netiW0wnzzz — CS2 Stats

ES76561197991177612[U:1:30911884]Steam profile ↗✓ No bans

1,991Tracked matches54%Win rate2020Tracked since

19,177Hours in CS57Hrs last 2 wks

CSDB Rating6.7 SolidHybrid Rifler

Premier CS Rating23,594Top 50% of 29,473 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)

CSDB Leaderboard#7459 of 37826 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), 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	Pink band median	Red band median	vs Red band
Headshot rate	57.9%	47.1%	50.0%	above
Shot accuracy	18.6%	12.8%	13.5%	above
Kill/death ratio	1.24	1.08	1.13	above
Match win rate	48.7%	46.6%	48.4%	meets

Across every metric we can compare, this profile already matches the typical Red band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim89

Positioning46

Utility63

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateLWWLLLTWLL

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

Player DNA

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

Aim8.9

Aggression6.3

Utility6.3

Positioning4.6

Opening Duels2.9

Clutch3.6

Sharp aimerStrong 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.

Your pro match

Plays most like NiKo 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9

Positioning4.6

Utility6.3

Mechanics7.8

Opening Duels2.9

Win Impact6.2

Composite 6.7/10 (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 rating-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time509ms−46ms

first ⅓ avg 555ms → last ⅓ avg 509ms

Headshot accuracy20.4%−0.9%

first ⅓ avg 21.3% → 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

0.17Best rating — dust2 13–4

13–1Biggest win — dust2

5Longest win streak

11–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 57% over 56cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	56	32–24	57%	0.01
inferno	C	25	10–15	40%	-0.00
nuke	B	10	5–5	50%	-0.01
cache	D	6	1–5	17%	-0.00
mirage	—	2	2–0	100%	0.05
overpass	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Lifetime stats

243,798Lifetime kills

1.24K/D · Top 25% of Pink band

7,264Matches

48.7%Match win rate · Top 50% of Pink band

57.9%Headshot % · Top 25% of Pink band

18.6%Shot accuracy · Top 10% of Pink band

23,873MVPs

3,946Hours (in match)

6,186Bombs planted

1,900Bombs defused

Most-used weapons

AK-47121,125

M4A4 / M4A1-S35,448

P2000 / USP-S26,909

Desert Eagle23,373

AWP10,224

Glock-187,675

P2505,512

FAMAS4,678

MP93,735

Galil AR3,142

Lifetime map wins

36,624dust2

18,249inferno

3,597nuke

3,004cbble

2,073train

476vertigo

106aztec

70dust

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

Faceit stats

Combat

1,517Matches

53%Win rate

1.13Avg K/D

81.1ADR

42%Headshot %

Clutches & streaks

38%1v1 clutch win

17%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	45	69%	1.25	16.8
Inferno	31	55%	1.32	17.7
Nuke	15	33%	0.86	16.9
Mirage	11	55%	0.96	14.6
Iris	8	50%	1.00	15.4
Cache	7	43%	1.04	18.4
Ancient	6	33%	0.90	13.8
Mills	6	83%	1.76	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.

19.9%Headshot accuracy

39.6%Accuracy (enemy spotted)

41.4%Spray accuracy

85.2%Counter-strafing

9.2°Preaim

513msReaction time

30.5%T opening success

52.6%CT opening success

0.47Enemies flashed / flash

8.7%Flash assists

9.98HE damage / grenade

12.33Flashes / 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 0.4747 — below the 0.5 mark we flag
Grenade Lineups →
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 30.5154% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	3–13	-0.08	26%	29 Aug →
nuke	13–3	0.09	19%	27 Aug →
inferno	13–8	0.06	21%	26 Aug →
dust2	9–13	-0.04	24%	25 Aug →
dust2	3–13	-0.04	27%	24 Aug →
dust2	2–13	-0.05	40%	24 Aug →
dust2	12–12	-0.01	19%	24 Aug →
dust2	13–11	-0.03	32%	23 Aug →
dust2	6–13	-0.03	21%	23 Aug →
dust2	8–13	-0.05	16%	23 Aug →
mirage	13–4	0.01	28%	23 Aug →
inferno	13–7	0.05	29%	22 Aug →
dust2	13–10	-0.02	22%	22 Aug →
inferno	13–16	0.07	15%	21 Aug →
inferno	1–9	-0.11	9%	21 Aug →
inferno	13–11	-0.03	10%	21 Aug →
inferno	5–9	0.02	24%	21 Aug →
inferno	4–9	-0.06	22%	20 Aug →
dust2	13–1	0.06	18%	17 Aug →
dust2	12–12	0.02	14%	16 Aug →
dust2	10–13	-0.03	20%	16 Aug →
dust2	11–13	-0.01	28%	15 Aug →
dust2	13–8	-0.05	8%	15 Aug →
dust2	13–6	0.05	22%	10 Aug →
inferno	13–10	0.02	22%	9 Aug →
nuke	5–13	-0.07	14%	9 Aug →
dust2	13–7	0.02	17%	7 Aug →
dust2	16–14	0.06	23%	7 Aug →
cache	8–13	-0.00	15%	7 Aug →
inferno	13–5	0.06	15%	7 Aug →
dust2	13–6	0.03	17%	7 Aug →
nuke	15–19	-0.02	13%	5 Aug →
cache	7–13	0.02	23%	3 Aug →
inferno	13–11	-0.02	13%	3 Aug →
dust2	13–5	0.08	25%	2 Aug →
dust2	13–11	-0.02	16%	2 Aug →
dust2	13–11	0.11	19%	2 Aug →
dust2	7–13	0.06	18%	2 Aug →
cache	6–13	-0.04	38%	2 Aug →
dust2	12–12	-0.04	25%	2 Aug →
dust2	13–4	0.03	18%	2 Aug →
dust2	6–1	0.10	21%	2 Aug →
inferno	8–13	0.02	19%	30 Jul →
dust2	13–11	0.06	15%	30 Jul →
dust2	13–2	0.07	16%	30 Jul →
dust2	8–13	-0.02	12%	29 Jul →
dust2	3–13	0.03	11%	28 Jul →
dust2	13–4	0.17	33%	28 Jul →
inferno	10–13	0.02	17%	28 Jul →
cache	13–10	0.06	23%	28 Jul →
dust2	8–2	-0.00	22%	27 Jul →
dust2	13–8	-0.02	20%	26 Jul →
dust2	12–12	0.03	26%	26 Jul →
dust2	5–13	-0.08	11%	26 Jul →
inferno	11–13	-0.02	20%	25 Jul →
nuke	8–13	0.00	21%	23 Jul →
mirage	13–3	0.09	29%	23 Jul →
dust2	3–13	-0.09	13%	21 Jul →
dust2	6–13	0.01	18%	21 Jul →
cache	12–16	-0.03	17%	17 Jul →
cache	10–13	-0.02	20%	17 Jul →
inferno	4–13	0.03	26%	17 Jul →
dust2	14–16	0.02	19%	16 Jul →
dust2	13–4	0.10	20%	16 Jul →
dust2	9–13	0.06	20%	16 Jul →
dust2	13–8	0.10	25%	16 Jul →
dust2	13–11	0.06	15%	16 Jul →
nuke	13–6	0.01	21%	12 Jul →
dust2	6–13	-0.04	8%	12 Jul →
nuke	13–8	-0.04	16%	12 Jul →
dust2	2–13	-0.06	21%	9 Jul →
inferno	5–13	-0.06	12%	9 Jul →
dust2	13–11	-0.00	17%	9 Jul →
dust2	13–6	-0.02	23%	9 Jul →
inferno	10–13	-0.02	21%	8 Jul →
dust2	13–11	0.02	20%	8 Jul →
inferno	4–13	-0.08	20%	5 Jul →
inferno	3–13	-0.01	38%	5 Jul →
dust2	13–9	-0.03	20%	5 Jul →
dust2	2–13	-0.07	10%	5 Jul →
dust2	7–13	0.09	31%	2 Jul →
dust2	9–13	-0.06	19%	1 Jul →
inferno	13–6	0.04	22%	1 Jul →
inferno	13–8	0.07	33%	1 Jul →
inferno	13–10	0.01	9%	30 Jun →
dust2	13–10	-0.04	35%	30 Jun →
dust2	13–5	0.07	21%	30 Jun →
inferno	11–13	-0.06	13%	29 Jun →
inferno	13–16	-0.02	10%	29 Jun →
inferno	13–10	-0.02	22%	29 Jun →
nuke	15–15	0.01	24%	29 Jun →
dust2	13–6	0.15	29%	28 Jun →
nuke	13–11	-0.02	37%	28 Jun →
inferno	7–13	0.03	15%	28 Jun →
dust2	13–7	0.03	21%	27 Jun →
overpass	5–13	-0.01	30%	24 Jun →
dust2	13–8	-0.03	18%	23 Jun →
dust2	13–4	0.03	22%	23 Jun →
dust2	13–9	0.04	17%	23 Jun →
nuke	13–10	-0.00	28%	23 Jun →