Kallaz — CS2 Stats

76561198249618826[U:1:289353098]

894Tracked matches47%Win rate2020Tracked since

1,076Hours in CS

CSDB Rating5.9 SolidAggressive Rifler

Premier CS Rating10,459Blue band · top ~52.5% of ranked players (population est.)

CSDB Leaderboard#20606 of 28470 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median	Level 4 median	vs Level 4
Headshot rate	43.7%	42.1%	42.5%	above
Shot accuracy	17.2%	12.1%	10.9%	above
Kill/death ratio	1.07	0.99	0.99	above
Match win rate	40.4%	43.9%	44.2%	3.8% short

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

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim78

Positioning57

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLWWWLLWLWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.8

Aggression7.7

Utility6.5

Positioning5.7

Opening Duels3.1

Clutch0.0

Effective flashes

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 b1t 94% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 576ms 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

Aim7.8

Positioning5.7

Utility6.5

Mechanics7.0

Opening Duels3.1

Win Impact3.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time585ms+21ms

first ⅓ avg 564ms → last ⅓ avg 585ms

Headshot accuracy24.5%+3.3%

first ⅓ avg 21.2% → last ⅓ avg 24.5%

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 — mirage 13–10

13–1Biggest win — mirage

4Longest win streak

12–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 62% over 26anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	32	12–20	38%	0.04
mirage	A	26	16–10	62%	0.04
cache	C	14	6–8	43%	0.04
inferno	B	12	6–6	50%	0.03
anubis	D	7	2–5	29%	0.03
ancient	—	4	3–1	75%	0.04
nuke	—	3	1–2	33%	0.04
vertigo	—	1	0–1	0%	-0.06
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,189Lifetime kills

1.07K/D · Top 50% of Level 3 players

2,205Matches

40.4%Match win rate

43.7%Headshot % · Top 50% of Level 3 players

17.2%Shot accuracy · Top 25% of Level 3 players

4,973MVPs

1,076Hours (in match)

1,776Bombs planted

498Bombs defused

Most-used weapons

AK-4718,626

M4A4 / M4A1-S7,293

AWP4,612

Desert Eagle2,455

P2000 / USP-S1,884

Glock-181,631

AUG1,601

FAMAS857

SSG 08669

MP9650

Lifetime map wins

6,130dust2

2,829inferno

1,333nuke

311vertigo

244train

106office

38cbble

19lake

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

Faceit stats

Combat

5Matches

20%Win rate

0.65Avg K/D

67.1ADR

52%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	100%	0.69	11.0
Ancient	1	0%	0.63	12.0
Inferno	1	0%	1.00	19.0
Nuke	1	0%	0.47	9.0

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.

24.1%Headshot accuracy

32.1%Accuracy (enemy spotted)

38.4%Spray accuracy

81.7%Counter-strafing

9.0°Preaim

576msReaction time

39.8%T opening success

44.9%CT opening success

0.73Enemies flashed / flash

8.7%Flash assists

13.70HE damage / grenade

10.81Flashes / 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 39.7919% — 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.

29% win rate across 7 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
cache	11–13	0.13	21%	26 Aug →
mirage	13–11	0.00	20%	24 Aug →
inferno	16–13	-0.01	21%	22 Aug →
dust2	13–11	0.02	16%	22 Aug →
dust2	3–13	0.02	29%	21 Aug →
cache	8–13	0.07	32%	21 Aug →
dust2	13–9	-0.00	11%	21 Aug →
cache	11–13	-0.06	13%	17 Aug →
dust2	13–2	0.13	27%	17 Aug →
mirage	13–11	-0.01	45%	17 Aug →
mirage	13–11	-0.04	24%	16 Aug →
dust2	13–7	0.07	30%	16 Aug →
inferno	10–13	0.01	20%	16 Aug →
dust2	11–13	0.03	23%	16 Aug →
ancient	13–10	0.09	13%	16 Aug →
mirage	7–13	-0.02	19%	16 Aug →
cache	9–13	0.05	28%	15 Aug →
mirage	9–13	0.07	24%	15 Aug →
mirage	13–1	0.09	39%	15 Aug →
anubis	6–13	0.00	33%	14 Aug →
dust2	10–13	-0.02	8%	14 Aug →
dust2	13–5	0.10	29%	14 Aug →
cache	11–13	0.06	32%	14 Aug →
mirage	6–13	0.03	37%	13 Aug →
mirage	13–11	-0.04	22%	12 Aug →
anubis	13–5	0.03	39%	12 Aug →
inferno	8–13	0.06	25%	12 Aug →
nuke	12–16	0.05	13%	12 Aug →
cache	16–14	0.02	16%	11 Aug →
dust2	5–13	0.01	38%	10 Aug →
dust2	7–13	0.11	24%	10 Aug →
mirage	10–13	-0.04	19%	7 Aug →
dust2	13–11	-0.03	16%	6 Aug →
anubis	8–13	0.04	18%	5 Aug →
mirage	13–4	0.13	20%	5 Aug →
mirage	11–13	0.02	25%	5 Aug →
cache	2–13	-0.03	22%	3 Aug →
dust2	9–13	0.02	16%	3 Aug →
dust2	9–13	0.01	18%	1 Aug →
cache	16–14	0.01	23%	31 Jul →
dust2	13–8	0.13	25%	31 Jul →
mirage	13–11	0.07	29%	31 Jul →
inferno	10–13	0.00	13%	30 Jul →
mirage	13–4	0.06	44%	30 Jul →
anubis	13–5	0.03	19%	30 Jul →
dust2	11–13	0.11	15%	29 Jul →
mirage	13–2	0.07	19%	29 Jul →
dust2	9–13	0.01	17%	28 Jul →
inferno	13–9	0.17	23%	28 Jul →
cache	14–16	0.05	23%	27 Jul →
dust2	3–13	-0.02	22%	27 Jul →
inferno	3–13	0.04	10%	27 Jul →
inferno	13–11	0.00	23%	22 Jul →
dust2	15–15	0.01	17%	22 Jul →
mirage	13–5	0.04	26%	20 Jul →
mirage	13–9	0.07	23%	20 Jul →
mirage	4–13	-0.03	12%	19 Jul →
dust2	8–13	0.06	22%	19 Jul →
mirage	13–7	0.10	19%	18 Jul →
nuke	1–13	0.00	20%	18 Jul →
cache	13–8	0.13	27%	18 Jul →
mirage	1–13	-0.06	19%	18 Jul →
mirage	13–10	0.19	26%	17 Jul →
ancient	2–13	0.03	26%	17 Jul →
inferno	8–13	0.06	23%	17 Jul →
cache	13–9	0.06	38%	17 Jul →
dust2	13–4	0.00	24%	17 Jul →
cache	13–4	0.02	7%	17 Jul →
mirage	6–13	-0.01	28%	11 Jul →
dust2	15–15	0.06	20%	11 Jul →
mirage	4–13	0.03	30%	11 Jul →
inferno	9–13	0.02	21%	10 Jul →
dust2	13–5	0.09	24%	10 Jul →
ancient	13–4	0.02	24%	8 Jul →
dust2	9–13	0.06	19%	8 Jul →
dust2	12–12	-0.07	22%	8 Jul →
cache	13–11	-0.02	20%	7 Jul →
inferno	2–0	-0.12	0%	7 Jul →
anubis	8–13	0.05	26%	7 Jul →
vertigo	4–13	-0.06	10%	7 Jul →
cache	8–13	0.05	32%	7 Jul →
nuke	13–7	0.06	22%	6 Jul →
overpass	6–13	-0.05	22%	6 Jul →
dust2	2–13	-0.06	29%	6 Jul →
inferno	16–12	0.08	18%	6 Jul →
mirage	10–13	0.02	23%	6 Jul →
inferno	13–10	0.08	15%	5 Jul →
dust2	11–13	-0.01	18%	5 Jul →
mirage	13–7	0.06	19%	5 Jul →
dust2	8–13	0.11	26%	4 Jul →
ancient	16–12	0.01	15%	3 Jul →
mirage	13–3	0.06	24%	30 Jun →
dust2	11–13	0.04	13%	30 Jun →
mirage	13–6	0.06	20%	30 Jun →
dust2	3–13	0.00	23%	22 Jun →
anubis	6–13	0.05	33%	14 Jun →
dust2	13–10	0.03	29%	14 Jun →
anubis	11–13	0.03	25%	5 Jun →
dust2	13–2	0.14	17%	5 Jun →
dust2	13–9	0.05	27%	2 Jun →