☬AnDrEy☬ — CS2 Stats

UA76561198861717598[U:1:901451870]Steam profile ↗

2,140Tracked matches77%Win rate2020Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating26,535Top 25% of 819 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1126 of 14038 tracked

FaceitLevel 10 · 2,424 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning55

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY62–37–1Last 10062%Win rateWLWWWWLLWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.5

Aggression7.3

Utility5.8

Positioning5.5

Opening Duels3.4

Clutch4.2

Sharp aimerStrong 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 b1t 93% playstyle similarity

Most alike: opening-duel success, 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim8.5

Positioning5.5

Utility5.8

Mechanics7.7

Opening Duels3.9

Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.01−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time575ms+5ms

first ⅓ avg 570ms → last ⅓ avg 575ms

Headshot accuracy21.1%−1.4%

first ⅓ avg 22.4% → last ⅓ avg 21.1%

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

13–0Biggest win — dust2

9Longest win streak

5–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 78% over 9mirageWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	12–10	55%	0.01
anubis	S	17	12–5	71%	0.03
inferno	A	14	8–6	57%	0.04
overpass	S	12	8–4	67%	0.07
nuke	A	11	6–5	55%	0.01
mirage	B	11	5–6	45%	0.01
ancient	S	9	7–2	78%	0.02
cache	—	2	2–0	100%	0.02
train	—	1	1–0	100%	0.05
vertigo	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,347Matches

53%Win rate

1.19Avg K/D

88.2ADR

49%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	302	53%	1.25	17.0
Mirage	287	57%	1.24	17.7
Anubis	255	57%	1.24	17.5
Ancient	167	47%	1.25	18.2
Nuke	166	49%	1.21	17.7
Inferno	129	50%	1.27	16.2
Vertigo	56	48%	1.29	18.3
Overpass	35	49%	1.29	16.4

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.

20.9%Headshot accuracy

34.1%Accuracy (enemy spotted)

41.5%Spray accuracy

84.5%Counter-strafing

7.0°Preaim

581msReaction time

26.4%T opening success

61.2%CT opening success

0.59Enemies flashed / flash

2.9%Flash assists

7.70HE damage / grenade

12.20Flashes / 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
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 26.3802% — below the 40% mark we flag

Spend your practice time on Mirage

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–9	-0.03	16%	24 Aug →
dust2	14–16	0.02	25%	16 Aug →
nuke	13–10	-0.01	33%	15 Aug →
dust2	13–11	-0.02	22%	11 Aug →
cache	13–5	0.05	12%	10 Aug →
dust2	13–8	-0.02	24%	7 Aug →
nuke	10–13	-0.02	18%	6 Aug →
mirage	12–16	0.02	27%	28 Jul →
anubis	13–8	0.02	25%	25 Jul →
mirage	13–10	0.05	24%	7 Jul →
dust2	13–8	0.00	21%	3 Jul →
cache	22–20	-0.01	19%	3 Jun →
ancient	13–9	0.01	10%	30 May →
dust2	13–9	-0.03	13%	13 May →
inferno	13–7	-0.00	25%	1 May →
anubis	13–9	0.01	24%	22 Apr →
anubis	13–7	0.08	13%	15 Apr →
dust2	6–13	-0.02	31%	10 Apr →
ancient	19–16	0.01	16%	6 Apr →
anubis	13–3	0.17	11%	4 Apr →
anubis	8–13	-0.03	27%	2 Apr →
nuke	13–2	0.07	40%	2 Apr →
mirage	11–13	-0.01	11%	29 Mar →
anubis	13–9	-0.01	11%	29 Mar →
inferno	13–4	-0.04	6%	28 Mar →
ancient	13–9	0.09	21%	26 Mar →
inferno	13–9	0.03	25%	23 Mar →
ancient	13–5	-0.00	21%	21 Mar →
nuke	13–8	0.08	40%	21 Mar →
mirage	2–13	-0.05	14%	21 Mar →
inferno	9–13	-0.01	23%	17 Mar →
anubis	8–13	0.10	13%	14 Mar →
inferno	7–1	-0.04	33%	14 Mar →
dust2	7–13	0.04	39%	14 Mar →
inferno	13–9	0.10	26%	10 Mar →
dust2	13–9	0.01	18%	9 Mar →
overpass	9–13	0.00	17%	9 Mar →
anubis	14–16	0.04	13%	2 Mar →
anubis	11–13	-0.03	13%	23 Feb →
mirage	15–15	0.03	18%	20 Feb →
anubis	13–8	0.05	23%	15 Feb →
inferno	8–13	0.01	34%	15 Feb →
dust2	16–12	0.02	13%	14 Feb →
mirage	13–6	0.17	29%	9 Feb →
overpass	13–9	0.13	25%	9 Feb →
overpass	13–6	0.04	39%	9 Feb →
nuke	13–10	0.02	22%	29 Jan →
nuke	13–4	0.03	34%	24 Jan →
inferno	6–9	0.11	22%	24 Jan →
overpass	13–3	-0.02	22%	23 Jan →
dust2	13–0	0.13	23%	23 Jan →
anubis	13–5	0.01	29%	23 Jan →
anubis	13–7	0.05	22%	23 Jan →
anubis	13–4	0.10	34%	20 Jan →
inferno	13–8	0.02	22%	18 Jan →
dust2	10–13	-0.05	14%	18 Jan →
nuke	13–16	-0.01	28%	16 Jan →
dust2	11–13	0.01	22%	15 Jan →
anubis	13–8	-0.03	15%	11 Jan →
anubis	11–13	-0.02	14%	10 Jan →
dust2	4–13	0.00	16%	10 Jan →
anubis	13–4	0.06	19%	10 Jan →
ancient	9–13	-0.02	22%	10 Jan →
dust2	13–6	-0.02	20%	10 Jan →
nuke	11–13	-0.04	34%	6 Jan →
dust2	13–3	-0.01	31%	6 Jan →
overpass	8–13	0.12	16%	4 Jan →
overpass	13–4	0.11	17%	4 Jan →
mirage	13–11	-0.01	25%	2 Jan →
ancient	6–13	0.04	34%	1 Jan →
overpass	10–13	-0.01	21%	29 Dec →
ancient	16–14	0.06	27%	29 Dec →
mirage	13–10	-0.02	11%	28 Dec →
overpass	11–13	0.09	30%	27 Dec →
ancient	13–9	-0.02	10%	27 Dec →
dust2	7–13	0.01	27%	27 Dec →
inferno	10–13	0.02	23%	27 Dec →
dust2	7–13	-0.00	14%	26 Dec →
dust2	13–6	-0.00	32%	25 Dec →
ancient	13–9	0.05	21%	25 Dec →
dust2	3–13	-0.04	27%	25 Dec →
overpass	13–6	-0.01	24%	22 Dec →
inferno	6–13	-0.01	28%	22 Dec →
nuke	13–7	0.01	23%	22 Dec →
nuke	11–13	0.01	11%	22 Dec →
inferno	9–4	0.15	27%	20 Dec →
inferno	9–2	0.21	28%	19 Dec →
mirage	13–11	-0.01	17%	15 Dec →
train	16–12	0.05	21%	13 Dec →
overpass	13–2	0.17	12%	12 Dec →
overpass	13–3	0.13	22%	8 Dec →
vertigo	13–7	0.09	20%	8 Dec →
inferno	12–16	0.04	30%	7 Dec →
dust2	3–13	0.02	13%	6 Dec →
dust2	13–9	0.09	23%	6 Dec →
overpass	13–7	0.08	26%	6 Dec →
dust2	13–7	0.00	36%	6 Dec →
mirage	11–13	0.04	24%	6 Dec →
mirage	3–13	-0.06	20%	3 Dec →
nuke	8–13	-0.01	17%	2 Dec →