flem❗ — CS2 Stats

NE76561198393478924[U:1:433213196]Steam profile ↗✓ No bans

1,210Tracked matches50%Win rate2020Tracked since

2,681Hours in CS

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating16,845Purple band · top ~21.1% of ranked players (population est.)

CSDB Leaderboard#7370 of 12414 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning54

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY42–51–7Last 10042%Win rateTTLWWWWLLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim7.6

Aggression5.4

Utility3.9

Positioning5.4

Opening Duels2.7

Clutch0.8

Strong CT-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.

Your pro match

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim7.6

Positioning5.4

Utility3.9

Mechanics7.5

Opening Duels2.8

Win Impact5.0

Composite 5.9/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time580ms−24ms

first ⅓ avg 604ms → last ⅓ avg 580ms

Headshot accuracy19.2%−0.9%

first ⅓ avg 20.0% → last ⅓ avg 19.2%

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.

Highlights

0.15Best rating — mirage 16–13

13–1Biggest win — nuke

5Longest win streak

2–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 62% over 13infernoWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	21	9–12	43%	-0.00
mirage	B	19	9–10	47%	0.02
ancient	B	15	7–8	47%	-0.01
inferno	D	14	4–10	29%	-0.01
dust2	A	13	8–5	62%	-0.01
cache	B	10	5–5	50%	0.02
vertigo	—	3	0–3	0%	-0.01
office	—	3	0–3	0%	-0.04
anubis	—	2	0–2	0%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,498Lifetime kills

1.05K/D · Top 50% of tracked players

5,893Matches

43.8%Match win rate

40.3%Headshot %

17.3%Shot accuracy · Top 25% of tracked players

15,202MVPs

2,681Hours (in match)

6,218Bombs planted

1,719Bombs defused

Most-used weapons

AK-4738,119

M4A4 / M4A1-S17,810

AWP13,995

P2000 / USP-S6,423

Desert Eagle5,698

Glock-184,128

MP92,150

SG 5532,127

SSG 081,730

MAC-101,572

Lifetime map wins

13,769dust2

6,747inferno

3,687vertigo

2,898nuke

2,423train

1,515office

1,330lake

821cbble

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

Faceit stats

Combat

231Matches

52%Win rate

1.15Avg K/D

73.6ADR

41%Headshot %

Clutches & streaks

24%1v1 clutch win

16%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	14	71%	1.03	13.6
Mirage	11	36%	1.13	17.0
Cache	8	75%	1.02	13.0
Nuke	6	67%	0.95	16.7
Ancient	5	20%	0.84	12.4
Inferno	4	50%	1.46	11.8
Anubis	3	67%	1.25	14.0
Overpass	1	100%	1.13	17.0

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.

19.1%Headshot accuracy

32.9%Accuracy (enemy spotted)

37.9%Spray accuracy

83.8%Counter-strafing

8.5°Preaim

579msReaction time

29.9%T opening success

52.0%CT opening success

0.46Enemies flashed / flash

6.6%Flash assists

7.04HE damage / grenade

3.34Flashes / 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.

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 0.4557 — 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 29.916% — 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.

29% win rate across 14 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
nuke	15–15	-0.02	24%	28 Aug →
mirage	15–15	0.01	9%	28 Aug →
inferno	8–13	0.03	22%	28 Aug →
cache	13–9	0.04	16%	28 Aug →
ancient	13–8	0.01	12%	28 Aug →
ancient	13–7	-0.08	16%	27 Aug →
nuke	13–4	-0.01	12%	27 Aug →
mirage	3–13	-0.03	5%	27 Aug →
ancient	10–13	0.01	19%	27 Aug →
ancient	4–13	-0.06	15%	26 Aug →
dust2	13–8	0.03	16%	26 Aug →
nuke	13–8	0.00	19%	26 Aug →
mirage	16–13	0.15	25%	26 Aug →
nuke	11–13	0.01	26%	25 Aug →
inferno	5–13	-0.01	11%	25 Aug →
mirage	7–13	0.02	25%	25 Aug →
mirage	16–12	0.04	18%	23 Aug →
cache	16–14	-0.02	18%	23 Aug →
dust2	13–9	0.06	31%	23 Aug →
vertigo	6–10	-0.12	36%	22 Aug →
office	9–13	0.00	15%	22 Aug →
inferno	0–13	-0.07	21%	22 Aug →
cache	10–13	-0.04	19%	22 Aug →
nuke	14–16	0.03	16%	22 Aug →
dust2	13–8	0.01	21%	22 Aug →
ancient	2–12	-0.08	25%	22 Aug →
nuke	16–12	0.06	17%	21 Aug →
cache	13–8	0.07	30%	21 Aug →
mirage	9–13	-0.02	18%	21 Aug →
ancient	13–9	0.03	19%	21 Aug →
dust2	9–13	-0.04	13%	21 Aug →
ancient	12–16	0.03	30%	21 Aug →
inferno	13–7	0.05	16%	21 Aug →
mirage	13–4	0.08	11%	20 Aug →
mirage	13–6	0.06	13%	20 Aug →
ancient	13–9	-0.03	11%	8 Aug →
inferno	13–8	-0.03	13%	8 Aug →
nuke	4–13	-0.04	31%	8 Aug →
dust2	13–7	0.00	15%	7 Aug →
ancient	13–8	0.00	11%	7 Aug →
anubis	15–15	0.02	17%	6 Aug →
mirage	13–7	-0.01	18%	5 Aug →
inferno	16–12	0.03	16%	5 Aug →
anubis	11–13	-0.00	20%	5 Aug →
cache	13–8	-0.01	20%	4 Aug →
mirage	13–6	0.09	31%	3 Aug →
ancient	9–13	0.00	24%	3 Aug →
mirage	5–13	-0.06	25%	3 Aug →
mirage	14–16	0.02	12%	31 Jul →
nuke	11–13	-0.02	14%	31 Jul →
inferno	11–13	0.07	18%	23 Jul →
inferno	5–13	0.01	17%	23 Jul →
mirage	11–2	0.01	25%	23 Jul →
vertigo	12–12	0.08	17%	23 Jul →
nuke	13–1	0.09	11%	23 Jul →
cache	7–13	0.12	20%	22 Jul →
nuke	11–13	-0.03	17%	22 Jul →
nuke	13–5	0.04	24%	22 Jul →
cache	7–13	-0.00	19%	22 Jul →
dust2	13–10	0.02	18%	22 Jul →
mirage	8–13	0.02	16%	17 Jul →
nuke	6–9	-0.10	13%	17 Jul →
nuke	8–8	0.04	16%	17 Jul →
inferno	4–9	-0.07	8%	17 Jul →
inferno	8–13	-0.04	6%	17 Jul →
dust2	6–13	-0.06	19%	11 Jul →
inferno	16–13	-0.05	7%	11 Jul →
cache	6–13	0.02	17%	11 Jul →
mirage	13–9	0.01	9%	11 Jul →
ancient	13–5	0.07	18%	11 Jul →
dust2	4–13	-0.03	39%	11 Jul →
mirage	5–13	-0.03	24%	9 Jul →
cache	15–15	-0.02	28%	9 Jul →
nuke	13–7	-0.02	21%	9 Jul →
cache	13–8	0.05	24%	8 Jul →
ancient	9–13	-0.03	18%	8 Jul →
mirage	13–10	0.09	15%	8 Jul →
dust2	5–13	-0.08	6%	7 Jul →
dust2	13–7	0.04	16%	6 Jul →
office	6–13	-0.08	45%	4 Jul →
mirage	7–13	-0.02	28%	4 Jul →
inferno	11–13	-0.02	14%	4 Jul →
dust2	13–8	-0.07	14%	4 Jul →
nuke	11–13	-0.01	17%	4 Jul →
ancient	13–4	0.06	17%	4 Jul →
office	12–12	-0.05	22%	27 Jun →
ancient	11–13	-0.03	11%	25 Jun →
nuke	7–9	-0.10	12%	24 Jun →
nuke	2–13	-0.04	30%	24 Jun →
dust2	10–13	-0.03	24%	24 Jun →
inferno	6–13	0.03	23%	24 Jun →
nuke	13–5	0.03	17%	24 Jun →
dust2	13–7	-0.02	19%	23 Jun →
nuke	3–13	-0.08	6%	17 Jun →
vertigo	4–13	-0.00	28%	17 Jun →
nuke	13–11	0.04	31%	17 Jun →
mirage	5–13	-0.04	10%	17 Jun →
nuke	13–3	0.10	16%	10 Jun →
inferno	3–13	-0.04	20%	10 Jun →
ancient	2–11	-0.03	23%	10 Jun →