cdiixon — CS2 Stats

76561198067223581[U:1:106957853]✓ No bans

3,009Tracked matches57%Win rate2021Tracked since

CSDB Rating5.7 SolidPassive Rifler

FaceitLevel 10 · 2,214 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning39

Utility51

0–100 skill scores via Leetify.

Recent form

HOT49–43–8Last 10049%Win rateWWWWLLLWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim7.4

Aggression4.4

Utility5.1

Positioning3.9

Opening Duels1.2

Clutch3.2

Strong CT-side openerLimited 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 NiKo 87% playstyle similarity

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

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 46% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 580ms 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

Aim7.4

Positioning3.9

Utility5.1

Mechanics6.8

Opening Duels2.0

Win Impact7.2

Composite 5.7/10 (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-0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time579ms+17ms

first ⅓ avg 561ms → last ⅓ avg 579ms

Headshot accuracy20.4%+2.3%

first ⅓ avg 18.1% → last ⅓ avg 20.4%

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

0.19Best rating — inferno 9–1

13–1Biggest win — anubis

6Longest win streak

W4Current streak

11–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 67% over 18infernoWeakest map · 41% over 29

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	29	12–17	41%	-0.02
cache	S	18	12–6	67%	-0.01
nuke	C	17	7–10	41%	-0.01
mirage	A	14	8–6	57%	-0.01
anubis	A	9	5–4	56%	-0.00
dust2	C	7	3–4	43%	-0.01
ancient	—	4	1–3	25%	-0.01
sanctum	—	1	0–1	0%	-0.20
vertigo	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 29). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,912Matches

54%Win rate

0.91Avg K/D

71.1ADR

44%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

15Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	255	51%	0.88	13.0
Anubis	255	57%	0.94	14.2
Inferno	156	58%	0.93	13.9
Nuke	148	61%	0.98	14.8
Ancient	147	46%	0.85	13.5
Dust2	77	40%	0.80	13.2
Overpass	54	52%	0.86	13.6
Vertigo	34	47%	0.87	14.9

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.

19.6%Headshot accuracy

33.8%Accuracy (enemy spotted)

36.6%Spray accuracy

80.6%Counter-strafing

8.7°Preaim

580msReaction time

23.6%T opening success

45.8%CT opening success

0.52Enemies flashed / flash

11.8%Flash assists

7.02HE damage / grenade

4.24Flashes / 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 23.5535% — 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.

41% win rate across 29 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
inferno	13–8	-0.00	21%	27 Aug →
cache	13–9	0.03	19%	24 Aug →
inferno	13–6	0.02	25%	24 Aug →
dust2	13–6	0.01	13%	24 Aug →
nuke	14–16	0.08	24%	19 Aug →
ancient	8–13	-0.07	20%	19 Aug →
anubis	9–13	-0.00	9%	18 Aug →
mirage	13–11	-0.02	12%	18 Aug →
cache	13–8	-0.01	26%	13 Aug →
inferno	13–11	-0.00	21%	13 Aug →
mirage	13–9	0.01	27%	13 Aug →
anubis	13–8	-0.04	22%	12 Aug →
anubis	5–13	-0.04	28%	12 Aug →
nuke	16–14	0.04	18%	12 Aug →
inferno	12–16	-0.02	16%	31 Jul →
cache	6–13	-0.08	22%	29 Jul →
cache	11–4	0.01	13%	27 Jul →
mirage	7–13	-0.06	3%	27 Jul →
inferno	9–13	0.01	23%	27 Jul →
anubis	13–8	0.03	7%	25 Jul →
dust2	6–13	0.00	27%	24 Jul →
ancient	10–13	-0.03	13%	24 Jul →
inferno	5–13	0.07	18%	22 Jul →
cache	13–11	-0.03	14%	21 Jul →
anubis	8–13	0.06	12%	21 Jul →
inferno	13–9	-0.04	26%	21 Jul →
mirage	13–3	0.00	24%	20 Jul →
nuke	13–10	-0.00	17%	19 Jul →
cache	13–10	-0.02	10%	18 Jul →
dust2	5–13	-0.07	69%	18 Jul →
inferno	14–16	-0.02	26%	17 Jul →
anubis	13–1	0.02	18%	15 Jul →
nuke	10–13	-0.04	29%	15 Jul →
inferno	8–13	0.04	11%	14 Jul →
dust2	9–13	-0.01	13%	14 Jul →
cache	4–13	0.02	39%	12 Jul →
nuke	3–13	-0.04	22%	12 Jul →
dust2	11–13	-0.05	28%	12 Jul →
cache	10–13	-0.02	25%	12 Jul →
inferno	13–2	-0.00	8%	12 Jul →
nuke	15–15	-0.02	21%	4 Jul →
inferno	2–13	-0.11	31%	4 Jul →
inferno	9–5	-0.03	50%	3 Jul →
nuke	8–8	-0.04	19%	1 Jul →
nuke	9–1	0.17	22%	28 Jun →
inferno	9–3	0.04	17%	28 Jun →
nuke	2–9	-0.14	33%	28 Jun →
inferno	9–5	0.03	23%	28 Jun →
dust2	13–9	0.03	36%	26 Jun →
cache	13–6	0.01	23%	26 Jun →
anubis	9–13	-0.05	11%	26 Jun →
nuke	4–13	-0.07	21%	25 Jun →
dust2	13–10	0.04	13%	25 Jun →
nuke	7–9	0.01	26%	24 Jun →
inferno	3–9	-0.12	12%	24 Jun →
cache	13–11	-0.03	18%	23 Jun →
inferno	6–4	-0.02	33%	23 Jun →
inferno	9–13	-0.00	16%	22 Jun →
anubis	3–1	0.01	0%	22 Jun →
mirage	12–12	-0.00	27%	22 Jun →
inferno	8–8	0.00	9%	22 Jun →
sanctum	1–9	-0.20	14%	22 Jun →
mirage	6–13	0.04	10%	21 Jun →
nuke	11–13	-0.02	23%	21 Jun →
inferno	8–8	-0.01	15%	19 Jun →
nuke	6–9	-0.01	15%	19 Jun →
vertigo	9–7	0.05	19%	19 Jun →
inferno	3–9	-0.07	9%	19 Jun →
cache	13–8	0.09	7%	18 Jun →
nuke	13–4	0.04	15%	18 Jun →
cache	13–11	-0.03	7%	17 Jun →
inferno	13–9	0.00	24%	17 Jun →
mirage	13–8	-0.03	15%	16 Jun →
anubis	13–9	0.00	16%	16 Jun →
ancient	10–13	0.06	17%	14 Jun →
mirage	7–13	-0.08	25%	13 Jun →
ancient	13–10	0.02	16%	13 Jun →
mirage	13–11	0.05	22%	13 Jun →
mirage	13–5	0.01	31%	9 Jun →
inferno	8–8	-0.06	6%	8 Jun →
inferno	2–9	-0.22	28%	8 Jun →
inferno	8–8	-0.01	14%	8 Jun →
cache	7–13	-0.04	19%	4 Jun →
mirage	13–6	0.03	14%	4 Jun →
inferno	9–1	0.19	18%	4 Jun →
inferno	9–7	-0.01	21%	4 Jun →
mirage	13–4	0.01	22%	3 Jun →
cache	9–13	-0.07	18%	2 Jun →
nuke	13–10	0.02	9%	1 Jun →
mirage	8–13	-0.06	20%	1 Jun →
inferno	8–13	-0.10	21%	31 May →
nuke	16–13	-0.09	19%	31 May →
cache	7–13	-0.01	25%	29 May →
cache	13–6	0.06	14%	29 May →
inferno	12–12	0.03	25%	23 May →
cache	13–8	-0.06	20%	23 May →
cache	13–10	0.04	27%	23 May →
inferno	8–13	-0.05	10%	22 May →
mirage	7–13	-0.03	31%	22 May →
nuke	13–9	-0.05	12%	18 May →