Гнев человеческий — CS2 Stats

76561198267610710[U:1:307344982]

1,435Tracked matches57%Win rate2020Tracked since

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating26,712Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)

CSDB Leaderboard#1473 of 26488 tracked

FaceitLevel 10 · 3,200 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning73

Utility68

0–100 skill scores via Leetify.

Recent form

HOT55–41–4Last 10055%Win rateLWWLWWWWWL

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.

Aim7.3

Aggression10.0

Utility6.8

Positioning7.3

Opening Duels5.8

Clutch4.2

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 s1mple 91% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 →

Strengths & areas to improve

Strengths

CT openings. 63% 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 63% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms 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

Aim7.3

Positioning7.3

Utility6.8

Mechanics6.5

Opening Duels5.8

Win Impact7.2

Composite 7.3/10 (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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time572ms−13ms

first ⅓ avg 585ms → last ⅓ avg 572ms

Headshot accuracy15.8%−2.6%

first ⅓ avg 18.4% → last ⅓ avg 15.8%

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

0.12Best rating — ancient 8–13

13–0Biggest win — ancient

6Longest win streak

9–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 75% over 16anubisWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	12–12	50%	0.03
mirage	S	18	12–6	67%	0.02
inferno	S	16	12–4	75%	0.02
ancient	B	15	8–7	53%	0.03
cache	B	10	5–5	50%	0.03
anubis	C	7	3–4	43%	0.01
nuke	—	3	0–3	0%	-0.00
train	—	2	1–1	50%	0.09
overpass	—	2	1–1	50%	0.01
office	—	1	0–1	0%	0.11
poseidon	—	1	1–0	100%	0.04
vertigo	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,912Matches

52%Win rate

1.12Avg K/D

81.6ADR

44%Headshot %

Clutches & streaks

41%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	302	53%	1.15	16.0
Ancient	182	52%	1.11	15.8
Dust2	146	59%	1.17	16.1
Anubis	142	46%	1.05	15.3
Inferno	80	52%	1.18	15.1
Nuke	49	47%	1.09	14.8
Vertigo	25	48%	1.00	15.6
Train	18	56%	1.17	15.1

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.

14.8%Headshot accuracy

37.0%Accuracy (enemy spotted)

42.6%Spray accuracy

79.4%Counter-strafing

10.3°Preaim

573msReaction time

43.0%T opening success

63.2%CT opening success

0.57Enemies flashed / flash

7.2%Flash assists

9.11HE damage / grenade

14.62Flashes / 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.

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 14.8104% — below the 15% mark we flag
Aim Training →

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.

43% win rate across 7 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
cache	7–13	-0.06	21%	28 Aug →
cache	13–1	0.12	9%	27 Aug →
dust2	13–3	0.12	10%	19 Aug →
ancient	6–13	-0.02	17%	16 Aug →
mirage	16–14	0.07	13%	13 Aug →
train	4–0	0.06	18%	12 Aug →
anubis	13–11	0.00	14%	12 Aug →
ancient	13–0	0.04	19%	12 Aug →
ancient	13–8	0.08	16%	11 Aug →
mirage	12–16	-0.03	14%	10 Aug →
ancient	13–10	0.01	8%	5 Aug →
mirage	0–5	-0.03	11%	5 Aug →
office	11–13	0.11	14%	5 Aug →
inferno	13–2	0.07	16%	5 Aug →
mirage	13–9	-0.03	3%	2 Aug →
anubis	9–13	-0.05	18%	2 Aug →
dust2	13–6	0.04	15%	31 Jul →
mirage	6–13	0.03	13%	31 Jul →
dust2	13–8	0.06	15%	30 Jul →
dust2	13–5	0.06	22%	30 Jul →
ancient	9–13	0.05	16%	29 Jul →
dust2	13–7	0.01	18%	29 Jul →
nuke	11–13	-0.00	12%	27 Jul →
dust2	10–13	0.03	10%	26 Jul →
cache	13–5	0.05	16%	25 Jul →
nuke	7–13	-0.08	23%	25 Jul →
ancient	13–6	-0.00	26%	25 Jul →
inferno	16–13	0.10	17%	24 Jul →
ancient	8–13	0.12	14%	24 Jul →
mirage	7–13	0.04	13%	23 Jul →
dust2	15–15	0.04	36%	23 Jul →
inferno	7–13	-0.00	14%	22 Jul →
ancient	11–13	0.01	23%	22 Jul →
anubis	4–13	-0.01	18%	22 Jul →
inferno	13–6	-0.07	14%	20 Jul →
mirage	13–7	0.05	14%	20 Jul →
inferno	13–10	-0.00	15%	19 Jul →
dust2	13–6	0.07	23%	19 Jul →
mirage	13–11	-0.04	17%	17 Jul →
dust2	16–13	0.07	30%	17 Jul →
dust2	11–13	0.05	25%	15 Jul →
ancient	13–8	0.03	14%	15 Jul →
cache	10–13	0.05	24%	15 Jul →
mirage	13–10	0.00	16%	14 Jul →
dust2	13–3	0.10	18%	13 Jul →
anubis	13–11	0.09	15%	10 Jul →
dust2	13–9	0.00	36%	8 Jul →
cache	12–12	0.03	18%	8 Jul →
mirage	13–8	0.05	22%	6 Jul →
dust2	11–13	0.02	17%	6 Jul →
inferno	10–13	-0.01	19%	6 Jul →
dust2	8–13	-0.06	9%	6 Jul →
anubis	2–13	0.09	21%	6 Jul →
mirage	13–11	-0.00	24%	6 Jul →
inferno	13–11	0.01	16%	6 Jul →
overpass	13–4	0.04	25%	5 Jul →
dust2	3–13	-0.07	16%	5 Jul →
anubis	6–13	-0.04	33%	5 Jul →
ancient	13–10	0.02	21%	1 Jul →
cache	13–2	0.03	28%	1 Jul →
mirage	9–13	0.03	43%	30 Jun →
dust2	4–13	-0.03	32%	30 Jun →
inferno	5–13	0.01	14%	28 Jun →
mirage	13–9	0.04	13%	24 Jun →
dust2	13–2	0.00	9%	24 Jun →
mirage	13–9	0.03	11%	19 Jun →
ancient	9–13	0.00	19%	19 Jun →
cache	13–5	0.09	31%	14 Jun →
inferno	13–6	0.03	22%	10 Jun →
ancient	4–13	0.01	17%	5 Jun →
mirage	8–13	-0.01	21%	4 Jun →
inferno	16–13	0.07	15%	3 Jun →
dust2	9–13	0.11	23%	3 Jun →
dust2	6–13	-0.03	10%	27 May →
mirage	9–4	0.11	23%	27 May →
poseidon	9–7	0.04	16%	27 May →
ancient	16–14	-0.04	13%	20 May →
inferno	13–6	0.08	20%	18 May →
dust2	13–6	0.08	12%	17 May →
dust2	7–13	-0.04	25%	16 May →
cache	7–13	0.04	19%	8 May →
cache	5–13	-0.03	30%	6 May →
inferno	13–1	0.09	14%	30 Apr →
dust2	5–13	-0.00	20%	30 Apr →
cache	13–4	0.01	17%	28 Apr →
train	9–13	0.12	17%	28 Apr →
inferno	13–3	-0.02	18%	28 Apr →
anubis	13–10	-0.01	19%	17 Apr →
mirage	8–1	-0.07	19%	16 Apr →
overpass	8–13	-0.03	15%	16 Apr →
inferno	13–10	0.04	29%	15 Apr →
ancient	13–9	0.10	14%	14 Apr →
nuke	15–15	0.07	17%	14 Apr →
dust2	5–13	-0.00	28%	14 Apr →
dust2	3–0	0.00	0%	14 Apr →
vertigo	12–12	0.03	19%	12 Apr →
inferno	5–13	-0.03	16%	8 Apr →
ancient	11–13	0.05	21%	7 Apr →
mirage	13–3	0.07	8%	7 Apr →
inferno	9–7	-0.02	18%	2 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches

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