kanebazo — CS2 Stats

FO76561197989873926[U:1:29608198]Steam profile ↗✓ No bans

1,717Tracked matches66%Win rate2020Tracked since

CSDB Rating7.0 StrongPositional Player

Premier CS Rating23,575Pink band · top ~4.6% of ranked players (population est.)

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning61

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY59–36–5Last 10059%Win rateWWLLWLWLWW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +9.4pp headshot accuracy · −1ms 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

3–2 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 24%
Avg reaction 556ms

Last 10

6–4 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 27%
Avg reaction 566ms

Last 20

13–6–1 · 65% win rate
Avg rating 0.01
Avg headshot accuracy 23%
Avg reaction 566ms

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 (+0.8 against its own average).

Aim7.5

Utility5.7

Positioning6.1

Opening Duels4.7

Clutch4.6

Strong CT-side opener

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 m0NESY 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower 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

Reaction time. 577ms 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

Aim7.5

Positioning6.1

Utility5.7

Mechanics6.1

Opening Duels6.4

Win Impact10.0

Composite 7.0/10 (Strong), 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+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time575ms+37ms

first ⅓ avg 538ms → last ⅓ avg 575ms

Headshot accuracy22.2%−0.3%

first ⅓ avg 22.5% → last ⅓ avg 22.2%

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

0.22Best match rating · 13–5 · nuke, 16 Oct →

55%Best headshot accuracy · 13–7 · mirage, 7 Nov →

391msFastest reaction time · 4–13 · inferno, 16 Oct →

13–2Biggest win · vertigo, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W2Current streak

12–3In matches decided by ≤2 rounds

15Overtime games

Map breakdown

mirageBest map · 82% over 17dust2Weakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	17	14–3	82%	0.01
nuke	A	16	9–7	56%	0.01
dust2	D	16	4–12	25%	-0.02
anubis	S	14	10–4	71%	0.03
inferno	B	12	6–6	50%	-0.00
cache	A	12	7–5	58%	0.00
ancient	A	11	7–4	64%	0.00
vertigo	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,229Matches

52%Win rate

1.10Avg K/D

84.8ADR

47%Headshot %

Clutches & streaks

43%1v1 clutch win

23%1v2 clutch win

18Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	50	54%	1.29	15.7
Anubis	45	62%	1.30	17.4
Vertigo	38	66%	1.26	18.3
Inferno	38	55%	1.14	16.2
Ancient	37	51%	1.12	17.1
Nuke	25	56%	0.97	17.5
Dust2	18	44%	0.87	15.0
Train	7	71%	1.42	15.7

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.

22.1%Headshot accuracy

35.4%Accuracy (enemy spotted)

37.3%Spray accuracy

77.3%Counter-strafing

9.8°Preaim

577msReaction time

54.4%T opening success

56.7%CT opening success

0.45Enemies flashed / flash

6.5%Flash assists

9.63HE damage / grenade

10.31Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4528 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–3	0.01	24%	12 Nov →
dust2	13–4	-0.03	30%	12 Nov →
inferno	9–13	-0.05	29%	11 Nov →
anubis	9–13	0.01	17%	11 Nov →
mirage	13–6	0.01	20%	11 Nov →
anubis	10–13	0.06	21%	8 Nov →
nuke	13–10	-0.01	34%	8 Nov →
nuke	14–16	-0.01	14%	8 Nov →
inferno	13–3	0.05	29%	8 Nov →
mirage	13–7	0.04	55%	7 Nov →
ancient	13–9	0.06	21%	7 Nov →
cache	13–7	-0.01	23%	7 Nov →
mirage	13–7	-0.07	15%	7 Nov →
inferno	13–3	0.01	19%	5 Nov →
mirage	4–13	-0.04	19%	5 Nov →
inferno	15–15	0.02	23%	5 Nov →
anubis	13–9	0.05	18%	3 Nov →
ancient	13–6	0.04	10%	3 Nov →
mirage	13–8	0.02	17%	3 Nov →
inferno	10–13	0.00	15%	1 Nov →
dust2	13–10	0.06	26%	1 Nov →
ancient	13–11	-0.02	18%	31 Oct →
dust2	13–7	-0.02	33%	31 Oct →
dust2	5–13	0.01	22%	31 Oct →
cache	10–13	0.01	28%	31 Oct →
mirage	13–9	0.04	22%	30 Oct →
ancient	13–7	-0.05	21%	30 Oct →
nuke	3–13	-0.10	10%	30 Oct →
cache	13–11	0.02	14%	30 Oct →
dust2	10–13	0.01	19%	29 Oct →
anubis	13–4	0.09	30%	29 Oct →
dust2	14–16	0.03	22%	28 Oct →
anubis	15–15	0.01	15%	28 Oct →
mirage	13–8	0.02	16%	26 Oct →
ancient	7–13	0.01	12%	26 Oct →
anubis	13–5	0.09	31%	26 Oct →
inferno	6–13	-0.03	30%	26 Oct →
mirage	13–11	-0.00	11%	26 Oct →
mirage	13–8	-0.01	20%	24 Oct →
dust2	15–15	0.00	21%	24 Oct →
nuke	3–13	0.02	20%	24 Oct →
ancient	13–7	0.01	32%	18 Oct →
nuke	13–11	0.05	32%	18 Oct →
anubis	13–5	0.10	16%	18 Oct →
mirage	13–4	0.08	20%	18 Oct →
mirage	14–16	-0.04	24%	17 Oct →
vertigo	13–2	0.05	22%	17 Oct →
cache	13–10	0.04	11%	17 Oct →
nuke	13–6	0.07	28%	17 Oct →
cache	13–7	0.01	6%	17 Oct →
inferno	13–7	-0.02	20%	17 Oct →
ancient	7–13	-0.11	13%	17 Oct →
mirage	13–8	0.13	18%	17 Oct →
anubis	13–5	-0.03	10%	16 Oct →
nuke	13–5	0.22	20%	16 Oct →
ancient	15–15	0.04	17%	16 Oct →
anubis	13–4	0.00	19%	16 Oct →
inferno	4–13	-0.07	24%	16 Oct →
ancient	13–9	0.08	34%	15 Oct →
nuke	16–13	-0.02	21%	15 Oct →
inferno	4–13	-0.06	19%	15 Oct →
nuke	10–13	-0.04	19%	14 Oct →
anubis	13–9	0.02	19%	14 Oct →
cache	13–11	-0.00	21%	14 Oct →
mirage	13–8	-0.05	21%	14 Oct →
nuke	6–13	0.01	27%	14 Oct →
anubis	13–10	0.02	18%	14 Oct →
nuke	16–12	-0.04	27%	10 Oct →
vertigo	16–14	0.01	35%	10 Oct →
dust2	15–15	-0.03	27%	10 Oct →
cache	16–14	-0.03	15%	10 Oct →
ancient	10–13	-0.04	30%	10 Oct →
mirage	13–8	-0.02	19%	7 Oct →
dust2	1–13	-0.12	25%	7 Oct →
nuke	13–8	-0.01	20%	7 Oct →
nuke	3–13	0.04	35%	7 Oct →
dust2	6–13	-0.07	24%	7 Oct →
dust2	4–13	-0.08	11%	5 Oct →
anubis	13–8	0.00	14%	5 Oct →
cache	8–13	-0.04	29%	5 Oct →
nuke	9–13	-0.06	15%	4 Oct →
cache	7–13	0.03	25%	4 Oct →
mirage	13–10	0.01	23%	4 Oct →
dust2	13–11	-0.00	24%	2 Oct →
mirage	13–11	0.01	18%	2 Oct →
inferno	16–14	0.07	25%	2 Oct →
dust2	5–13	-0.03	30%	2 Oct →
inferno	16–14	0.02	18%	1 Oct →
anubis	13–5	0.08	25%	1 Oct →
cache	6–13	-0.01	24%	1 Oct →
inferno	13–10	-0.01	21%	1 Oct →
dust2	9–13	-0.05	17%	30 Sept →
ancient	16–12	-0.00	12%	30 Sept →
nuke	13–11	0.07	22%	30 Sept →
cache	13–6	-0.03	21%	30 Sept →
mirage	8–13	0.00	20%	30 Sept →
dust2	4–13	-0.04	15%	29 Sept →
anubis	7–13	-0.03	16%	29 Sept →
dust2	7–13	0.02	33%	29 Sept →
cache	9–13	0.02	27%	29 Sept →