[KNTZ] Pseudo — CS2 Stats

76561198061163772[U:1:100898044]Steam profile ↗✓ No bans

1,259Tracked matches48%Win rate2020Tracked since

2,192Hours in CS15Hrs last 2 wks

CSDB Rating5.2 DevelopingHybrid Rifler

Premier CS Rating8,057Light Blue band · top ~64.2% of ranked players (population est.)

CSDB Leaderboard#16510 of 21964 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median	Level 3 median	vs Level 3
Headshot rate	38.9%	42.1%	42.1%	3.2% short
Shot accuracy	18.9%	12.9%	12.1%	above
Kill/death ratio	1.27	1.00	0.99	above
Match win rate	38.0%	42.9%	43.9%	5.9% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim76

Positioning49

Utility47

0–100 skill scores via Leetify.

Recent form

HOT54–43–3Last 10054%Win rateLWWWWWLLWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim7.6

Aggression6.4

Utility4.7

Positioning4.9

Opening Duels1.6

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 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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

Areas to improve

Reaction time. 581ms 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

Aim7.6

Positioning4.9

Utility4.7

Mechanics7.8

Opening Duels1.6

Win Impact4.4

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.01

Reaction time579ms−64ms

first ⅓ avg 643ms → last ⅓ avg 579ms

Headshot accuracy15.5%−0.2%

first ⅓ avg 15.7% → last ⅓ avg 15.5%

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

0.19Best rating — cache 13–1

13–1Biggest win — cache

5Longest win streak

11–3In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 71% over 7mirageWeakest map · 50% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	22	11–11	50%	0.01
dust2	B	19	10–9	53%	0.04
anubis	B	13	7–6	54%	0.01
inferno	B	13	7–6	54%	0.00
nuke	S	10	7–3	70%	-0.01
ancient	B	10	5–5	50%	0.04
cache	S	7	5–2	71%	0.07
vertigo	—	4	1–3	25%	0.04
overpass	—	2	1–1	50%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 22). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

69,304Lifetime kills

1.27K/D · Top 25% of Level 2 players

3,454Matches

38.0%Match win rate

38.9%Headshot %

18.9%Shot accuracy · Top 10% of Level 2 players

6,664MVPs

1,502Hours (in match)

4,374Bombs planted

723Bombs defused

Most-used weapons

AK-4725,877

M4A4 / M4A1-S13,063

AUG4,675

AWP4,300

SG 5533,110

P2000 / USP-S2,851

Desert Eagle2,068

Glock-181,916

MP91,652

SSG 081,242

Lifetime map wins

3,326inferno

2,897dust2

2,669vertigo

2,448nuke

730train

155lake

139cbble

137office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.9%Headshot accuracy

36.2%Accuracy (enemy spotted)

38.1%Spray accuracy

85.1%Counter-strafing

9.2°Preaim

581msReaction time

33.6%T opening success

38.9%CT opening success

0.52Enemies flashed / flash

2.2%Flash assists

11.31HE damage / grenade

8.87Flashes / 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 33.6246% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	-0.02	20%	27 Aug →
mirage	13–6	0.05	5%	27 Aug →
anubis	13–8	-0.06	13%	27 Aug →
nuke	13–11	0.06	16%	27 Aug →
inferno	13–3	0.03	18%	27 Aug →
mirage	16–14	0.03	14%	26 Aug →
ancient	3–13	-0.08	23%	25 Aug →
dust2	10–13	-0.04	9%	25 Aug →
cache	13–8	0.03	25%	25 Aug →
nuke	13–10	0.01	14%	23 Aug →
mirage	10–13	0.06	11%	23 Aug →
anubis	16–12	0.04	20%	23 Aug →
mirage	12–16	0.01	15%	23 Aug →
cache	13–6	-0.04	14%	19 Aug →
inferno	13–2	0.06	15%	19 Aug →
mirage	13–8	0.01	11%	19 Aug →
inferno	6–13	-0.00	21%	19 Aug →
ancient	8–13	0.04	9%	18 Aug →
mirage	15–15	-0.03	16%	18 Aug →
anubis	10–13	0.01	38%	18 Aug →
mirage	5–13	-0.02	20%	11 Aug →
mirage	13–8	-0.04	16%	11 Aug →
ancient	10–13	-0.02	20%	11 Aug →
cache	6–13	0.17	22%	8 Aug →
inferno	13–6	0.02	13%	8 Aug →
anubis	11–13	0.01	8%	7 Aug →
nuke	7–13	-0.07	6%	7 Aug →
cache	9–13	0.07	16%	7 Aug →
anubis	13–6	0.05	14%	7 Aug →
dust2	6–13	0.08	17%	7 Aug →
ancient	16–13	0.00	8%	6 Aug →
mirage	13–9	0.07	13%	6 Aug →
anubis	13–8	-0.02	16%	6 Aug →
dust2	9–13	0.01	21%	6 Aug →
dust2	10–9	0.02	22%	6 Aug →
inferno	9–13	0.01	22%	5 Aug →
mirage	0–13	-0.09	5%	5 Aug →
ancient	16–13	0.02	21%	5 Aug →
mirage	4–13	-0.09	21%	5 Aug →
dust2	14–16	-0.05	15%	4 Aug →
inferno	13–6	-0.03	13%	4 Aug →
mirage	13–11	-0.00	18%	4 Aug →
nuke	13–3	-0.00	16%	4 Aug →
dust2	13–2	0.08	10%	4 Aug →
vertigo	3–13	-0.00	22%	4 Aug →
dust2	13–6	0.02	35%	3 Aug →
anubis	7–13	0.01	20%	31 Jul →
anubis	10–13	0.03	17%	31 Jul →
ancient	13–9	0.02	12%	31 Jul →
nuke	5–13	-0.06	14%	30 Jul →
mirage	13–10	-0.00	27%	30 Jul →
anubis	13–10	0.02	7%	30 Jul →
cache	13–2	0.02	24%	30 Jul →
inferno	7–13	-0.05	16%	30 Jul →
nuke	13–11	0.01	22%	16 Jul →
mirage	13–4	0.14	10%	16 Jul →
cache	13–1	0.19	18%	16 Jul →
anubis	9–13	0.14	19%	15 Jul →
vertigo	13–1	0.01	12%	15 Jul →
nuke	13–10	-0.01	26%	14 Jul →
anubis	6–4	-0.08	9%	14 Jul →
vertigo	12–12	0.13	27%	14 Jul →
dust2	13–3	0.08	22%	14 Jul →
mirage	9–13	-0.06	16%	13 Jul →
anubis	13–8	0.05	19%	13 Jul →
vertigo	0–13	0.03	23%	13 Jul →
dust2	13–7	0.07	18%	13 Jul →
dust2	6–13	0.04	17%	13 Jul →
dust2	13–11	0.02	32%	12 Jul →
mirage	10–13	-0.05	18%	12 Jul →
inferno	8–13	0.03	16%	12 Jul →
cache	13–9	0.06	15%	12 Jul →
dust2	13–10	0.07	21%	11 Jul →
nuke	4–13	-0.01	4%	11 Jul →
ancient	13–3	0.13	12%	11 Jul →
dust2	13–8	0.17	21%	11 Jul →
dust2	2–13	0.03	23%	11 Jul →
dust2	13–8	0.05	12%	9 Jul →
ancient	8–13	0.09	13%	5 Jul →
mirage	13–1	0.17	10%	5 Jul →
dust2	6–13	0.01	8%	5 Jul →
nuke	16–14	0.05	18%	5 Jul →
dust2	6–13	0.01	5%	25 Jun →
inferno	13–11	0.10	19%	22 Jun →
inferno	13–11	-0.01	22%	13 Jun →
mirage	13–11	-0.02	15%	4 Jun →
mirage	14–16	0.03	17%	3 Jun →
dust2	13–3	0.08	39%	3 Jun →
inferno	4–13	-0.06	15%	2 Jun →
overpass	13–7	-0.00	6%	31 May →
anubis	15–15	0.00	8%	31 May →
mirage	9–13	0.09	19%	31 May →
inferno	1–13	-0.10	13%	31 May →
nuke	13–10	-0.06	17%	29 May →
mirage	13–10	0.05	13%	29 May →
ancient	7–13	0.10	16%	29 May →
overpass	6–13	0.10	18%	29 May →
ancient	13–10	0.07	12%	29 May →
mirage	10–13	-0.04	8%	29 May →
inferno	13–7	0.02	17%	28 May →