Kanickel @ MonsterEnergy ;) — CS2 Stats

DE76561199119289627[U:1:1159023899]Steam profile ↗✓ No bans

3,917Tracked matches60%Win rate2020Tracked since

6,283Hours in CS40Hrs last 2 wks

CSDB Rating6.7 SolidPositional Player

Premier CS Rating18,088Purple band · top ~16.1% of ranked players (population est.)

CSDB Leaderboard#111330 of 259538 tracked

FaceitLevel 7 · 1,224 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+1422Premier CS Rating · 16,666 → 18,088

Rating over time

Premier CS Rating: 18,088 +1,997 25 Sept – 2 Nov · 24 days played

18,088Peak Premier in tracked matches

1,224Highest Faceit ELO seen on CSDB

24Days played since 2026-09-25

Faceit ELO

At peak — 1,224
Next: Level 7 at 1,351 — 127 to go
Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

At peak — 18,088
+2,698 over 30 days · improving
Next: Pink band at 20,000 — 1,912 to go
Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 7 median	Level 8 median	vs Level 8
Headshot rate	41.9%	45.7%	46.8%	4.9% short
Shot accuracy	8.5%	12.7%	13.0%	4.5% short
Kill/death ratio	1.07	1.05	1.06	meets
Match win rate	47.4%	45.7%	46.3%	above

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim82

Positioning60

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWWWLLWLWWL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · −18ms reaction

Win rate 0pp 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 0.05
Avg headshot accuracy 17%
Avg reaction 589ms

Last 10

6–4 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 559ms

Last 20

12–8 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 568ms

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).

Aim8.2

Utility5.2

Positioning6.0

Opening Duels5.2

Clutch4.4

Limited 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.

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 97% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Strengths

T openings. 73% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 73% on T to 54% on CT — first contacts on the defending side are being lost.

Reaction time. 557ms 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

Aim8.2

Positioning6.0

Utility5.2

Mechanics4.4

Opening Duels8.0

Win Impact8.3

Composite 6.7/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time549ms−21ms

first ⅓ avg 570ms → last ⅓ avg 549ms

Headshot accuracy19.2%+1.7%

first ⅓ avg 17.5% → last ⅓ avg 19.2%

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

0.16Best match rating · 13–9 · nuke, 28 Sept →

47%Best headshot accuracy · 4–13 · nuke, 20 Oct →

406msFastest reaction time · 13–0 · inferno, 21 Oct →

13–0Biggest win · inferno, 21 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W3Current streak

12–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 62% over 21mirageWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	13–13	50%	0.03
inferno	B	25	12–13	48%	0.02
nuke	A	21	13–8	62%	0.03
mirage	D	9	2–7	22%	0.02
ancient	A	7	4–3	57%	0.02
anubis	D	7	2–5	29%	0.04
cache	C	5	2–3	40%	-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,199Lifetime kills

1.07K/D · Top 50% of Level 7 players

5,481Matches

47.4%Match win rate · Top 50% of Level 7 players

41.9%Headshot %

8.5%Shot accuracy

15,131MVPs

2,536Hours (in match)

5,896Bombs planted

1,551Bombs defused

Most-used weapons

M4A4 / M4A1-S19,624

AK-4718,023

AWP16,257

XM10146,189

P2000 / USP-S5,949

MAC-105,427

Tec-95,315

SCAR-204,942

Glock-184,703

Desert Eagle3,924

Lifetime map wins

22,538inferno

7,564nuke

5,910dust2

2,653vertigo

1,125train

119cbble

33office

8italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,583Matches

50%Win rate

1.14Avg K/D

86.4ADR

36%Headshot %

Clutches & streaks

42%1v1 clutch win

16%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	28	50%	1.24	19.2
Nuke	12	50%	0.90	14.1
Dust2	12	83%	1.17	16.3
Anubis	11	45%	0.89	16.4
Mirage	11	45%	1.03	18.4
Ancient	8	62%	1.12	16.5
Train	8	50%	1.20	20.1
Overpass	7	43%	0.89	16.1

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

43.9%Accuracy (enemy spotted)

41.7%Spray accuracy

70.0%Counter-strafing

9.9°Preaim

557msReaction time

72.9%T opening success

54.4%CT opening success

0.51Enemies flashed / flash

8.2%Flash assists

7.08HE damage / grenade

4.80Flashes / match

Recommended for you

Spend your practice time on Mirage

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–6	0.03	22%	2 Nov →
dust2	13–6	0.13	16%	2 Nov →
ancient	13–6	0.08	12%	30 Oct →
nuke	10–13	0.02	17%	30 Oct →
inferno	5–13	-0.01	18%	30 Oct →
inferno	9–7	0.00	14%	30 Oct →
mirage	6–13	-0.05	17%	30 Oct →
nuke	13–9	0.01	24%	30 Oct →
nuke	13–6	0.06	34%	30 Oct →
nuke	10–13	-0.03	18%	30 Oct →
dust2	10–13	0.02	31%	28 Oct →
inferno	16–14	-0.04	20%	28 Oct →
nuke	13–8	-0.00	21%	28 Oct →
anubis	8–13	0.05	25%	27 Oct →
mirage	13–11	-0.03	19%	27 Oct →
dust2	13–4	0.09	18%	27 Oct →
inferno	7–13	-0.01	12%	27 Oct →
dust2	9–13	0.01	11%	27 Oct →
dust2	13–2	0.14	28%	27 Oct →
nuke	13–7	-0.08	14%	27 Oct →
cache	13–11	0.03	20%	26 Oct →
inferno	13–10	0.00	15%	26 Oct →
nuke	6–13	0.01	27%	26 Oct →
dust2	13–11	0.03	33%	26 Oct →
cache	10–13	0.01	12%	21 Oct →
inferno	1–13	-0.01	10%	21 Oct →
dust2	13–3	0.16	17%	21 Oct →
inferno	13–0	0.08	27%	21 Oct →
nuke	13–1	0.05	10%	21 Oct →
dust2	5–13	0.01	17%	21 Oct →
inferno	13–5	0.01	20%	21 Oct →
inferno	15–15	0.11	13%	21 Oct →
anubis	13–4	0.04	20%	21 Oct →
ancient	5–13	-0.01	19%	20 Oct →
nuke	10–13	-0.03	29%	20 Oct →
nuke	4–13	-0.05	47%	20 Oct →
dust2	10–13	0.08	26%	20 Oct →
nuke	13–3	0.14	20%	20 Oct →
inferno	3–13	-0.07	4%	20 Oct →
inferno	11–13	-0.01	21%	19 Oct →
inferno	13–6	-0.08	23%	19 Oct →
dust2	13–7	0.01	15%	19 Oct →
dust2	7–13	-0.01	15%	19 Oct →
ancient	13–11	0.01	15%	19 Oct →
dust2	13–8	0.07	18%	17 Oct →
anubis	8–13	-0.03	16%	17 Oct →
dust2	5–13	-0.02	22%	17 Oct →
anubis	8–13	0.00	11%	17 Oct →
inferno	8–13	0.02	22%	17 Oct →
mirage	4–13	0.02	21%	17 Oct →
dust2	8–13	0.05	21%	17 Oct →
nuke	13–10	0.00	13%	16 Oct →
nuke	13–4	0.03	23%	16 Oct →
cache	13–11	0.06	30%	16 Oct →
inferno	7–13	0.07	8%	16 Oct →
nuke	11–13	0.07	16%	15 Oct →
nuke	15–15	-0.02	27%	15 Oct →
nuke	6–13	0.02	22%	15 Oct →
mirage	13–2	0.14	12%	15 Oct →
ancient	13–9	0.06	12%	15 Oct →
anubis	13–7	0.05	21%	15 Oct →
mirage	10–13	0.06	13%	10 Oct →
ancient	12–16	-0.01	28%	10 Oct →
mirage	8–13	-0.04	13%	10 Oct →
inferno	13–11	0.01	12%	9 Oct →
nuke	13–11	0.02	25%	9 Oct →
inferno	13–7	0.11	26%	8 Oct →
nuke	13–2	0.15	23%	8 Oct →
mirage	10–13	0.06	15%	7 Oct →
inferno	10–13	0.01	25%	6 Oct →
dust2	13–7	-0.01	19%	6 Oct →
dust2	3–13	-0.08	21%	6 Oct →
nuke	16–13	-0.02	8%	5 Oct →
anubis	9–13	0.07	10%	5 Oct →
dust2	10–13	-0.02	19%	3 Oct →
ancient	9–1	-0.09	6%	1 Oct →
dust2	11–13	0.03	23%	30 Sept →
dust2	13–11	-0.04	21%	30 Sept →
inferno	13–8	0.01	9%	30 Sept →
dust2	16–12	0.07	18%	30 Sept →
dust2	10–13	0.01	27%	30 Sept →
inferno	13–11	0.07	13%	30 Sept →
inferno	9–13	0.00	22%	30 Sept →
dust2	13–5	0.11	20%	29 Sept →
inferno	9–13	-0.00	14%	29 Sept →
mirage	9–13	0.03	29%	29 Sept →
inferno	8–13	-0.05	11%	29 Sept →
ancient	11–13	0.08	12%	28 Sept →
inferno	13–16	0.02	8%	28 Sept →
dust2	6–13	-0.00	18%	28 Sept →
inferno	13–9	0.07	24%	28 Sept →
cache	9–13	0.00	13%	28 Sept →
cache	7–13	-0.10	12%	28 Sept →
nuke	13–9	0.16	23%	28 Sept →
dust2	13–7	0.05	20%	28 Sept →
mirage	10–13	-0.03	13%	26 Sept →
dust2	13–1	-0.03	22%	26 Sept →
anubis	11–13	0.07	20%	26 Sept →
dust2	15–15	-0.02	19%	26 Sept →
inferno	13–11	0.12	21%	25 Sept →