Tehflamflam — CS2 Stats

76561198338217499[U:1:377951771]

1,153Tracked matches62%Win rate2023Tracked since

1,585Hours in CS30Hrs last 2 wks

CSDB Rating3.6 Learning

Premier CS Rating6,528Light Blue band · top ~71.5% of ranked players (population est.)

CSDB Leaderboard#40940 of 54228 tracked

WingmanSilver Elite Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=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	Light Blue band median	Blue band median	vs Blue band
Headshot rate	32.0%	39.7%	41.4%	9.4% short
Shot accuracy	4.1%	6.7%	9.0%	4.9% short
Kill/death ratio	0.86	0.91	0.97	0.11 short
Match win rate	41.4%	42.1%	43.7%	2.3% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Aim32

Positioning40

Utility35

0–100 skill scores via Leetify.

Recent form

COLD58–34–8Last 10058%Win rateLWLLLLWLLW

Last 10 vs previous 10: -40pp win rate · -0.00 avg rating

Player DNA

Aim3.2

Aggression3.9

Utility3.5

Positioning4.0

Opening Duels0.6

Clutch6.0

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 70% playstyle similarity

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

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

Reaction time. 639ms 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

Positioning4.0

Utility3.5

Mechanics5.0

Opening Duels0.9

Win Impact9.0

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time648ms−23ms

first ⅓ avg 671ms → last ⅓ avg 648ms

Headshot accuracy9.9%−0.3%

first ⅓ avg 10.2% → last ⅓ avg 9.9%

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

0.21Best rating — inferno 9–2

13–1Biggest win — cache

6Longest win streak

8–4In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 71% over 7dust2Weakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	60	34–26	57%	-0.01
inferno	A	12	7–5	58%	0.01
nuke	S	7	5–2	71%	0.03
dust2	D	6	2–4	33%	-0.02
ancient	A	5	3–2	60%	-0.01
mirage	—	3	2–1	67%	-0.02
anubis	—	3	2–1	67%	-0.03
overpass	—	2	1–1	50%	0.04
train	—	2	2–0	100%	0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,353Lifetime kills

0.86K/D

2,408Matches

41.4%Match win rate

32.0%Headshot %

4.1%Shot accuracy

3,592MVPs

778Hours (in match)

1,433Bombs planted

342Bombs defused

Most-used weapons

AK-478,258

M4A4 / M4A1-S6,306

AWP2,732

MP92,212

MAC-101,910

MP71,436

P2000 / USP-S1,391

Glock-181,317

UMP-45752

Desert Eagle588

Lifetime map wins

4,402dust2

2,862inferno

1,539nuke

215train

93vertigo

72dust

54safehouse

48lake

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

Faceit stats

Combat

2Matches

0%Win rate

0.54Avg K/D

74.2ADR

16%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	1	0%	0.17	3.0
Inferno	1	0%	0.91	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.

9.6%Headshot accuracy

30.8%Accuracy (enemy spotted)

33.0%Spray accuracy

72.3%Counter-strafing

12.0°Preaim

639msReaction time

27.4%T opening success

37.0%CT opening success

0.55Enemies flashed / flash

1.6%Flash assists

8.45HE damage / grenade

2.20Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0406° — above the 12° mark we flag
Aim Training →
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 9.6067% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.202 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	10–13	-0.01	8%	31 Aug →
cache	13–1	0.06	12%	30 Aug →
cache	6–13	-0.06	9%	30 Aug →
cache	8–13	-0.03	11%	30 Aug →
dust2	6–13	-0.07	4%	30 Aug →
cache	5–13	0.03	13%	30 Aug →
cache	13–8	-0.05	17%	29 Aug →
dust2	11–13	-0.07	10%	29 Aug →
ancient	10–13	-0.02	5%	29 Aug →
cache	13–4	0.03	18%	29 Aug →
cache	13–8	0.00	15%	29 Aug →
cache	13–11	-0.03	6%	28 Aug →
mirage	13–6	-0.03	9%	28 Aug →
overpass	12–12	0.03	10%	27 Aug →
inferno	9–4	-0.03	7%	27 Aug →
cache	13–11	-0.05	8%	26 Aug →
cache	9–13	0.02	9%	23 Aug →
inferno	9–13	-0.05	3%	23 Aug →
cache	13–9	0.02	10%	23 Aug →
cache	13–3	-0.02	10%	22 Aug →
inferno	13–7	0.02	1%	22 Aug →
ancient	8–13	-0.05	8%	22 Aug →
cache	13–4	-0.04	4%	21 Aug →
inferno	9–4	0.06	18%	21 Aug →
inferno	6–9	0.05	12%	21 Aug →
cache	8–13	0.03	7%	21 Aug →
ancient	13–9	-0.04	19%	21 Aug →
nuke	13–8	0.03	7%	21 Aug →
inferno	13–7	0.04	16%	21 Aug →
cache	13–11	-0.02	13%	20 Aug →
cache	13–7	-0.00	10%	20 Aug →
dust2	13–9	-0.01	9%	20 Aug →
cache	3–13	-0.07	7%	20 Aug →
cache	13–1	-0.03	5%	19 Aug →
cache	3–13	-0.02	17%	19 Aug →
cache	7–13	-0.02	11%	18 Aug →
nuke	13–6	0.07	8%	18 Aug →
dust2	10–13	-0.02	14%	16 Aug →
cache	7–13	0.01	18%	16 Aug →
cache	13–6	-0.04	14%	16 Aug →
cache	13–6	0.03	13%	16 Aug →
cache	13–5	0.10	6%	16 Aug →
cache	13–2	0.01	4%	16 Aug →
cache	13–3	-0.01	14%	15 Aug →
inferno	5–13	-0.05	7%	15 Aug →
dust2	13–7	0.04	7%	15 Aug →
ancient	13–2	0.05	6%	14 Aug →
nuke	13–2	0.04	14%	14 Aug →
inferno	13–6	-0.02	13%	13 Aug →
train	13–5	0.08	10%	13 Aug →
cache	13–11	0.01	9%	12 Aug →
cache	3–13	-0.09	8%	12 Aug →
cache	13–3	-0.03	10%	11 Aug →
cache	13–4	-0.04	20%	11 Aug →
cache	12–12	-0.06	2%	11 Aug →
cache	13–5	0.04	11%	10 Aug →
cache	8–13	-0.01	9%	9 Aug →
cache	12–12	-0.05	8%	9 Aug →
cache	5–13	-0.04	16%	8 Aug →
cache	13–9	0.04	16%	8 Aug →
cache	13–4	0.06	9%	8 Aug →
cache	13–3	0.00	3%	8 Aug →
cache	12–12	0.02	17%	8 Aug →
cache	7–0	-0.02	14%	8 Aug →
cache	13–11	-0.06	10%	7 Aug →
cache	6–13	-0.03	10%	6 Aug →
cache	12–12	0.11	0%	6 Aug →
cache	13–6	-0.06	9%	6 Aug →
mirage	13–8	0.01	7%	5 Aug →
dust2	2–13	-0.01	10%	5 Aug →
cache	13–1	0.07	15%	5 Aug →
cache	12–12	-0.05	13%	5 Aug →
cache	2–13	-0.16	5%	5 Aug →
cache	13–6	0.02	14%	4 Aug →
cache	10–13	0.02	9%	4 Aug →
cache	5–13	-0.07	12%	3 Aug →
cache	13–10	0.05	6%	1 Aug →
mirage	11–13	-0.04	7%	1 Aug →
nuke	13–11	0.06	9%	1 Aug →
inferno	9–2	0.21	15%	1 Aug →
nuke	13–11	-0.00	7%	1 Aug →
cache	10–0	0.09	15%	1 Aug →
cache	13–10	-0.01	12%	31 Jul →
train	13–7	0.01	7%	31 Jul →
nuke	12–12	-0.03	4%	31 Jul →
ancient	13–10	0.01	9%	30 Jul →
anubis	13–8	-0.06	7%	30 Jul →
inferno	13–9	-0.05	9%	30 Jul →
anubis	4–13	0.01	7%	30 Jul →
inferno	8–13	-0.03	7%	30 Jul →
anubis	13–6	-0.04	9%	30 Jul →
cache	12–12	-0.02	10%	29 Jul →
nuke	11–13	0.03	14%	29 Jul →
cache	5–13	0.06	18%	29 Jul →
overpass	13–2	0.04	18%	28 Jul →
cache	13–5	-0.03	7%	28 Jul →
cache	13–11	-0.01	10%	28 Jul →
cache	3–13	-0.11	17%	28 Jul →
cache	1–13	-0.03	8%	27 Jul →
inferno	11–13	0.02	12%	27 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

34Player 47843410 recent matches together

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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