ChromaWave — CS2 Stats

SK76561198264549609[U:1:304283881]Steam profile ↗✓ No bans

1,716Tracked matches57%Win rate2020Tracked since

CSDB Rating6.1 SolidPositional Player

CSDB Leaderboard#230357 of 259554 tracked

FaceitLevel 9 · 2,057 ELOTop 20.7% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning66

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWLWWWLLWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −0.1pp headshot accuracy · −49ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 609ms

Last 10

6–4 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 14%
Avg reaction 546ms

Last 20

11–9 · 55% win rate
Avg rating -0.01
Avg headshot accuracy 14%
Avg reaction 570ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim6.9

Utility4.9

Positioning6.6

Opening Duels2.4

Clutch2.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like iM 88% playstyle similarity

Most alike: positioning profile, 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. 554ms 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

Aim6.9

Positioning6.6

Utility4.9

Mechanics5.6

Opening Duels3.8

Win Impact7.2

Composite 6.1/10 (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-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time566ms+12ms

first ⅓ avg 553ms → last ⅓ avg 566ms

Headshot accuracy14.6%+0.4%

first ⅓ avg 14.2% → last ⅓ avg 14.6%

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.

Personal bests

0.10Best match rating · 13–4 · inferno, 23 Jul →

33%Best headshot accuracy · 13–7 · nuke, 8 Sept →

383msFastest reaction time · 13–8 · inferno, 20 Oct →

13–1Biggest win · cache, 29 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

12–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 65% over 20anubisWeakest map · 41% over 22

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	26	15–11	58%	0.00
anubis	C	22	9–13	41%	-0.02
nuke	S	20	13–7	65%	-0.02
cache	A	16	9–7	56%	-0.00
vertigo	A	8	5–3	63%	0.02
mirage	—	4	1–3	25%	-0.01
dust2	—	3	0–3	0%	-0.03
ancient	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,083Matches

51%Win rate

0.95Avg K/D

75.5ADR

38%Headshot %

Clutches & streaks

34%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	165	55%	1.09	14.4
Anubis	141	52%	1.09	15.7
Mirage	128	49%	1.05	14.7
Nuke	94	56%	1.03	14.8
Vertigo	75	65%	1.14	15.9
Dust2	54	30%	0.97	13.8
Ancient	34	38%	0.91	14.8
Cache	22	50%	0.99	15.6

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.

14.7%Headshot accuracy

34.9%Accuracy (enemy spotted)

41.6%Spray accuracy

75.1%Counter-strafing

9.7°Preaim

554msReaction time

48.3%T opening success

42.0%CT opening success

0.51Enemies flashed / flash

4.7%Flash assists

7.94HE damage / grenade

6.84Flashes / 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 14.6743% — 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.

41% win rate across 22 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
anubis	13–11	-0.03	23%	31 Oct →
mirage	8–13	0.02	6%	31 Oct →
inferno	13–5	0.00	21%	31 Oct →
cache	13–8	-0.03	26%	29 Oct →
mirage	13–7	-0.01	11%	25 Oct →
anubis	8–13	-0.04	10%	25 Oct →
vertigo	13–16	0.00	7%	22 Oct →
vertigo	13–3	0.08	11%	22 Oct →
inferno	13–16	0.02	14%	22 Oct →
inferno	13–4	0.07	15%	20 Oct →
inferno	13–8	-0.02	8%	20 Oct →
inferno	13–8	-0.03	18%	16 Oct →
anubis	11–13	0.03	15%	16 Oct →
nuke	13–4	-0.03	10%	16 Oct →
nuke	13–2	0.02	11%	16 Oct →
mirage	4–13	-0.05	15%	15 Oct →
nuke	6–13	-0.11	11%	15 Oct →
nuke	5–13	-0.02	20%	15 Oct →
nuke	13–9	-0.06	6%	14 Oct →
cache	6–13	-0.04	32%	14 Oct →
inferno	13–9	0.00	17%	14 Oct →
inferno	12–16	0.01	21%	12 Oct →
cache	11–13	-0.03	11%	12 Oct →
nuke	13–11	0.01	14%	12 Oct →
anubis	19–17	0.04	14%	12 Oct →
nuke	8–13	0.01	32%	12 Oct →
cache	13–11	0.02	10%	11 Oct →
vertigo	13–11	0.00	12%	11 Oct →
nuke	13–6	-0.01	12%	9 Oct →
inferno	14–16	-0.01	11%	9 Oct →
anubis	13–11	-0.04	18%	8 Oct →
anubis	13–2	0.02	9%	8 Oct →
vertigo	13–11	0.04	11%	8 Oct →
anubis	13–9	0.02	16%	6 Oct →
cache	14–16	-0.01	14%	6 Oct →
inferno	13–7	0.04	11%	5 Oct →
inferno	13–7	-0.03	9%	5 Oct →
dust2	20–22	0.02	13%	5 Oct →
inferno	13–3	-0.05	27%	4 Oct →
inferno	6–13	-0.02	13%	4 Oct →
inferno	3–13	-0.04	8%	2 Oct →
anubis	11–13	-0.02	8%	2 Oct →
nuke	7–13	-0.04	21%	2 Oct →
anubis	6–13	-0.06	14%	2 Oct →
anubis	13–11	-0.07	5%	2 Oct →
nuke	6–13	-0.05	10%	29 Sept →
anubis	7–13	-0.05	20%	29 Sept →
vertigo	13–7	-0.00	16%	29 Sept →
cache	13–1	0.03	13%	29 Sept →
vertigo	13–16	0.00	17%	28 Sept →
inferno	13–5	0.04	16%	28 Sept →
cache	19–16	-0.02	23%	27 Sept →
cache	6–13	-0.06	2%	26 Sept →
inferno	11–13	0.01	28%	26 Sept →
cache	13–9	0.03	12%	26 Sept →
nuke	13–10	-0.01	23%	26 Sept →
ancient	13–9	-0.02	14%	26 Sept →
anubis	14–16	-0.03	15%	25 Sept →
nuke	7–13	-0.03	22%	25 Sept →
cache	13–9	-0.02	12%	24 Sept →
nuke	13–10	-0.02	27%	24 Sept →
anubis	13–5	0.02	23%	21 Sept →
anubis	7–13	-0.03	11%	21 Sept →
dust2	3–13	-0.04	15%	21 Sept →
cache	10–13	0.05	13%	21 Sept →
inferno	13–7	-0.04	9%	17 Sept →
nuke	13–10	-0.02	14%	17 Sept →
nuke	22–20	-0.05	11%	17 Sept →
nuke	13–9	-0.00	23%	16 Sept →
inferno	13–11	-0.01	13%	16 Sept →
inferno	11–13	-0.00	16%	15 Sept →
anubis	8–13	-0.02	7%	15 Sept →
mirage	9–13	-0.01	13%	10 Sept →
cache	4–13	-0.00	17%	8 Sept →
nuke	13–7	0.05	33%	8 Sept →
nuke	13–6	0.02	14%	8 Sept →
inferno	4–13	-0.08	0%	6 Sept →
cache	6–13	0.01	23%	5 Sept →
cache	13–11	0.03	16%	5 Sept →
anubis	7–13	0.05	18%	5 Sept →
nuke	13–6	0.00	19%	5 Sept →
nuke	9–13	0.02	24%	5 Sept →
cache	13–4	0.00	8%	5 Sept →
inferno	4–13	-0.06	14%	4 Sept →
inferno	8–13	0.02	14%	4 Sept →
anubis	9–13	0.01	10%	3 Sept →
anubis	13–10	-0.05	10%	3 Sept →
inferno	16–12	-0.00	23%	3 Sept →
vertigo	10–13	-0.06	15%	2 Sept →
vertigo	13–10	0.06	8%	2 Sept →
cache	13–10	-0.00	18%	2 Sept →
anubis	11–13	-0.01	11%	27 Aug →
anubis	7–13	-0.07	14%	24 Aug →
inferno	13–5	0.01	11%	23 Aug →
dust2	4–13	-0.06	23%	7 Aug →
anubis	3–13	-0.05	6%	23 Jul →
inferno	13–4	0.09	11%	23 Jul →
inferno	13–4	0.10	10%	23 Jul →
inferno	11–13	0.01	13%	21 Jul →
anubis	16–14	-0.05	8%	21 Jul →