Darkicha — CS2 Stats

BG76561199202946767[U:1:1242681039]Steam profile ↗✓ No bans

764Tracked matches45%Win rate2021Tracked since

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating15,322Purple band · top ~27.1% of ranked players (population est.)

CSDB Leaderboard#11812 of 18669 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning52

Utility51

0–100 skill scores via Leetify.

Recent form

COLD43–53–4Last 10043%Win rateLLWLLWLLWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim8.4

Aggression7.8

Utility5.1

Positioning5.2

Opening Duels2.7

Clutch3.2

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 92% playstyle similarity

Most alike: opening-fight frequency, 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 31 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.

Reaction time. 597ms 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

Aim8.4

Positioning5.2

Utility5.1

Mechanics7.0

Opening Duels2.7

Win Impact3.3

Composite 6.0/10 (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 rating-0.02−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time581ms+67ms

first ⅓ avg 515ms → last ⅓ avg 581ms

Headshot accuracy25.7%+2.8%

first ⅓ avg 22.9% → last ⅓ avg 25.7%

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 — dust2 13–1

13–0Biggest win — anubis

6Longest win streak

L2Current streak

5–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 59% over 32infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	36	13–23	36%	-0.01
dust2	A	32	19–13	59%	0.01
inferno	D	11	3–8	27%	-0.03
anubis	C	7	3–4	43%	-0.01
ancient	B	6	3–3	50%	-0.01
cache	—	4	1–3	25%	-0.00
debris	—	1	0–1	0%	-0.02
nuke	—	1	1–0	100%	0.04
office	—	1	0–1	0%	0.05
vertigo	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

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

Faceit stats

Combat

125Matches

50%Win rate

1.00Avg K/D

71.9ADR

55%Headshot %

Clutches & streaks

36%1v1 clutch win

18%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	26	58%	1.00	13.3
Dust2	13	38%	0.90	12.1
Inferno	11	73%	1.19	14.0
Ancient	6	17%	0.72	14.7
Anubis	6	50%	0.69	11.3
Nuke	1	0%	0.80	16.0
Train	1	0%	0.67	10.0

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.

25.1%Headshot accuracy

34.6%Accuracy (enemy spotted)

35.5%Spray accuracy

81.6%Counter-strafing

6.9°Preaim

597msReaction time

38.5%T opening success

42.8%CT opening success

0.62Enemies flashed / flash

5.5%Flash assists

9.20HE damage / grenade

13.73Flashes / 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 38.517% — 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.

27% win rate across 11 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
debris	3–9	-0.02	30%	27 Aug →
inferno	4–9	-0.09	44%	27 Aug →
dust2	13–3	0.06	24%	27 Aug →
mirage	2–13	-0.03	20%	27 Aug →
mirage	2–13	-0.09	12%	26 Aug →
dust2	13–7	-0.01	32%	26 Aug →
dust2	14–16	0.02	18%	23 Aug →
anubis	5–13	-0.02	37%	23 Aug →
dust2	13–9	-0.02	15%	22 Aug →
dust2	10–13	-0.01	19%	22 Aug →
dust2	13–8	0.07	25%	21 Aug →
dust2	13–2	0.06	31%	21 Aug →
inferno	9–1	0.15	30%	16 Aug →
inferno	8–8	-0.11	39%	16 Aug →
mirage	13–11	-0.03	26%	16 Aug →
dust2	4–13	-0.03	18%	16 Aug →
mirage	6–13	-0.04	32%	16 Aug →
mirage	13–7	-0.03	29%	16 Aug →
mirage	13–6	0.05	21%	9 Aug →
dust2	8–13	0.04	40%	9 Aug →
dust2	13–6	-0.03	26%	9 Aug →
dust2	9–13	-0.06	25%	9 Aug →
inferno	9–5	-0.05	27%	1 Aug →
inferno	2–9	-0.25	33%	1 Aug →
dust2	7–13	-0.07	20%	1 Aug →
dust2	11–13	0.07	26%	1 Aug →
cache	6–13	-0.05	23%	31 Jul →
dust2	13–11	0.04	17%	29 Jul →
mirage	13–8	0.04	26%	24 Jul →
mirage	12–16	-0.01	25%	23 Jul →
dust2	13–3	-0.01	16%	22 Jul →
mirage	9–13	-0.06	22%	22 Jul →
mirage	13–8	-0.00	20%	22 Jul →
inferno	0–5	-0.05	100%	22 Jul →
dust2	11–13	0.03	36%	22 Jul →
dust2	15–15	0.05	25%	20 Jul →
mirage	10–13	0.00	31%	20 Jul →
mirage	4–13	-0.05	24%	20 Jul →
inferno	8–13	0.06	25%	19 Jul →
cache	11–13	0.02	25%	19 Jul →
dust2	13–10	0.01	14%	19 Jul →
ancient	13–10	0.00	20%	19 Jul →
ancient	12–4	0.03	28%	19 Jul →
dust2	13–9	0.00	21%	15 Jul →
mirage	7–13	-0.05	21%	13 Jul →
cache	13–4	0.01	15%	13 Jul →
mirage	7–13	-0.02	22%	13 Jul →
mirage	2–13	-0.05	28%	13 Jul →
dust2	13–11	0.10	29%	13 Jul →
anubis	4–13	-0.04	32%	12 Jul →
nuke	13–3	0.04	11%	12 Jul →
mirage	9–4	-0.04	21%	12 Jul →
dust2	4–13	0.02	30%	12 Jul →
mirage	11–13	0.05	30%	11 Jul →
inferno	6–13	-0.00	15%	11 Jul →
anubis	15–15	-0.01	22%	11 Jul →
mirage	12–12	0.02	9%	9 Jul →
dust2	13–3	0.02	35%	8 Jul →
office	1–13	0.05	47%	8 Jul →
mirage	13–11	0.06	21%	8 Jul →
inferno	5–13	-0.02	11%	6 Jul →
mirage	13–8	-0.04	17%	5 Jul →
mirage	1–13	-0.07	24%	5 Jul →
mirage	8–13	-0.05	14%	2 Jul →
dust2	9–13	0.03	40%	2 Jul →
ancient	7–13	-0.08	5%	2 Jul →
anubis	13–9	0.04	23%	24 Jun →
mirage	1–13	-0.08	37%	24 Jun →
ancient	7–13	-0.03	22%	24 Jun →
inferno	11–13	-0.04	14%	24 Jun →
dust2	3–13	-0.06	28%	21 Jun →
mirage	13–5	0.04	35%	21 Jun →
mirage	1–13	-0.11	0%	20 Jun →
dust2	8–0	0.00	100%	20 Jun →
anubis	13–0	0.00	0%	20 Jun →
mirage	13–0	0.00	0%	20 Jun →
dust2	13–0	0.00	0%	20 Jun →
dust2	5–0	-0.03	20%	19 Jun →
dust2	13–6	0.13	28%	19 Jun →
mirage	3–13	0.09	31%	19 Jun →
mirage	9–13	0.05	27%	19 Jun →
mirage	8–13	0.11	24%	19 Jun →
dust2	13–10	0.07	12%	19 Jun →
inferno	13–3	0.08	23%	19 Jun →
dust2	13–1	0.15	16%	19 Jun →
dust2	13–6	-0.06	21%	16 Jun →
mirage	13–4	-0.05	13%	4 Jun →
mirage	10–13	-0.02	21%	4 Jun →
vertigo	9–13	-0.06	23%	4 Jun →
anubis	13–10	0.00	35%	27 May →
anubis	11–13	-0.04	25%	27 May →
mirage	13–10	0.01	27%	27 May →
ancient	7–13	-0.04	23%	20 May →
mirage	6–13	-0.02	19%	20 May →
mirage	11–13	0.01	23%	20 May →
ancient	13–2	0.05	31%	18 May →
mirage	16–14	0.01	27%	18 May →
dust2	0–13	-0.14	0%	14 May →
cache	8–13	0.00	27%	13 May →
mirage	10–13	-0.06	25%	13 May →