Niz — CS2 Stats

AQ76561198077427066[U:1:117161338]Steam profile ↗✓ No bans

2,212Tracked matches93%Win rate2020Tracked since

CSDB Rating8.1 StrongPositional Player

Premier CS Rating31,123Gold band · top ~0.6% of ranked players (population est.)

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning71

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY86–14Last 10086%Win rateWWWLWWLWWW

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −0.4pp headshot accuracy · +73ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 25%
Avg reaction 567ms

Last 10

8–2 · 80% win rate
Avg rating 0.02
Avg headshot accuracy 27%
Avg reaction 559ms

Last 20

18–2 · 90% win rate
Avg rating 0.04
Avg headshot accuracy 28%
Avg reaction 523ms

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 (+1.1 against its own average).

Aim8.8

Utility6.9

Positioning7.1

Opening Duels4.8

Clutch5.0

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.

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 Twistzz 93% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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

Aim8.8

Positioning7.1

Utility6.9

Mechanics7.3

Opening Duels5.7

Win Impact10.0

Composite 8.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time511ms−80ms

first ⅓ avg 591ms → last ⅓ avg 511ms

Headshot accuracy25.6%−3.0%

first ⅓ avg 28.6% → last ⅓ avg 25.6%

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

0.20Best match rating · 13–2 · cache, 12 Nov →

60%Best headshot accuracy · 13–0 · inferno, 18 Oct →

313msFastest reaction time · 13–10 · inferno, 21 Oct →

13–0Biggest win · cache, 3 Nov →

Across the last 100 tracked matches.

Highlights

28Longest win streak

W3Current streak

6–3In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 100% over 14dust2Weakest map · 81% over 27

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	27	22–5	81%	0.03
ancient	S	22	18–4	82%	0.03
mirage	S	16	14–2	88%	0.05
cache	S	14	14–0	100%	0.05
nuke	S	13	11–2	85%	0.02
inferno	S	6	5–1	83%	0.05
anubis	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (81% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,097Matches

54%Win rate

1.21Avg K/D

85.8ADR

55%Headshot %

Clutches & streaks

45%1v1 clutch win

26%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	289	58%	1.20	17.6
Ancient	258	56%	1.21	17.8
Anubis	154	55%	1.24	16.9
Mirage	133	48%	1.19	18.0
Nuke	96	49%	1.14	16.6
Cache	54	52%	1.16	16.4
Inferno	30	47%	1.25	17.7
Vertigo	24	46%	1.36	19.3

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.

26.3%Headshot accuracy

36.4%Accuracy (enemy spotted)

40.2%Spray accuracy

82.9%Counter-strafing

9.8°Preaim

518msReaction time

50.2%T opening success

55.7%CT opening success

0.56Enemies flashed / flash

8.3%Flash assists

8.70HE damage / grenade

16.19Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–5	0.07	18%	15 Nov →
nuke	13–11	-0.07	28%	15 Nov →
dust2	13–3	0.05	30%	15 Nov →
dust2	14–16	-0.02	18%	14 Nov →
cache	13–10	0.01	30%	14 Nov →
ancient	13–6	0.01	28%	14 Nov →
inferno	9–13	0.05	33%	14 Nov →
mirage	7–3	0.05	26%	14 Nov →
nuke	13–3	-0.00	33%	13 Nov →
cache	13–10	0.01	31%	13 Nov →
ancient	13–5	0.12	31%	13 Nov →
ancient	13–6	0.00	25%	13 Nov →
ancient	13–6	0.00	27%	12 Nov →
mirage	13–10	0.13	20%	12 Nov →
inferno	13–4	0.08	23%	12 Nov →
cache	13–2	0.20	48%	12 Nov →
cache	13–0	0.09	26%	3 Nov →
dust2	13–10	0.02	24%	2 Nov →
nuke	13–1	0.02	27%	2 Nov →
ancient	13–7	-0.02	29%	2 Nov →
mirage	13–2	0.11	24%	2 Nov →
dust2	13–8	0.07	34%	1 Nov →
ancient	13–3	0.02	29%	1 Nov →
mirage	13–4	-0.01	25%	1 Nov →
nuke	13–4	0.01	22%	1 Nov →
mirage	13–1	0.07	18%	1 Nov →
mirage	10–3	-0.01	21%	1 Nov →
dust2	13–4	0.07	21%	1 Nov →
ancient	13–8	0.01	16%	31 Oct →
dust2	13–6	0.05	29%	31 Oct →
cache	13–1	0.09	14%	31 Oct →
cache	13–9	0.04	29%	31 Oct →
ancient	13–7	0.05	10%	31 Oct →
nuke	12–2	0.03	33%	30 Oct →
mirage	13–0	0.07	17%	30 Oct →
mirage	1–13	-0.08	19%	30 Oct →
mirage	13–9	0.04	21%	29 Oct →
inferno	13–4	0.08	23%	26 Oct →
ancient	13–1	0.05	18%	25 Oct →
ancient	10–13	-0.07	18%	24 Oct →
cache	13–7	0.02	30%	24 Oct →
ancient	13–4	0.01	26%	24 Oct →
cache	13–2	0.11	15%	23 Oct →
anubis	13–4	0.00	36%	23 Oct →
inferno	13–10	0.02	13%	21 Oct →
dust2	13–3	0.04	21%	21 Oct →
cache	13–5	0.03	8%	21 Oct →
dust2	13–1	0.04	22%	21 Oct →
inferno	13–7	0.02	16%	18 Oct →
dust2	13–6	0.01	28%	18 Oct →
mirage	13–10	0.08	39%	18 Oct →
inferno	13–0	0.02	60%	18 Oct →
mirage	13–4	0.01	24%	18 Oct →
mirage	13–11	0.06	24%	1 Oct →
nuke	13–0	-0.01	26%	23 Sept →
cache	13–8	-0.01	21%	23 Sept →
anubis	13–5	0.05	18%	19 Sept →
mirage	8–13	0.05	25%	8 Sept →
mirage	13–1	0.18	53%	6 Sept →
dust2	13–8	0.08	25%	6 Sept →
cache	13–7	0.05	16%	10 Aug →
ancient	13–7	0.05	27%	10 Aug →
dust2	13–6	0.07	24%	6 Aug →
ancient	4–0	0.01	33%	6 Aug →
ancient	13–2	0.03	51%	30 Jul →
ancient	13–4	0.11	31%	30 Jul →
nuke	13–4	0.12	29%	30 Jul →
dust2	10–13	-0.01	27%	29 Jul →
dust2	13–4	-0.00	26%	29 Jul →
dust2	13–5	0.01	17%	29 Jul →
cache	13–9	0.02	25%	23 Jul →
dust2	13–5	0.05	46%	22 Jul →
nuke	13–6	0.10	29%	22 Jul →
dust2	13–3	0.02	20%	22 Jul →
dust2	11–13	0.04	28%	18 Jul →
dust2	13–7	0.06	30%	15 Jul →
ancient	10–13	0.00	24%	14 Jul →
dust2	13–0	0.01	14%	14 Jul →
ancient	13–4	0.06	41%	14 Jul →
nuke	1–13	-0.09	30%	13 Jul →
dust2	13–3	0.07	22%	13 Jul →
ancient	13–2	0.12	35%	13 Jul →
dust2	13–1	0.02	30%	12 Jul →
cache	13–2	0.03	32%	12 Jul →
dust2	13–3	0.13	30%	12 Jul →
ancient	12–16	0.03	25%	11 Jul →
dust2	6–13	-0.10	19%	11 Jul →
cache	13–10	0.00	32%	11 Jul →
dust2	5–13	-0.06	25%	10 Jul →
ancient	10–13	-0.05	12%	10 Jul →
dust2	13–3	0.06	38%	10 Jul →
ancient	13–11	0.02	27%	2 Jul →
nuke	13–3	0.04	46%	27 Jun →
ancient	4–4	0.00	38%	27 Jun →
dust2	13–10	-0.00	17%	26 Jun →
mirage	13–4	0.09	45%	26 Jun →
nuke	13–7	0.00	22%	26 Jun →
nuke	11–13	0.02	20%	26 Jun →
dust2	13–11	0.01	41%	25 Jun →
mirage	16–14	0.05	29%	25 Jun →