% over 31mirageWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
vertigo	C	31	13–18	42%	-0.07
dust2	C	24	10–14	42%	-0.06
inferno	D	14	3–11	21%	-0.07
cache	C	8	3–5	38%	-0.03
mirage	D	7	1–6	14%	-0.08
nuke	D	5	1–4	20%	0.00
anubis	—	4	3–1	75%	-0.05
ancient	—	3	0–3	0%	-0.08
train	—	1	0–1	0%	-0.06
overpass	—	1	0–1	0%	-0.06
fachwerk	—	1	1–0	100%	-0.09
office	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,801Lifetime kills

0.64K/D

1,288Matches

36.3%Match win rate

33.7%Headshot %

1.8%Shot accuracy

1,593MVPs

418Hours (in match)

1,121Bombs planted

139Bombs defused

Most-used weapons

M4A4 / M4A1-S4,356

AK-474,291

AWP3,070

Desert Eagle1,544

P2000 / USP-S909

Glock-18745

MAC-10504

SSG 08348

FAMAS254

Galil AR232

Lifetime map wins

3,092dust2

1,665inferno

1,432vertigo

581nuke

103office

57train

13cbble

10ar_shoots

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

Faceit stats

Combat

10Matches

50%Win rate

0.62Avg K/D

59.1ADR

30%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	4	50%	0.51	8.3
Mirage	2	100%	1.14	18.0
Anubis	2	0%	0.50	10.0
Inferno	2	50%	0.42	6.0

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.

14.6%Headshot accuracy

25.0%Accuracy (enemy spotted)

32.9%Spray accuracy

73.8%Counter-strafing

10.2°Preaim

687msReaction time

48.4%T opening success

21.1%CT opening success

0.29Enemies flashed / flash

4.3%Flash assists

9.21HE damage / grenade

0.67Flashes / 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 14.5531% — 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 0.2925 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 21.1466% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–9	-0.03	17%	2 Nov →
inferno	13–6	-0.06	10%	2 Nov →
mirage	11–13	-0.07	22%	2 Nov →
train	0–13	-0.06	9%	1 Nov →
dust2	11–13	-0.05	14%	1 Nov →
dust2	11–13	-0.05	12%	1 Nov →
dust2	7–13	-0.08	6%	1 Nov →
mirage	1–13	-0.10	10%	1 Nov →
anubis	9–0	-0.01	44%	31 Oct →
vertigo	7–13	-0.11	17%	31 Oct →
vertigo	13–9	-0.07	10%	31 Oct →
dust2	13–11	-0.04	25%	31 Oct →
vertigo	13–10	-0.02	20%	31 Oct →
vertigo	12–12	-0.04	26%	31 Oct →
vertigo	11–13	-0.06	13%	30 Oct →
cache	8–13	-0.06	2%	29 Oct →
mirage	13–8	-0.05	7%	29 Oct →
mirage	10–13	-0.11	6%	29 Oct →
inferno	4–13	-0.11	12%	29 Oct →
ancient	6–13	-0.05	15%	29 Oct →
vertigo	3–13	-0.09	11%	28 Oct →
dust2	13–10	-0.04	15%	28 Oct →
vertigo	13–0	-0.09	21%	27 Oct →
vertigo	11–13	-0.09	15%	23 Oct →
vertigo	13–7	-0.07	15%	23 Oct →
dust2	7–13	-0.08	18%	22 Oct →
vertigo	3–13	-0.03	16%	21 Oct →
inferno	3–13	-0.07	8%	21 Oct →
dust2	5–13	-0.12	16%	21 Oct →
nuke	7–13	0.06	14%	21 Oct →
vertigo	13–1	-0.03	6%	21 Oct →
dust2	12–12	-0.01	7%	20 Oct →
inferno	9–13	-0.06	9%	20 Oct →
vertigo	13–9	-0.08	11%	20 Oct →
dust2	4–13	-0.09	9%	20 Oct →
mirage	12–12	-0.03	13%	16 Oct →
vertigo	4–13	-0.10	13%	16 Oct →
dust2	8–13	-0.06	15%	15 Oct →
vertigo	13–4	-0.08	13%	15 Oct →
anubis	2–4	-0.07	14%	11 Oct →
ancient	7–13	-0.10	15%	11 Oct →
vertigo	10–13	-0.07	15%	11 Oct →
dust2	13–5	-0.09	16%	11 Oct →
vertigo	0–2	-0.09	50%	9 Oct →
overpass	12–12	-0.06	18%	8 Oct →
dust2	4–13	-0.06	5%	8 Oct →
cache	11–13	-0.02	17%	8 Oct →
inferno	13–10	-0.09	16%	8 Oct →
mirage	6–13	-0.09	14%	7 Oct →
dust2	13–9	-0.13	17%	7 Oct →
vertigo	13–11	-0.10	6%	7 Oct →
inferno	7–13	-0.08	0%	7 Oct →
cache	13–6	-0.10	13%	7 Oct →
vertigo	1–13	-0.08	0%	6 Oct →
dust2	5–13	-0.11	7%	6 Oct →
dust2	13–10	-0.05	6%	6 Oct →
inferno	2–13	-0.06	10%	6 Oct →
dust2	13–11	-0.11	10%	5 Oct →
vertigo	13–2	-0.05	16%	4 Oct →
inferno	7–13	-0.10	4%	4 Oct →
vertigo	13–6	-0.06	7%	25 Sept →
cache	1–13	-0.06	0%	25 Sept →
inferno	2–13	-0.10	7%	25 Sept →
fachwerk	13–11	-0.09	15%	25 Sept →
dust2	13–11	-0.08	15%	22 Sept →
office	0–9	-0.06	0%	19 Sept →
vertigo	10–13	-0.06	6%	19 Sept →
vertigo	11–13	-0.04	10%	19 Sept →
inferno	13–10	-0.09	9%	19 Sept →
anubis	13–6	-0.10	0%	19 Sept →
vertigo	13–3	-0.03	13%	18 Sept →
dust2	13–5	-0.02	28%	18 Sept →
vertigo	3–13	-0.06	19%	18 Sept →
cache	4–13	-0.09	15%	13 Sept →
vertigo	2–13	-0.03	27%	13 Sept →
dust2	9–13	-0.09	13%	12 Sept →
vertigo	9–13	-0.09	13%	12 Sept →
vertigo	2–13	-0.11	0%	12 Sept →
ancient	2–13	-0.09	17%	12 Sept →
vertigo	9–13	-0.10	7%	11 Sept →
nuke	10–13	-0.03	18%	11 Sept →
inferno	12–12	-0.07	13%	11 Sept →
cache	13–4	0.02	14%	11 Sept →
vertigo	11–13	-0.05	13%	11 Sept →
dust2	3–13	-0.10	3%	11 Sept →
vertigo	13–9	-0.05	16%	11 Sept →
dust2	5–13	-0.10	0%	11 Sept →
nuke	11–13	0.04	14%	10 Sept →
mirage	4–13	-0.09	15%	10 Sept →
anubis	13–10	-0.02	8%	10 Sept →
dust2	13–4	0.12	21%	10 Sept →
inferno	10–13	-0.04	13%	9 Sept →
cache	3–3	0.00	0%	9 Sept →
dust2	13–8	0.05	11%	9 Sept →
nuke	13–2	0.00	40%	9 Sept →
dust2	6–13	-0.01	22%	9 Sept →
nuke	8–13	-0.05	15%	9 Sept →
cache	7–13	0.03	15%	9 Sept →
inferno	5–13	-0.03	12%	9 Sept →
inferno	5–13	-0.10	17%	8 Sept →