Qdi — CS2 Stats

DE76561197961196042[U:1:930314]Steam profile ↗✓ No bans

2,115Tracked matches48%Win rate2022Tracked since

CSDB Rating4.3 Developing

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning48

Utility64

0–100 skill scores via Leetify.

Recent form

COLD38–55–7Last 10038%Win rateLLLLLWLLLW

Last 10 vs previous 10: -60pp win rate · -0.04 avg rating

Player DNA

Aim3.7

Aggression7.5

Utility6.4

Positioning4.8

Opening Duels2.4

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 83% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Reaction time. 599ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7

Positioning4.8

Utility6.4

Mechanics4.0

Opening Duels2.4

Win Impact4.4

Composite 4.3/10 (Developing), 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+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time600ms−102ms

first ⅓ avg 702ms → last ⅓ avg 600ms

Headshot accuracy11.6%−1.7%

first ⅓ avg 13.4% → last ⅓ avg 11.6%

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

0.11Best rating — dust2 13–5

13–1Biggest win — dust2

5Longest win streak

L5Current streak

7–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 50% over 6nukeWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	62	25–37	40%	-0.02
inferno	D	7	2–5	29%	-0.01
anubis	D	6	2–4	33%	-0.01
mirage	B	6	3–3	50%	-0.03
nuke	D	5	0–5	0%	-0.03
ancient	D	5	1–4	20%	-0.05
overpass	—	4	2–2	50%	-0.04
cache	—	2	1–1	50%	-0.03
vertigo	—	1	1–0	100%	-0.03
alpine	—	1	1–0	100%	-0.00
italy	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches

40%Win rate

0.81Avg K/D

—ADR

25%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	3	33%	0.97	12.7
Vertigo	3	33%	0.67	11.0
Ancient	2	50%	0.81	12.5
Inferno	1	0%	0.44	7.0
Overpass	1	100%	1.17	14.0

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.

11.7%Headshot accuracy

28.8%Accuracy (enemy spotted)

33.2%Spray accuracy

68.0%Counter-strafing

10.5°Preaim

599msReaction time

43.3%T opening success

36.2%CT opening success

0.62Enemies flashed / flash

5.0%Flash assists

10.31HE damage / grenade

7.80Flashes / 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 11.6857% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.1553% — below the 40% mark we flag

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.

0% win rate across 5 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
nuke	11–13	-0.06	12%	29 Aug →
anubis	10–13	-0.01	11%	29 Aug →
dust2	7–13	0.00	16%	29 Aug →
anubis	9–13	-0.05	12%	27 Aug →
dust2	3–13	-0.06	10%	27 Aug →
dust2	13–8	-0.00	13%	27 Aug →
dust2	9–13	-0.01	9%	25 Aug →
inferno	2–13	-0.11	9%	25 Aug →
dust2	8–13	-0.03	6%	25 Aug →
mirage	13–9	-0.07	9%	24 Aug →
dust2	13–11	-0.01	18%	23 Aug →
dust2	13–3	0.02	10%	23 Aug →
overpass	13–11	-0.01	13%	23 Aug →
dust2	12–12	-0.04	14%	19 Aug →
inferno	4–13	-0.01	11%	19 Aug →
anubis	13–10	-0.01	6%	18 Aug →
dust2	13–8	-0.04	3%	18 Aug →
dust2	13–9	0.02	17%	18 Aug →
dust2	13–5	0.11	6%	17 Aug →
dust2	13–8	-0.03	10%	16 Aug →
dust2	5–13	-0.02	18%	16 Aug →
dust2	11–13	-0.02	9%	16 Aug →
dust2	5–13	0.00	24%	14 Aug →
dust2	13–4	-0.02	6%	10 Aug →
dust2	8–13	-0.05	8%	10 Aug →
vertigo	13–6	-0.03	16%	2 Aug →
dust2	7–13	-0.02	13%	2 Aug →
dust2	7–13	-0.03	17%	2 Aug →
dust2	13–9	-0.02	5%	2 Aug →
dust2	13–11	0.04	17%	31 Jul →
dust2	10–13	-0.01	16%	31 Jul →
dust2	5–13	-0.06	10%	24 Jul →
dust2	12–12	-0.00	9%	24 Jul →
dust2	13–1	-0.02	2%	21 Jul →
dust2	11–13	-0.04	14%	21 Jul →
dust2	4–13	-0.05	10%	18 Jul →
nuke	12–12	0.02	7%	18 Jul →
dust2	7–13	-0.03	24%	18 Jul →
dust2	13–4	0.07	19%	14 Jul →
dust2	6–13	-0.06	13%	14 Jul →
ancient	13–16	0.02	7%	12 Jul →
cache	3–13	-0.07	10%	10 Jul →
dust2	16–12	-0.02	16%	10 Jul →
dust2	7–13	0.07	21%	10 Jul →
dust2	11–13	-0.04	15%	10 Jul →
dust2	5–13	-0.06	3%	10 Jul →
ancient	10–13	-0.08	4%	7 Jul →
dust2	8–13	-0.07	10%	7 Jul →
anubis	13–11	0.01	7%	5 Jul →
nuke	6–13	-0.03	3%	4 Jul →
dust2	13–10	-0.03	5%	4 Jul →
ancient	13–11	-0.04	9%	4 Jul →
dust2	15–15	-0.05	13%	4 Jul →
inferno	9–13	-0.03	8%	4 Jul →
dust2	13–3	-0.05	14%	4 Jul →
nuke	6–13	-0.06	13%	3 Jul →
inferno	11–13	0.04	11%	3 Jul →
nuke	5–13	-0.01	15%	25 Jun →
dust2	13–9	-0.01	10%	25 Jun →
dust2	10–13	0.02	20%	25 Jun →
overpass	8–13	-0.06	6%	23 Jun →
mirage	13–9	0.02	15%	22 Jun →
dust2	4–13	-0.07	0%	18 Jun →
cache	13–4	0.01	6%	18 Jun →
anubis	3–13	-0.07	7%	18 Jun →
inferno	6–13	-0.04	18%	11 Jun →
mirage	13–10	-0.01	15%	11 Jun →
dust2	7–13	-0.07	10%	8 Jun →
dust2	13–11	-0.03	10%	6 Jun →
inferno	13–8	0.05	6%	4 Jun →
dust2	10–13	-0.07	20%	1 Jun →
dust2	9–13	0.00	16%	31 May →
overpass	14–16	-0.04	13%	31 May →
overpass	13–4	-0.04	8%	31 May →
dust2	10–13	-0.02	9%	31 May →
inferno	13–2	0.06	17%	28 May →
anubis	9–13	0.04	6%	28 May →
ancient	12–12	-0.07	15%	28 May →
dust2	13–10	0.03	10%	23 May →
alpine	13–10	-0.00	6%	22 May →
ancient	5–13	-0.07	6%	22 May →
dust2	13–11	-0.00	16%	19 May →
dust2	13–5	0.01	16%	14 May →
mirage	4–13	-0.09	17%	13 May →
italy	6–13	-0.04	8%	12 May →
dust2	10–13	-0.02	12%	12 May →
mirage	10–13	0.00	15%	9 May →
dust2	3–13	-0.06	15%	9 May →
dust2	6–13	-0.10	42%	9 May →
dust2	12–12	-0.03	13%	6 May →
dust2	13–2	0.03	15%	6 May →
dust2	13–6	-0.02	8%	4 May →
dust2	12–12	-0.04	15%	4 May →
dust2	13–6	-0.03	10%	4 May →
dust2	13–9	-0.04	18%	3 May →
mirage	5–13	-0.04	12%	3 May →
dust2	6–13	-0.02	14%	3 May →
dust2	9–13	0.01	17%	27 Apr →
dust2	3–13	-0.02	18%	27 Apr →
dust2	13–6	0.00	11%	27 Apr →