ness — CS2 Stats

76561198795419638[U:1:835153910]✓ No bans

3,944Tracked matches38%Win rate2020Tracked since

5,142Hours in CS70Hrs last 2 wks

CSDB Rating6.2 SolidHybrid Rifler

Premier CS Rating23,187Top 50% of 819 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)

CSDB Leaderboard#1824 of 6847 tracked

FaceitLevel 10 · 1,827 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median
Headshot rate	45.5%	52.8%
Shot accuracy	10.7%	13.7%
Kill/death ratio	1.33	1.08
Match win rate	48.6%	49.2%

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Performance scores

Aim91

Positioning48

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY44–50–6Last 10044%Win rateLLLLWLWWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

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

Aim9.1

Aggression5.2

Utility6.6

Positioning4.8

Opening Duels1.4

Clutch3.6

Sharp aimer

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 94% playstyle similarity

Most alike: utility contribution, 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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

Reaction time. 556ms 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

Aim9.1

Positioning4.8

Utility6.6

Mechanics7.5

Opening Duels1.4

Win Impact1.2

Composite 6.2/10 (Solid), 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 0.03 → last ⅓ avg 0.01

Reaction time536ms−74ms

first ⅓ avg 610ms → last ⅓ avg 536ms

Headshot accuracy21.5%+3.3%

first ⅓ avg 18.2% → last ⅓ avg 21.5%

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

0.15Best rating — dust2 13–1

13–1Biggest win — dust2

5Longest win streak

L4Current streak

7–12In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 60% over 10anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	27	13–14	48%	0.03
mirage	B	19	10–9	53%	0.02
ancient	C	13	5–8	38%	0.02
inferno	A	10	6–4	60%	0.03
nuke	B	8	4–4	50%	0.01
anubis	D	8	2–6	25%	0.03
cache	C	8	3–5	38%	0.03
train	—	4	1–3	25%	0.00
vertigo	—	2	0–2	0%	0.03
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

140,089Lifetime kills

1.33K/D · Top 25% of Level 10 players

6,183Matches

48.6%Match win rate

45.5%Headshot %

10.7%Shot accuracy

19,556MVPs

2,959Hours (in match)

7,447Bombs planted

1,796Bombs defused

Most-used weapons

AK-4747,852

M4A4 / M4A1-S22,451

AWP20,450

Desert Eagle9,515

P2000 / USP-S7,631

Glock-185,264

MP93,057

MAC-102,716

Galil AR2,559

P2502,310

Lifetime map wins

11,089dust2

8,367inferno

4,379nuke

3,415vertigo

1,547cbble

1,287train

216lake

206office

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

Faceit stats

Combat

857Matches

52%Win rate

1.28Avg K/D

91.8ADR

38%Headshot %

Clutches & streaks

38%1v1 clutch win

30%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	105	50%	1.29	18.0
Dust2	91	59%	1.56	20.3
Anubis	50	46%	1.31	17.4
Inferno	49	65%	1.38	19.1
Ancient	43	51%	1.35	20.3
Nuke	36	44%	1.57	21.0
Vertigo	16	44%	1.38	19.9
Overpass	6	33%	1.11	18.5

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.

21.6%Headshot accuracy

43.5%Accuracy (enemy spotted)

41.8%Spray accuracy

83.6%Counter-strafing

8.7°Preaim

556msReaction time

32.3%T opening success

38.9%CT opening success

0.70Enemies flashed / flash

6.7%Flash assists

13.20HE damage / grenade

10.55Flashes / 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 32.2796% — below the 40% mark we flag

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.

25% win rate across 8 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
nuke	8–13	-0.05	26%	27 Aug →
mirage	10–13	0.03	19%	27 Aug →
mirage	6–13	-0.03	6%	27 Aug →
ancient	8–13	0.04	10%	27 Aug →
dust2	13–2	0.10	15%	27 Aug →
anubis	10–13	0.01	10%	26 Aug →
dust2	13–10	0.05	38%	26 Aug →
inferno	13–2	0.13	41%	26 Aug →
ancient	13–11	0.10	25%	25 Aug →
ancient	2–13	-0.04	33%	25 Aug →
mirage	13–11	0.04	29%	24 Aug →
ancient	9–13	-0.04	34%	24 Aug →
cache	7–13	-0.02	21%	23 Aug →
inferno	13–10	0.02	21%	23 Aug →
mirage	0–8	-0.04	33%	23 Aug →
dust2	19–22	0.04	14%	23 Aug →
dust2	8–13	-0.00	19%	22 Aug →
dust2	4–13	-0.01	16%	22 Aug →
train	12–5	0.01	39%	22 Aug →
train	8–13	0.06	20%	22 Aug →
cache	12–12	0.03	15%	22 Aug →
cache	10–13	-0.01	13%	22 Aug →
train	2–13	-0.05	0%	22 Aug →
nuke	13–10	0.02	16%	22 Aug →
ancient	12–12	-0.06	11%	21 Aug →
nuke	11–13	-0.01	23%	21 Aug →
overpass	12–12	-0.03	31%	21 Aug →
vertigo	12–12	0.01	27%	21 Aug →
mirage	13–9	-0.04	24%	21 Aug →
inferno	13–5	0.04	21%	21 Aug →
anubis	3–13	-0.05	21%	20 Aug →
inferno	11–13	0.06	28%	17 Aug →
dust2	11–13	-0.03	10%	16 Aug →
inferno	13–6	0.04	19%	16 Aug →
ancient	10–13	0.00	18%	16 Aug →
dust2	13–6	0.01	20%	16 Aug →
dust2	13–1	0.15	41%	16 Aug →
vertigo	11–13	0.06	24%	16 Aug →
ancient	9–13	0.01	26%	15 Aug →
mirage	13–7	0.09	22%	14 Aug →
mirage	8–13	-0.02	18%	14 Aug →
inferno	13–2	0.02	21%	14 Aug →
anubis	8–13	0.06	22%	14 Aug →
mirage	8–13	0.01	19%	14 Aug →
dust2	16–13	0.04	20%	14 Aug →
dust2	13–6	0.06	15%	14 Aug →
dust2	11–13	0.06	10%	13 Aug →
dust2	0–13	-0.03	33%	13 Aug →
mirage	13–11	0.02	17%	12 Aug →
dust2	11–13	0.01	29%	12 Aug →
inferno	1–13	-0.03	14%	12 Aug →
ancient	13–11	0.06	15%	11 Aug →
dust2	5–13	0.13	24%	11 Aug →
anubis	11–13	0.09	16%	10 Aug →
mirage	11–13	-0.02	21%	10 Aug →
nuke	3–13	-0.05	16%	9 Aug →
dust2	13–8	0.10	10%	9 Aug →
mirage	11–13	-0.00	16%	9 Aug →
cache	13–10	0.14	22%	9 Aug →
inferno	15–15	0.00	22%	9 Aug →
cache	5–13	-0.04	15%	9 Aug →
mirage	13–5	-0.04	18%	29 Jul →
dust2	13–7	0.13	20%	29 Jul →
mirage	13–11	0.10	14%	28 Jul →
anubis	13–3	0.07	26%	28 Jul →
anubis	6–13	-0.03	10%	28 Jul →
dust2	6–13	-0.05	12%	28 Jul →
inferno	16–13	-0.01	25%	27 Jul →
mirage	4–13	-0.03	9%	27 Jul →
nuke	9–13	0.04	22%	27 Jul →
ancient	12–16	0.04	15%	26 Jul →
mirage	11–13	-0.02	18%	26 Jul →
cache	3–13	-0.03	16%	26 Jul →
dust2	13–6	0.01	16%	26 Jul →
nuke	13–10	-0.01	20%	25 Jul →
dust2	8–13	0.03	14%	25 Jul →
cache	13–7	0.11	21%	25 Jul →
anubis	7–13	0.01	16%	25 Jul →
dust2	16–13	0.01	19%	25 Jul →
ancient	13–5	0.04	26%	25 Jul →
dust2	13–10	-0.00	17%	25 Jul →
cache	13–4	0.07	21%	24 Jul →
dust2	9–13	0.04	16%	24 Jul →
mirage	13–8	0.04	20%	24 Jul →
ancient	13–10	0.05	10%	24 Jul →
mirage	13–10	0.03	22%	24 Jul →
ancient	11–13	0.05	18%	23 Jul →
dust2	8–13	-0.05	20%	23 Jul →
dust2	8–13	-0.02	14%	23 Jul →
inferno	10–13	0.05	17%	23 Jul →
mirage	13–7	0.14	23%	23 Jul →
nuke	13–7	-0.02	10%	23 Jul →
nuke	13–9	0.13	22%	23 Jul →
dust2	16–14	0.02	8%	23 Jul →
mirage	13–3	0.04	14%	22 Jul →
train	12–12	-0.01	34%	22 Jul →
anubis	13–8	0.05	15%	22 Jul →
ancient	13–11	0.08	25%	21 Jul →
dust2	16–13	0.06	11%	21 Jul →
dust2	11–13	0.01	27%	20 Jul →