kuviokelluja — CS2 Stats

FI76561199056091974[U:1:1095826246]Steam profile ↗✓ No bans

900Tracked matches21%Win rate2021Tracked since

2,785Hours in CS10Hrs last 2 wks

CSDB Rating3.3 Learning

Premier CS Rating4,701Grey band · top ~80.1% of ranked players (population est.)

CSDB Leaderboard#45666 of 59357 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=619), 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	Grey band median	Light Blue band median	vs Light Blue band
Headshot rate	37.2%	37.3%	39.9%	2.7% short
Shot accuracy	16.1%	4.4%	6.3%	above
Kill/death ratio	1.00	0.82	0.91	above
Match win rate	35.5%	39.4%	42.1%	6.6% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

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Performance scores

Aim47

Positioning42

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY34–65–1Last 10034%Win rateWLWLLLLWLW

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

Player DNA

Aim4.7

Aggression5.0

Utility5.5

Positioning4.2

Opening Duels1.0

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 NiKo 80% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 648ms 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

Aim4.7

Positioning4.2

Utility5.5

Mechanics3.6

Opening Duels1.0

Win Impact0.0

Composite 3.3/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time655ms−54ms

first ⅓ avg 709ms → last ⅓ avg 655ms

Headshot accuracy14.2%−0.7%

first ⅓ avg 14.9% → last ⅓ avg 14.2%

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 — inferno 13–5

13–3Biggest win — mirage

3Longest win streak

5–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 18% over 28

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	28	5–23	18%	0.01
nuke	A	22	12–10	55%	-0.00
cache	D	18	6–12	33%	0.01
mirage	D	17	4–13	24%	-0.00
ancient	S	6	4–2	67%	0.01
dust2	—	4	2–2	50%	-0.00
anubis	—	2	0–2	0%	0.01
vertigo	—	2	1–1	50%	-0.02
overpass	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,866Lifetime kills

1.00K/D · Top 25% of Grey band

3,966Matches

35.5%Match win rate

37.2%Headshot %

16.1%Shot accuracy · Top 10% of Grey band

7,090MVPs

1,582Hours (in match)

3,003Bombs planted

895Bombs defused

Most-used weapons

M4A4 / M4A1-S21,137

AK-4717,496

Galil AR5,966

P2000 / USP-S4,668

Glock-183,686

AWP2,564

FAMAS2,442

Knife2,075

Desert Eagle2,013

AUG1,536

Lifetime map wins

9,016nuke

6,564inferno

1,486dust2

799vertigo

568train

101lake

87cbble

43italy

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.

14.0%Headshot accuracy

34.0%Accuracy (enemy spotted)

33.0%Spray accuracy

66.3%Counter-strafing

8.8°Preaim

648msReaction time

33.7%T opening success

34.0%CT opening success

0.49Enemies flashed / flash

3.6%Flash assists

10.56HE damage / grenade

8.95Flashes / 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 13.9764% — 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 0.4927 — 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 33.689% — below the 40% mark we flag

Spend your practice time on Inferno

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

18% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

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