flameZhe — CS2 Stats

CA76561198963969301[U:1:1003703573]Steam profile ↗

527Tracked matches57%Win rate2023Tracked since

2,442Hours in CS8Hrs last 2 wks

CSDB Rating4.0 Developing

Premier CS Rating13,752Blue band · top ~35% of ranked players (population est.)

CSDB Leaderboard#25011 of 38458 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	34.3%	41.4%	44.2%	9.9% short
Shot accuracy	6.9%	9.0%	11.6%	4.7% short
Kill/death ratio	0.85	0.97	1.03	0.18 short
Match win rate	49.0%	43.7%	45.2%	above

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple 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

Aim39

Positioning46

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateTLWLLWLWWT

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim3.9

Aggression4.3

Utility4.4

Positioning4.6

Opening Duels1.9

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 NiKo 78% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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 47% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9

Positioning4.6

Utility4.4

Mechanics3.3

Opening Duels2.2

Win Impact7.4

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time587ms−37ms

first ⅓ avg 624ms → last ⅓ avg 587ms

Headshot accuracy12.3%−1.4%

first ⅓ avg 13.6% → last ⅓ avg 12.3%

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

0.10Best rating — mirage 13–2

13–2Biggest win — mirage

4Longest win streak

3–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 67% over 24cacheWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	24	16–8	67%	-0.01
nuke	B	19	10–9	53%	-0.02
ancient	B	19	9–10	47%	-0.03
cache	D	13	2–11	15%	-0.03
mirage	C	12	5–7	42%	-0.02
dust2	B	8	4–4	50%	-0.03
anubis	C	5	2–3	40%	-0.03

Across the last 100 tracked matches.

Lifetime stats

72,274Lifetime kills

0.85K/D

4,179Matches

49.0%Match win rate · Top 25% of Blue band

34.3%Headshot %

6.9%Shot accuracy

6,231MVPs

1,757Hours (in match)

1,904Bombs planted

836Bombs defused

Most-used weapons

AK-4722,100

M4A4 / M4A1-S16,149

AWP3,951

P2000 / USP-S3,887

Galil AR3,769

Glock-183,006

Negev2,188

MAC-102,019

MP91,802

Desert Eagle1,800

Lifetime map wins

13,311inferno

4,709dust2

1,993nuke

1,698vertigo

259train

88cbble

49office

33italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.4%Headshot accuracy

29.5%Accuracy (enemy spotted)

32.0%Spray accuracy

64.6%Counter-strafing

9.9°Preaim

584msReaction time

28.1%T opening success

47.5%CT opening success

0.51Enemies flashed / flash

3.9%Flash assists

9.29HE damage / grenade

4.03Flashes / 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 12.4356% — below the 15% mark we flag
Aim Training →
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 28.0641% — 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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	15–15	-0.08	9%	19 Aug →
mirage	6–13	-0.08	6%	19 Aug →
nuke	13–9	-0.04	11%	18 Aug →
ancient	11–13	-0.01	16%	18 Aug →
inferno	4–13	-0.04	7%	18 Aug →
mirage	13–8	-0.04	16%	17 Aug →
cache	12–16	-0.04	14%	17 Aug →
ancient	13–6	0.02	9%	17 Aug →
inferno	13–11	-0.06	12%	17 Aug →
inferno	12–12	-0.08	17%	17 Aug →
inferno	13–6	0.04	12%	17 Aug →
dust2	2–13	-0.05	14%	16 Aug →
inferno	9–13	-0.04	11%	16 Aug →
ancient	13–9	0.02	13%	15 Aug →
inferno	13–10	0.02	9%	15 Aug →
dust2	13–9	-0.00	19%	15 Aug →
mirage	7–13	-0.05	8%	15 Aug →
dust2	4–13	-0.05	13%	14 Aug →
inferno	16–13	0.00	9%	14 Aug →
nuke	13–7	0.02	21%	14 Aug →
nuke	13–6	0.01	12%	13 Aug →
nuke	13–10	-0.03	11%	13 Aug →
ancient	8–13	-0.08	9%	13 Aug →
inferno	16–13	0.04	9%	13 Aug →
inferno	3–13	-0.06	13%	12 Aug →
nuke	16–12	-0.03	17%	11 Aug →
ancient	13–10	-0.04	15%	9 Aug →
ancient	4–13	-0.08	14%	9 Aug →
anubis	6–13	-0.03	17%	9 Aug →
nuke	13–5	0.09	10%	9 Aug →
cache	3–13	-0.06	19%	7 Aug →
ancient	9–13	-0.08	4%	7 Aug →
nuke	16–14	-0.06	10%	7 Aug →
ancient	5–13	-0.03	15%	7 Aug →
inferno	13–6	0.07	16%	7 Aug →
ancient	13–8	-0.08	10%	7 Aug →
cache	5–13	0.02	20%	6 Aug →
nuke	13–4	0.02	12%	6 Aug →
inferno	9–13	-0.07	18%	6 Aug →
mirage	13–2	0.10	27%	6 Aug →
ancient	13–9	-0.05	23%	4 Aug →
inferno	13–8	0.04	19%	3 Aug →
mirage	4–13	-0.07	10%	3 Aug →
ancient	8–13	-0.03	23%	3 Aug →
mirage	15–15	0.01	6%	3 Aug →
nuke	13–8	-0.07	11%	3 Aug →
nuke	10–13	-0.03	19%	2 Aug →
nuke	6–13	0.03	11%	2 Aug →
anubis	13–11	-0.07	12%	2 Aug →
ancient	9–13	-0.05	9%	2 Aug →
ancient	6–13	-0.04	14%	2 Aug →
nuke	10–13	-0.01	12%	2 Aug →
ancient	9–13	-0.07	19%	1 Aug →
inferno	13–10	0.07	14%	1 Aug →
cache	8–13	0.04	4%	1 Aug →
inferno	5–13	-0.09	23%	1 Aug →
anubis	8–13	-0.05	10%	1 Aug →
nuke	13–10	-0.04	18%	1 Aug →
inferno	13–6	0.01	21%	1 Aug →
cache	14–16	-0.05	18%	31 Jul →
anubis	13–10	0.04	25%	31 Jul →
inferno	13–8	-0.02	12%	30 Jul →
ancient	11–13	-0.02	13%	30 Jul →
inferno	13–10	-0.06	10%	29 Jul →
mirage	6–13	-0.02	11%	29 Jul →
dust2	13–8	-0.07	11%	29 Jul →
nuke	1–13	-0.07	9%	29 Jul →
dust2	13–7	-0.02	16%	29 Jul →
inferno	13–6	-0.08	16%	29 Jul →
nuke	7–13	-0.07	9%	28 Jul →
inferno	13–5	0.07	14%	28 Jul →
nuke	12–12	-0.04	11%	28 Jul →
cache	13–5	-0.02	11%	28 Jul →
mirage	13–9	-0.06	13%	27 Jul →
cache	13–9	0.01	23%	27 Jul →
anubis	8–13	-0.03	22%	26 Jul →
inferno	13–6	-0.01	11%	26 Jul →
ancient	13–6	-0.01	3%	26 Jul →
mirage	5–13	-0.01	18%	26 Jul →
cache	5–13	0.00	14%	26 Jul →
mirage	13–7	0.01	16%	26 Jul →
dust2	4–4	-0.04	22%	26 Jul →
mirage	13–9	-0.06	12%	25 Jul →
nuke	6–13	-0.09	4%	25 Jul →
ancient	13–8	0.06	8%	25 Jul →
cache	8–13	-0.05	16%	25 Jul →
inferno	13–7	-0.02	18%	24 Jul →
inferno	1–13	-0.06	16%	24 Jul →
nuke	15–15	-0.03	14%	23 Jul →
ancient	13–3	0.00	12%	23 Jul →
cache	10–13	-0.05	14%	23 Jul →
inferno	8–13	-0.01	11%	21 Jul →
inferno	13–9	0.03	14%	21 Jul →
cache	1–13	-0.04	8%	21 Jul →
ancient	13–5	0.04	13%	21 Jul →
mirage	7–13	-0.02	18%	20 Jul →
dust2	13–4	0.00	14%	19 Jul →
cache	10–13	-0.01	12%	19 Jul →
nuke	8–13	-0.01	13%	18 Jul →
dust2	3–13	-0.03	13%	18 Jul →