ktznsty — CS2 Stats

76561198339832821[U:1:379567093]✓ No bans

813Tracked matches37%Win rate2025Tracked since

CSDB Rating3.7 Learning

Premier CS Rating5,000Light Blue band · top ~78.8% of ranked players (population est.)

CSDB Leaderboard#19053 of 24778 tracked

Ladder ranks via Leetify

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Performance scores

Aim43

Positioning63

Utility41

0–100 skill scores via Leetify.

Recent form

COLD56–40–4Last 10056%Win rateLLLLLLLLLW

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Aim4.3

Aggression7.6

Utility4.1

Positioning6.3

Opening Duels3.8

Clutch0.0

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 ropz 84% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

T-side openings. Opening success drops from 57% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.3

Positioning6.3

Utility4.1

Mechanics3.6

Opening Duels3.8

Win Impact0.6

Composite 3.7/10 (Learning), 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 rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time618ms−40ms

first ⅓ avg 658ms → last ⅓ avg 618ms

Headshot accuracy14.8%−1.9%

first ⅓ avg 16.7% → last ⅓ avg 14.8%

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 — vertigo 13–3

13–0Biggest win — nuke

6Longest win streak

L9Current streak

9–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 69% over 13dust2Weakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	19	11–8	58%	0.03
ancient	B	15	7–8	47%	-0.01
nuke	A	13	8–5	62%	0.00
anubis	S	13	9–4	69%	0.02
dust2	C	11	4–7	36%	-0.01
mirage	A	10	6–4	60%	0.00
cache	C	10	4–6	40%	0.00
train	—	4	3–1	75%	0.07
vertigo	—	4	4–0	100%	0.06
overpass	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

57Matches

42%Win rate

0.85Avg K/D

54.5ADR

29%Headshot %

Clutches & streaks

0%1v1 clutch win

100%1v2 clutch win

3Longest win streak

Recent Faceit resultsLLLWL

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.

14.3%Headshot accuracy

32.7%Accuracy (enemy spotted)

33.2%Spray accuracy

66.2%Counter-strafing

10.4°Preaim

625msReaction time

33.2%T opening success

56.9%CT opening success

0.41Enemies flashed / flash

2.1%Flash assists

6.99HE damage / grenade

4.71Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.2575% — below the 15% mark we flag
Aim Training →
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 0.4105 — 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 33.1788% — below the 40% mark we flag

Spend your practice time on Dust 2

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	4–13	-0.06	11%	27 Aug →
nuke	5–13	0.01	15%	27 Aug →
mirage	9–13	-0.08	11%	27 Aug →
inferno	12–16	-0.05	19%	27 Aug →
cache	3–13	0.05	17%	27 Aug →
cache	7–13	-0.03	10%	27 Aug →
ancient	9–13	-0.02	14%	26 Aug →
nuke	10–13	-0.01	21%	26 Aug →
mirage	2–13	-0.01	19%	26 Aug →
mirage	13–6	-0.01	10%	26 Aug →
anubis	5–13	-0.05	12%	20 Aug →
inferno	11–13	-0.00	17%	20 Aug →
nuke	13–11	-0.05	11%	20 Aug →
mirage	11–13	-0.01	13%	20 Aug →
cache	11–13	-0.03	7%	20 Aug →
inferno	6–13	-0.02	9%	19 Aug →
inferno	13–7	0.08	7%	19 Aug →
ancient	4–13	0.03	13%	18 Aug →
ancient	13–7	-0.06	13%	18 Aug →
dust2	13–8	-0.10	17%	18 Aug →
anubis	5–13	-0.05	23%	18 Aug →
nuke	13–6	-0.04	7%	18 Aug →
dust2	10–13	-0.01	10%	14 Aug →
mirage	13–4	-0.03	13%	14 Aug →
anubis	13–2	0.09	13%	14 Aug →
dust2	13–4	-0.05	20%	14 Aug →
cache	8–13	-0.02	22%	14 Aug →
inferno	13–9	0.03	18%	13 Aug →
ancient	4–13	-0.03	13%	13 Aug →
cache	13–11	0.01	21%	13 Aug →
nuke	13–5	0.03	17%	13 Aug →
dust2	13–2	0.06	27%	13 Aug →
train	13–11	0.09	19%	13 Aug →
ancient	13–9	0.01	12%	13 Aug →
inferno	13–2	0.08	13%	12 Aug →
inferno	13–16	-0.01	13%	12 Aug →
nuke	16–14	-0.01	12%	12 Aug →
anubis	13–4	0.08	14%	12 Aug →
train	11–13	0.04	18%	12 Aug →
cache	13–10	-0.01	16%	11 Aug →
train	13–7	0.07	6%	10 Aug →
mirage	13–9	0.02	19%	9 Aug →
dust2	9–13	-0.01	22%	9 Aug →
ancient	13–6	0.04	23%	6 Aug →
inferno	13–3	0.08	23%	6 Aug →
dust2	8–13	-0.07	2%	6 Aug →
inferno	13–5	-0.02	11%	6 Aug →
mirage	13–4	0.00	21%	6 Aug →
cache	13–11	-0.00	12%	6 Aug →
inferno	12–16	-0.01	13%	5 Aug →
ancient	13–11	-0.01	11%	5 Aug →
anubis	11–13	-0.01	5%	1 Aug →
nuke	6–13	0.00	13%	31 Jul →
inferno	13–10	-0.02	15%	31 Jul →
vertigo	13–4	0.10	19%	31 Jul →
dust2	12–12	-0.00	20%	31 Jul →
vertigo	13–10	0.03	14%	30 Jul →
ancient	13–9	0.04	12%	30 Jul →
nuke	13–7	0.05	11%	30 Jul →
vertigo	13–11	-0.02	22%	30 Jul →
anubis	15–15	0.07	8%	29 Jul →
inferno	9–13	0.04	17%	29 Jul →
cache	9–13	-0.02	3%	28 Jul →
nuke	13–6	0.08	10%	28 Jul →
ancient	8–13	-0.08	7%	28 Jul →
anubis	9–2	-0.05	13%	27 Jul →
vertigo	13–3	0.15	18%	23 Jul →
ancient	12–12	0.04	7%	23 Jul →
dust2	13–6	0.03	14%	23 Jul →
anubis	13–3	0.09	10%	23 Jul →
nuke	11–13	-0.08	19%	23 Jul →
inferno	13–10	0.04	24%	23 Jul →
mirage	13–3	-0.04	7%	22 Jul →
inferno	12–16	0.05	26%	22 Jul →
anubis	13–6	-0.00	17%	22 Jul →
nuke	9–13	-0.01	11%	21 Jul →
cache	8–13	-0.05	13%	21 Jul →
anubis	13–6	0.00	10%	21 Jul →
nuke	13–0	0.08	13%	21 Jul →
ancient	13–11	0.02	21%	21 Jul →
inferno	13–1	0.10	27%	21 Jul →
inferno	13–11	0.01	13%	21 Jul →
anubis	13–9	0.08	23%	17 Jul →
dust2	6–13	-0.06	13%	17 Jul →
train	13–6	0.08	35%	17 Jul →
nuke	13–8	-0.01	30%	16 Jul →
ancient	7–13	0.02	12%	16 Jul →
anubis	13–10	0.03	14%	16 Jul →
ancient	13–16	-0.03	7%	16 Jul →
inferno	10–13	0.02	14%	16 Jul →
anubis	13–9	-0.07	3%	16 Jul →
ancient	13–10	-0.01	12%	16 Jul →
inferno	13–6	-0.01	19%	15 Jul →
dust2	10–13	0.11	21%	15 Jul →
mirage	12–12	0.08	11%	15 Jul →
mirage	13–2	0.11	16%	13 Jul →
inferno	13–9	0.10	15%	13 Jul →
cache	13–2	0.10	15%	13 Jul →
dust2	6–13	0.01	23%	13 Jul →
overpass	2–13	-0.07	36%	13 Jul →