eZqkq — CS2 Stats

76561198981384452[U:1:1021118724]✓ No bans

1,273Tracked matches67%Win rate2020Tracked since

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating22,879Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)

CSDB Leaderboard#8253 of 34620 tracked

FaceitLevel 8 · 1,210 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning48

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY55–40–5Last 10055%Win rateLWWWLWWTWL

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.3

Aggression6.4

Utility4.2

Positioning4.8

Opening Duels2.5

Clutch3.6

Effective flashesLimited utility dependence

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 Twistzz 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower 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

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 35 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. 603ms 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

Aim8.3

Positioning4.8

Utility4.2

Mechanics7.9

Opening Duels2.5

Win Impact10.0

Composite 6.6/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time617ms+34ms

first ⅓ avg 584ms → last ⅓ avg 617ms

Headshot accuracy32.3%+2.9%

first ⅓ avg 29.4% → last ⅓ avg 32.3%

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 — ancient

4Longest win streak

9–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 73% over 15cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	26	14–12	54%	0.01
mirage	A	22	12–10	55%	-0.00
ancient	S	15	11–4	73%	0.01
anubis	B	13	7–6	54%	0.03
nuke	C	10	4–6	40%	-0.02
dust2	S	6	4–2	67%	-0.01
cache	D	6	2–4	33%	0.02
eldorado	—	1	1–0	100%	0.04
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

330Matches

51%Win rate

1.03Avg K/D

83.8ADR

70%Headshot %

Clutches & streaks

38%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	120	46%	1.01	17.5
Dust2	40	58%	1.08	15.9
Ancient	35	49%	1.00	16.4
Nuke	31	52%	1.22	18.4
Anubis	31	65%	1.12	18.5
Inferno	30	53%	0.92	15.4
Cache	7	43%	0.88	15.0
Overpass	4	50%	1.47	19.5

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.

33.4%Headshot accuracy

30.4%Accuracy (enemy spotted)

33.7%Spray accuracy

85.7%Counter-strafing

9.2°Preaim

603msReaction time

33.9%T opening success

46.0%CT opening success

0.78Enemies flashed / flash

5.5%Flash assists

6.45HE damage / grenade

3.83Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8331 — below the 4 mark we flag
Grenade Lineups →
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 33.8776% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	9–13	0.02	34%	26 Aug →
inferno	13–6	0.01	47%	22 Aug →
mirage	13–4	0.05	60%	22 Aug →
anubis	13–6	0.05	27%	22 Aug →
inferno	7–9	-0.06	16%	21 Aug →
ancient	13–9	0.06	39%	21 Aug →
ancient	13–2	-0.02	27%	17 Aug →
inferno	8–8	0.02	33%	17 Aug →
dust2	13–11	-0.02	26%	16 Aug →
inferno	6–9	0.08	38%	15 Aug →
inferno	9–3	0.06	24%	15 Aug →
eldorado	9–5	0.04	20%	15 Aug →
dust2	13–6	-0.06	6%	15 Aug →
cache	13–5	0.05	39%	13 Aug →
nuke	3–13	-0.07	67%	12 Aug →
mirage	13–7	-0.03	18%	11 Aug →
inferno	13–8	-0.01	32%	11 Aug →
inferno	11–13	-0.04	32%	10 Aug →
nuke	9–6	0.15	48%	8 Aug →
dust2	13–6	-0.02	26%	8 Aug →
ancient	11–13	-0.01	38%	8 Aug →
dust2	11–13	0.08	32%	6 Aug →
mirage	2–13	0.01	29%	6 Aug →
mirage	3–13	0.01	33%	6 Aug →
nuke	4–9	-0.12	23%	5 Aug →
inferno	16–12	-0.03	27%	30 Jul →
cache	13–7	0.10	44%	30 Jul →
vertigo	10–13	-0.01	43%	29 Jul →
anubis	13–9	0.01	22%	29 Jul →
mirage	13–7	0.03	38%	29 Jul →
mirage	13–9	-0.01	35%	29 Jul →
ancient	13–5	0.07	29%	28 Jul →
ancient	6–13	-0.09	11%	28 Jul →
ancient	13–4	0.09	32%	28 Jul →
nuke	13–3	-0.03	31%	28 Jul →
dust2	13–11	-0.09	41%	28 Jul →
anubis	9–13	0.10	40%	28 Jul →
ancient	10–13	0.01	44%	28 Jul →
inferno	13–10	0.01	31%	28 Jul →
nuke	9–13	-0.04	50%	28 Jul →
mirage	12–16	-0.01	45%	28 Jul →
anubis	13–8	0.12	39%	27 Jul →
mirage	9–13	0.07	42%	27 Jul →
mirage	13–6	0.02	23%	27 Jul →
anubis	13–6	0.05	25%	27 Jul →
inferno	15–15	0.04	49%	27 Jul →
ancient	13–9	-0.01	21%	27 Jul →
cache	9–13	0.01	34%	27 Jul →
mirage	13–11	-0.01	33%	26 Jul →
inferno	10–13	-0.02	42%	26 Jul →
ancient	13–11	0.01	38%	26 Jul →
mirage	15–15	0.00	35%	26 Jul →
mirage	13–4	0.06	41%	26 Jul →
ancient	10–4	-0.02	37%	24 Jul →
mirage	10–13	-0.07	40%	24 Jul →
mirage	16–13	0.01	44%	23 Jul →
inferno	9–7	-0.04	23%	22 Jul →
mirage	10–13	-0.06	13%	22 Jul →
inferno	13–10	-0.02	24%	22 Jul →
inferno	14–16	-0.06	28%	22 Jul →
ancient	13–6	0.14	47%	22 Jul →
cache	11–13	-0.04	37%	21 Jul →
anubis	15–15	0.05	63%	21 Jul →
anubis	12–16	0.03	31%	21 Jul →
anubis	13–11	0.10	40%	21 Jul →
nuke	3–9	-0.11	20%	21 Jul →
inferno	9–5	-0.02	20%	21 Jul →
inferno	9–13	-0.08	30%	21 Jul →
inferno	13–3	0.12	47%	20 Jul →
mirage	13–11	-0.04	25%	20 Jul →
anubis	11–13	-0.02	20%	20 Jul →
inferno	3–9	-0.09	38%	19 Jul →
inferno	9–2	0.32	33%	19 Jul →
nuke	13–10	-0.00	38%	19 Jul →
anubis	13–6	-0.01	49%	19 Jul →
inferno	13–2	0.06	24%	17 Jul →
inferno	5–13	-0.08	38%	17 Jul →
nuke	9–13	-0.02	44%	17 Jul →
ancient	13–0	0.00	0%	17 Jul →
inferno	13–7	-0.01	37%	16 Jul →
mirage	13–4	-0.04	20%	16 Jul →
cache	11–13	0.02	27%	16 Jul →
anubis	13–7	0.01	29%	16 Jul →
inferno	13–4	0.15	35%	15 Jul →
mirage	9–13	-0.01	21%	15 Jul →
anubis	8–13	-0.03	30%	15 Jul →
ancient	13–8	-0.07	19%	15 Jul →
anubis	9–13	-0.05	28%	14 Jul →
nuke	13–10	0.10	35%	14 Jul →
mirage	13–5	0.02	29%	14 Jul →
inferno	10–13	0.00	29%	14 Jul →
inferno	10–13	0.01	29%	13 Jul →
ancient	13–11	0.04	32%	13 Jul →
inferno	13–4	0.03	34%	12 Jul →
mirage	13–11	0.04	23%	12 Jul →
dust2	11–13	0.06	31%	9 Jul →
mirage	12–16	-0.06	19%	9 Jul →
cache	7–13	-0.05	35%	9 Jul →
mirage	7–13	-0.00	15%	8 Jul →
nuke	8–8	-0.07	31%	8 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

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