TramFreak88 — CS2 Stats

AU76561199093071239[U:1:1132805511]Steam profile ↗✓ No bans

6,031Tracked matches63%Win rate2023Tracked since

5,156Hours in CS42Hrs last 2 wks

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating23,820Top 50% of 17,162 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)

CSDB Leaderboard#5166 of 25770 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), 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	Pink band median	Red band median	vs Red band
Headshot rate	45.0%	47.2%	49.9%	4.9% short
Shot accuracy	0.8%	12.7%	13.4%	12.6% short
Kill/death ratio	1.32	1.09	1.12	above
Match win rate	54.1%	46.6%	48.4%	above

This profile matches the typical Red band player on 2 of 4 comparable metrics.

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

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Performance scores

Aim86

Positioning52

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY49–41–10Last 10049%Win rateWWWWLLTLTW

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

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

Aim8.6

Aggression6.6

Utility6.7

Positioning5.2

Opening Duels3.4

Clutch2.8

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective flashes

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 Twistzz 93% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 54% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim8.6

Positioning5.2

Utility6.7

Mechanics8.5

Opening Duels3.4

Win Impact9.3

Composite 7.3/10 (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 rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time568ms+9ms

first ⅓ avg 559ms → last ⅓ avg 568ms

Headshot accuracy16.5%−2.0%

first ⅓ avg 18.5% → last ⅓ avg 16.5%

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 — inferno 13–3

13–1Biggest win — inferno

5Longest win streak

W4Current streak

5–9In matches decided by ≤2 rounds

1Overtime games

Map breakdown

trainBest map · 63% over 8cacheWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	12–14	46%	0.03
mirage	C	22	8–14	36%	0.02
inferno	A	15	9–6	60%	0.04
ancient	B	11	5–6	45%	0.03
train	A	8	5–3	63%	0.04
cache	D	7	1–6	14%	0.02
nuke	—	4	4–0	100%	0.04
vertigo	—	4	4–0	100%	0.03
anubis	—	2	1–1	50%	0.06
overpass	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Lifetime stats

116,476Lifetime kills

1.32K/D · Top 25% of Pink band

6,281Matches

54.1%Match win rate · Top 10% of Pink band

45.0%Headshot %

0.8%Shot accuracy

17,481MVPs

2,306Hours (in match)

5,952Bombs planted

1,855Bombs defused

Most-used weapons

AK-4755,543

M4A4 / M4A1-S28,256

Desert Eagle6,611

P2000 / USP-S6,579

Glock-186,119

MP93,083

FAMAS1,746

AWP1,666

Galil AR1,408

HE Grenade1,105

Lifetime map wins

15,680dust2

9,257inferno

6,450nuke

4,182vertigo

2,869train

132office

33cbble

12italy

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

Faceit stats

Combat

59Matches

53%Win rate

1.41Avg K/D

93.7ADR

42%Headshot %

Clutches & streaks

34%1v1 clutch win

14%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	18	39%	1.30	16.5
Dust2	12	67%	1.31	18.3
Inferno	8	62%	1.28	17.1
Ancient	7	71%	1.76	16.3
Vertigo	6	50%	1.29	18.8
Anubis	4	50%	2.04	22.3
Nuke	2	50%	1.61	13.0
Cache	1	0%	1.11	21.0

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

39.4%Accuracy (enemy spotted)

40.4%Spray accuracy

88.5%Counter-strafing

8.0°Preaim

573msReaction time

33.1%T opening success

54.1%CT opening success

0.71Enemies flashed / flash

8.0%Flash assists

10.34HE damage / grenade

10.16Flashes / 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 33.1399% — below the 40% mark we flag

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–4	0.07	9%	28 Aug →
inferno	13–6	0.10	26%	28 Aug →
ancient	13–2	0.11	15%	28 Aug →
train	13–9	0.02	26%	28 Aug →
cache	11–13	0.09	14%	28 Aug →
dust2	11–13	-0.02	12%	28 Aug →
dust2	12–12	0.07	14%	28 Aug →
mirage	5–13	0.01	16%	28 Aug →
dust2	12–12	0.06	19%	25 Aug →
dust2	13–10	0.08	22%	25 Aug →
overpass	7–13	-0.00	17%	23 Aug →
dust2	4–13	0.01	21%	23 Aug →
nuke	13–9	0.05	12%	22 Aug →
mirage	13–6	0.13	8%	22 Aug →
inferno	13–5	0.02	13%	22 Aug →
cache	10–13	-0.02	14%	22 Aug →
dust2	13–8	-0.01	14%	22 Aug →
inferno	12–12	0.11	11%	22 Aug →
train	7–0	0.07	5%	22 Aug →
vertigo	13–10	0.04	20%	22 Aug →
mirage	5–13	0.02	12%	22 Aug →
dust2	13–10	-0.01	22%	21 Aug →
mirage	12–2	0.08	21%	21 Aug →
vertigo	13–10	0.04	19%	21 Aug →
dust2	5–13	-0.03	30%	21 Aug →
ancient	9–13	0.05	11%	21 Aug →
mirage	10–13	-0.01	10%	21 Aug →
inferno	13–11	-0.01	21%	18 Aug →
dust2	13–6	0.02	26%	18 Aug →
mirage	13–2	0.03	12%	18 Aug →
dust2	11–13	0.07	17%	18 Aug →
mirage	10–13	-0.03	19%	18 Aug →
ancient	12–12	0.09	16%	18 Aug →
inferno	6–13	-0.01	22%	18 Aug →
mirage	7–13	0.03	10%	18 Aug →
inferno	7–13	-0.01	21%	17 Aug →
ancient	13–7	0.08	12%	17 Aug →
mirage	12–12	0.01	16%	17 Aug →
mirage	12–12	0.01	17%	17 Aug →
mirage	4–13	0.00	12%	17 Aug →
dust2	7–13	-0.00	28%	16 Aug →
cache	13–10	0.04	26%	16 Aug →
dust2	8–13	0.02	26%	16 Aug →
dust2	5–13	0.02	32%	16 Aug →
inferno	13–2	0.07	32%	16 Aug →
train	13–5	0.02	23%	16 Aug →
ancient	13–10	0.06	13%	16 Aug →
ancient	5–13	-0.01	14%	16 Aug →
vertigo	13–5	0.05	21%	16 Aug →
nuke	13–2	0.04	17%	16 Aug →
dust2	13–11	0.04	21%	15 Aug →
dust2	5–13	-0.04	16%	15 Aug →
ancient	12–12	-0.01	17%	15 Aug →
vertigo	13–11	-0.00	21%	15 Aug →
mirage	3–13	-0.03	10%	15 Aug →
train	10–13	0.06	17%	15 Aug →
dust2	12–12	0.01	16%	15 Aug →
mirage	13–10	-0.00	25%	14 Aug →
inferno	13–4	0.05	17%	14 Aug →
train	5–13	-0.01	21%	14 Aug →
cache	6–13	-0.03	12%	14 Aug →
anubis	13–7	0.05	16%	13 Aug →
inferno	13–5	0.07	11%	13 Aug →
anubis	11–13	0.07	12%	13 Aug →
dust2	11–13	0.06	12%	13 Aug →
dust2	13–8	0.02	18%	13 Aug →
dust2	13–8	0.05	15%	13 Aug →
mirage	10–13	0.03	16%	12 Aug →
ancient	5–13	-0.04	16%	12 Aug →
inferno	11–13	-0.05	11%	12 Aug →
nuke	13–10	0.01	13%	12 Aug →
inferno	13–1	0.06	13%	12 Aug →
dust2	2–13	-0.02	25%	12 Aug →
train	10–13	0.04	14%	12 Aug →
inferno	13–5	0.09	13%	12 Aug →
train	13–3	0.11	10%	12 Aug →
mirage	13–9	-0.01	7%	11 Aug →
mirage	4–4	0.04	14%	11 Aug →
mirage	13–3	0.09	21%	11 Aug →
inferno	5–13	-0.07	17%	11 Aug →
ancient	13–1	0.06	14%	11 Aug →
dust2	16–12	0.00	18%	11 Aug →
ancient	13–7	0.01	13%	11 Aug →
cache	11–13	0.02	8%	11 Aug →
mirage	13–6	0.07	18%	10 Aug →
dust2	13–10	0.03	18%	10 Aug →
mirage	4–13	-0.04	26%	10 Aug →
dust2	5–13	-0.05	39%	10 Aug →
mirage	9–13	0.02	22%	10 Aug →
dust2	13–6	0.07	29%	10 Aug →
train	13–6	0.03	27%	9 Aug →
inferno	13–3	0.15	15%	9 Aug →
ancient	11–13	-0.02	28%	9 Aug →
dust2	13–6	0.12	22%	9 Aug →
inferno	11–13	0.05	21%	9 Aug →
cache	12–12	0.07	25%	8 Aug →
mirage	12–12	0.04	20%	8 Aug →
nuke	13–11	0.07	18%	8 Aug →
cache	10–13	-0.05	18%	8 Aug →
mirage	7–13	-0.02	22%	8 Aug →