Flext1 — CS2 Stats

76561198221369220[U:1:261103492]Steam profile ↗

855Tracked matches43%Win rate2023Tracked since

CSDB Rating5.9 SolidAggressive Rifler

Premier CS Rating21,779Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)

CSDB Leaderboard#15605 of 55368 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning48

Utility49

0–100 skill scores via Leetify.

Recent form

COLD47–46–7Last 10047%Win rateLLWLLLLWLW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

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

Aim8.0

Aggression6.9

Utility4.9

Positioning4.8

Opening Duels2.5

Clutch4.6

Strong CT-side opener

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 ropz 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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 51% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0

Positioning4.8

Utility4.9

Mechanics7.5

Opening Duels2.6

Win Impact2.8

Composite 5.9/10 (Solid), 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 rating-0.01−0.05

first ⅓ avg 0.04 → last ⅓ avg -0.01

Reaction time522ms−43ms

first ⅓ avg 565ms → last ⅓ avg 522ms

Headshot accuracy14.8%−0.3%

first ⅓ avg 15.1% → last ⅓ avg 14.8%

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

0.32Best rating — inferno 9–2

13–0Biggest win — mirage

6Longest win streak

L2Current streak

7–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 55% over 11anubisWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	28	13–15	46%	-0.01
ancient	B	21	11–10	52%	0.01
cache	C	12	5–7	42%	0.01
dust2	A	11	6–5	55%	-0.02
nuke	B	10	5–5	50%	0.05
inferno	B	10	5–5	50%	0.02
anubis	C	5	2–3	40%	0.00
vertigo	—	2	0–2	0%	0.02
debris	—	1	0–1	0%	-0.20

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

120Matches

52%Win rate

1.23Avg K/D

82.3ADR

33%Headshot %

Clutches & streaks

43%1v1 clutch win

18%1v2 clutch win

7Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	32	59%	1.32	17.8
Dust2	15	33%	1.06	14.1
Ancient	12	67%	1.32	17.3
Cache	9	67%	1.15	16.0
Nuke	9	44%	1.02	17.3
Anubis	7	57%	1.06	17.1
Overpass	3	0%	0.73	11.7
Inferno	2	100%	1.50	15.5

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.

15.5%Headshot accuracy

38.2%Accuracy (enemy spotted)

35.7%Spray accuracy

83.6%Counter-strafing

8.9°Preaim

527msReaction time

29.4%T opening success

50.7%CT opening success

0.52Enemies flashed / flash

6.9%Flash assists

6.23HE damage / grenade

15.94Flashes / 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 29.4127% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	-0.01	23%	31 Aug →
ancient	7–13	0.01	22%	31 Aug →
cache	13–9	-0.00	21%	30 Aug →
dust2	7–13	-0.06	7%	29 Aug →
cache	7–13	0.02	9%	27 Aug →
anubis	9–13	-0.01	10%	27 Aug →
cache	10–13	-0.04	25%	27 Aug →
dust2	13–6	-0.02	15%	27 Aug →
ancient	4–13	-0.06	28%	26 Aug →
mirage	13–5	0.04	22%	26 Aug →
mirage	2–13	-0.06	6%	26 Aug →
mirage	16–13	0.01	15%	26 Aug →
dust2	13–11	-0.01	19%	25 Aug →
ancient	8–13	-0.02	7%	25 Aug →
dust2	11–13	0.03	13%	25 Aug →
ancient	7–13	-0.02	5%	25 Aug →
mirage	13–6	0.06	23%	24 Aug →
dust2	13–4	0.02	22%	24 Aug →
anubis	9–13	0.01	17%	23 Aug →
dust2	10–13	-0.06	16%	22 Aug →
mirage	13–9	-0.09	18%	22 Aug →
mirage	13–11	0.01	17%	20 Aug →
mirage	13–6	-0.02	13%	20 Aug →
ancient	13–7	0.05	11%	20 Aug →
cache	12–16	-0.02	15%	20 Aug →
mirage	13–0	0.03	0%	20 Aug →
ancient	13–5	0.07	11%	19 Aug →
mirage	8–13	-0.04	21%	19 Aug →
ancient	11–13	-0.07	6%	19 Aug →
mirage	10–13	-0.02	20%	19 Aug →
debris	8–8	-0.20	0%	19 Aug →
anubis	13–8	0.00	8%	18 Aug →
dust2	13–11	0.01	21%	18 Aug →
anubis	16–13	0.01	8%	18 Aug →
mirage	11–13	-0.02	29%	18 Aug →
mirage	7–13	-0.06	23%	18 Aug →
vertigo	6–9	-0.05	21%	17 Aug →
nuke	8–8	0.12	16%	17 Aug →
nuke	5–13	0.05	19%	17 Aug →
cache	0–13	-0.06	18%	17 Aug →
mirage	7–13	-0.03	8%	17 Aug →
dust2	10–13	-0.07	8%	17 Aug →
mirage	16–14	0.02	16%	16 Aug →
nuke	6–13	-0.06	11%	16 Aug →
inferno	2–9	-0.12	13%	15 Aug →
inferno	8–8	-0.03	7%	15 Aug →
inferno	2–9	-0.23	22%	15 Aug →
vertigo	8–8	0.08	10%	15 Aug →
nuke	9–6	0.12	10%	15 Aug →
inferno	9–7	-0.05	18%	15 Aug →
nuke	8–8	0.10	27%	15 Aug →
ancient	13–7	0.02	19%	15 Aug →
ancient	13–8	-0.07	9%	14 Aug →
cache	13–7	0.03	25%	14 Aug →
ancient	11–13	-0.05	13%	14 Aug →
nuke	13–7	0.00	17%	14 Aug →
mirage	11–13	-0.01	17%	12 Aug →
mirage	7–13	-0.08	16%	12 Aug →
inferno	13–6	0.02	23%	12 Aug →
mirage	13–8	0.03	17%	12 Aug →
inferno	13–6	-0.02	19%	12 Aug →
ancient	13–10	0.09	17%	11 Aug →
nuke	13–9	0.02	34%	11 Aug →
nuke	13–8	0.07	19%	11 Aug →
ancient	14–16	0.05	17%	11 Aug →
ancient	13–6	0.03	8%	11 Aug →
ancient	13–10	-0.01	15%	11 Aug →
nuke	13–7	0.06	23%	7 Aug →
ancient	13–11	-0.01	4%	5 Aug →
ancient	13–4	-0.01	7%	5 Aug →
cache	13–6	0.04	22%	5 Aug →
dust2	8–13	-0.04	0%	5 Aug →
mirage	10–13	0.08	25%	5 Aug →
mirage	11–13	-0.01	4%	4 Aug →
dust2	13–2	-0.01	9%	4 Aug →
mirage	6–13	-0.03	13%	4 Aug →
ancient	7–13	0.10	10%	4 Aug →
dust2	13–10	-0.02	6%	4 Aug →
cache	7–13	0.03	20%	4 Aug →
nuke	10–13	0.03	16%	4 Aug →
cache	6–13	0.08	11%	4 Aug →
mirage	9–13	0.01	18%	3 Aug →
mirage	11–13	-0.03	19%	3 Aug →
ancient	10–13	0.07	12%	3 Aug →
mirage	13–10	0.03	14%	3 Aug →
inferno	8–8	0.08	17%	2 Aug →
cache	13–10	0.08	12%	2 Aug →
cache	8–13	0.10	15%	2 Aug →
mirage	13–6	0.03	16%	2 Aug →
ancient	13–4	0.07	9%	1 Aug →
mirage	13–4	0.02	13%	1 Aug →
inferno	9–6	0.17	11%	1 Aug →
inferno	9–2	0.32	30%	1 Aug →
mirage	0–13	-0.07	26%	30 Jul →
mirage	13–10	0.09	19%	29 Jul →
ancient	13–7	-0.04	6%	29 Jul →
cache	13–11	-0.06	12%	29 Jul →
mirage	11–13	-0.04	33%	28 Jul →
ancient	9–13	-0.01	12%	28 Jul →
inferno	8–8	0.09	34%	28 Jul →