𝐀𝐍𝐍𝐄 𝐅𝐋𝐀𝐍𝐊 — CS2 Stats

AU76561198016297121[U:1:56031393]Steam profile ↗

473Tracked matches37%Win rate2023Tracked since

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating25,000Top 25% of 819 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning64

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLWLWWLWWWL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.2

Aggression9.5

Utility6.6

Positioning6.4

Opening Duels4.7

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 device 96% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.2

Positioning6.4

Utility6.6

Mechanics7.1

Opening Duels4.7

Win Impact0.6

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time546ms+44ms

first ⅓ avg 502ms → last ⅓ avg 546ms

Headshot accuracy18.2%−2.1%

first ⅓ avg 20.3% → last ⅓ avg 18.2%

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

0.14Best rating — ancient 13–8

13–0Biggest win — ancient

10Longest win streak

4–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 57% over 14nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	10–9	53%	0.01
inferno	A	14	8–6	57%	0.02
dust2	C	13	5–8	38%	0.03
ancient	B	13	7–6	54%	0.04
anubis	C	13	5–8	38%	0.05
cache	B	12	6–6	50%	0.04
nuke	D	11	3–8	27%	0.01
shelter	—	1	1–0	100%	0.01
fachwerk	—	1	1–0	100%	0.01
boulder	—	1	1–0	100%	0.07
vertigo	—	1	1–0	100%	0.04
overpass	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

73Matches

63%Win rate

1.39Avg K/D

—ADR

34%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWW

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.

17.1%Headshot accuracy

37.4%Accuracy (enemy spotted)

41.1%Spray accuracy

81.9%Counter-strafing

8.9°Preaim

535msReaction time

43.8%T opening success

54.0%CT opening success

0.51Enemies flashed / flash

9.8%Flash assists

12.14HE damage / grenade

12.74Flashes / match

Recommended for you

Spend your practice time on Nuke

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	10–13	0.04	21%	28 Aug →
dust2	13–5	0.02	21%	28 Aug →
ancient	12–16	-0.04	15%	28 Aug →
nuke	13–11	0.08	18%	28 Aug →
mirage	13–9	-0.01	14%	27 Aug →
nuke	0–13	-0.08	25%	27 Aug →
inferno	13–9	0.05	15%	27 Aug →
ancient	13–7	0.07	14%	26 Aug →
anubis	13–5	0.06	14%	26 Aug →
mirage	11–13	-0.03	14%	26 Aug →
dust2	13–5	0.03	19%	25 Aug →
cache	9–13	0.08	25%	25 Aug →
anubis	11–13	0.00	8%	25 Aug →
cache	13–6	0.01	15%	24 Aug →
ancient	13–7	0.05	14%	14 Aug →
anubis	10–13	0.03	13%	12 Aug →
mirage	7–13	-0.01	50%	12 Aug →
cache	4–13	-0.01	18%	9 Aug →
anubis	8–13	0.09	12%	9 Aug →
mirage	9–13	-0.03	13%	5 Aug →
dust2	3–13	-0.05	36%	5 Aug →
inferno	13–10	0.03	21%	4 Aug →
mirage	9–13	0.02	18%	4 Aug →
dust2	7–13	-0.01	7%	31 Jul →
cache	11–13	0.01	20%	31 Jul →
ancient	8–13	0.11	21%	31 Jul →
mirage	8–13	-0.00	14%	31 Jul →
inferno	6–13	-0.06	21%	29 Jul →
mirage	13–5	0.03	16%	29 Jul →
anubis	7–13	0.02	20%	25 Jul →
dust2	9–13	0.08	23%	25 Jul →
cache	1–13	-0.08	7%	25 Jul →
inferno	1–13	-0.07	18%	25 Jul →
ancient	3–13	0.05	28%	25 Jul →
mirage	13–11	0.11	30%	23 Jul →
nuke	13–8	-0.02	18%	23 Jul →
cache	9–13	0.10	28%	23 Jul →
anubis	9–13	0.09	24%	19 Jul →
nuke	2–13	0.02	8%	19 Jul →
anubis	5–13	0.02	14%	18 Jul →
cache	13–8	0.13	14%	18 Jul →
ancient	13–8	0.14	12%	18 Jul →
inferno	10–13	0.09	18%	15 Jul →
mirage	13–10	0.03	20%	15 Jul →
dust2	4–13	0.05	30%	15 Jul →
nuke	5–13	0.01	28%	15 Jul →
inferno	1–13	-0.04	23%	15 Jul →
mirage	9–13	0.01	19%	14 Jul →
cache	4–13	0.09	14%	14 Jul →
anubis	13–11	0.05	22%	14 Jul →
nuke	13–1	-0.00	31%	14 Jul →
ancient	13–5	0.02	27%	11 Jul →
ancient	6–13	0.00	6%	11 Jul →
inferno	13–9	0.10	15%	11 Jul →
mirage	4–13	-0.02	22%	11 Jul →
shelter	13–8	0.01	18%	10 Jul →
fachwerk	13–8	0.01	28%	10 Jul →
boulder	13–3	0.07	23%	10 Jul →
mirage	16–12	0.05	18%	9 Jul →
dust2	13–10	-0.01	11%	9 Jul →
cache	13–6	0.12	24%	9 Jul →
dust2	11–13	0.02	25%	6 Jul →
dust2	10–13	0.08	24%	6 Jul →
mirage	13–6	-0.03	14%	6 Jul →
mirage	13–7	0.08	12%	6 Jul →
mirage	13–2	0.00	15%	6 Jul →
mirage	13–7	0.03	13%	6 Jul →
nuke	11–13	-0.03	13%	6 Jul →
inferno	13–8	0.00	15%	6 Jul →
mirage	9–13	-0.02	25%	6 Jul →
ancient	4–13	-0.05	9%	27 May →
nuke	9–13	0.09	24%	27 May →
cache	13–5	0.01	20%	20 May →
cache	13–7	0.03	27%	20 May →
vertigo	13–8	0.04	22%	14 May →
anubis	13–7	0.12	15%	14 May →
ancient	13–8	0.01	14%	14 May →
cache	13–10	0.03	22%	14 May →
dust2	13–4	0.09	28%	7 May →
mirage	10–1	-0.02	22%	7 May →
inferno	13–7	0.06	14%	7 May →
anubis	13–6	0.01	15%	23 Apr →
nuke	12–12	-0.02	19%	21 Apr →
ancient	3–13	-0.06	15%	17 Feb →
dust2	5–13	0.04	30%	11 Feb →
inferno	8–13	-0.00	26%	11 Feb →
anubis	11–13	-0.06	11%	11 Feb →
dust2	1–13	-0.06	22%	9 Feb →
nuke	6–13	0.01	29%	9 Feb →
nuke	13–16	0.05	18%	9 Feb →
overpass	13–8	0.10	20%	9 Feb →
ancient	13–0	0.07	33%	9 Feb →
inferno	13–10	0.01	30%	9 Feb →
dust2	13–5	0.12	25%	9 Feb →
inferno	13–9	0.04	19%	29 Jan →
anubis	12–16	0.04	24%	28 Jan →
ancient	13–11	0.07	13%	28 Jan →
mirage	7–13	0.03	9%	28 Jan →
anubis	13–5	0.13	20%	28 Jan →
inferno	13–8	0.02	22%	28 Jan →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak

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