KELVINSKI — CS2 Stats

US76561198132935126[U:1:172669398]Steam profile ↗✓ No bans

475Tracked matches57%Win rate2020Tracked since

869Hours in CS5Hrs last 2 wks

CSDB Rating6.5 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim66

Positioning69

Utility66

0–100 skill scores via Leetify.

Recent form

HOT44–52–4Last 10044%Win rateWWWWWWWWLL

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

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

Aim6.6

Aggression10.0

Utility6.6

Positioning6.9

Opening Duels5.2

Strong CT-side opener

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 sh1ro 90% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim6.6

Positioning6.9

Utility6.6

Mechanics6.2

Opening Duels5.2

Win Impact7.4

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time570ms−38ms

first ⅓ avg 608ms → last ⅓ avg 570ms

Headshot accuracy19.6%−0.8%

first ⅓ avg 20.3% → last ⅓ avg 19.6%

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.

Highlights

0.13Best rating — dust2 11–13

13–1Biggest win — dust2

8Longest win streak

W8Current streak

10–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 65% over 34infernoWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	34	22–12	65%	0.01
mirage	D	31	10–21	32%	0.00
inferno	D	13	2–11	15%	0.01
ancient	B	11	5–6	45%	0.01
cache	C	5	2–3	40%	0.03
overpass	—	2	0–2	0%	-0.05
nuke	—	2	2–0	100%	-0.02
boulder	—	1	0–1	0%	0.04
anubis	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

23,463Lifetime kills

1.04K/D

1,104Matches

44.8%Match win rate

40.9%Headshot %

11.9%Shot accuracy

2,705MVPs

773Hours (in match)

1,049Bombs planted

260Bombs defused

Most-used weapons

AK-476,773

M4A4 / M4A1-S4,085

AWP3,892

P2000 / USP-S1,449

Glock-18907

Desert Eagle734

Galil AR599

MP7401

P90399

Dual Berettas369

Lifetime map wins

5,691dust2

814inferno

133nuke

54train

34vertigo

30cbble

10lake

3bank

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.

19.6%Headshot accuracy

31.2%Accuracy (enemy spotted)

29.7%Spray accuracy

78.0%Counter-strafing

8.4°Preaim

569msReaction time

36.4%T opening success

65.3%CT opening success

0.67Enemies flashed / flash

9.0%Flash assists

9.54HE damage / grenade

13.80Flashes / 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 36.4436% — 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.

15% win rate across 13 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	13–10	-0.01	24%	28 Aug →
ancient	13–10	0.07	11%	28 Aug →
dust2	13–10	-0.06	13%	27 Aug →
dust2	16–14	-0.01	13%	27 Aug →
mirage	13–5	-0.03	11%	26 Aug →
dust2	13–7	0.04	20%	26 Aug →
cache	13–9	-0.05	12%	21 Aug →
inferno	13–11	0.05	17%	6 Aug →
cache	10–13	0.06	19%	31 Jul →
cache	9–13	0.00	23%	11 Jul →
boulder	12–12	0.04	36%	11 Jul →
cache	12–12	0.07	21%	10 Jul →
cache	13–11	0.04	15%	12 Jun →
mirage	3–13	-0.02	33%	16 Apr →
dust2	13–11	0.02	33%	9 Apr →
dust2	10–13	-0.06	33%	9 Apr →
inferno	8–13	-0.03	11%	8 Apr →
dust2	11–13	0.13	20%	6 Apr →
mirage	13–4	0.03	13%	1 Apr →
mirage	13–4	-0.01	25%	31 Mar →
ancient	10–13	-0.04	15%	23 Mar →
inferno	14–16	0.04	22%	18 Mar →
mirage	13–6	0.06	23%	17 Mar →
dust2	10–13	-0.04	18%	17 Mar →
inferno	2–13	-0.01	12%	4 Mar →
ancient	9–13	-0.06	17%	4 Mar →
dust2	13–10	-0.00	29%	4 Mar →
inferno	13–16	-0.03	15%	4 Mar →
dust2	13–5	-0.00	26%	3 Mar →
dust2	16–12	0.01	13%	3 Mar →
mirage	7–13	0.05	24%	2 Mar →
ancient	13–5	0.12	18%	1 Mar →
mirage	8–13	0.01	11%	1 Mar →
dust2	9–13	-0.01	19%	27 Feb →
mirage	3–13	-0.04	10%	27 Feb →
mirage	7–13	-0.05	15%	26 Feb →
mirage	15–15	0.03	19%	26 Feb →
mirage	11–13	0.01	20%	25 Feb →
mirage	9–13	-0.01	28%	25 Feb →
dust2	13–5	0.12	26%	25 Feb →
dust2	13–11	0.07	25%	24 Feb →
ancient	9–13	-0.05	22%	24 Feb →
mirage	10–13	0.13	16%	24 Feb →
dust2	13–5	-0.02	13%	24 Feb →
inferno	13–10	0.02	10%	23 Feb →
dust2	13–5	0.07	25%	23 Feb →
mirage	10–13	-0.02	16%	23 Feb →
dust2	15–15	0.03	15%	23 Feb →
mirage	5–13	-0.02	13%	23 Feb →
mirage	6–13	-0.08	23%	22 Feb →
inferno	8–13	0.05	32%	22 Feb →
overpass	3–13	-0.03	17%	22 Feb →
dust2	13–7	0.02	12%	22 Feb →
dust2	11–13	0.01	20%	22 Feb →
ancient	4–13	0.02	21%	22 Feb →
inferno	9–13	0.04	28%	21 Feb →
mirage	13–8	0.06	27%	21 Feb →
ancient	10–13	-0.03	24%	21 Feb →
inferno	11–13	0.08	27%	20 Feb →
mirage	10–13	0.03	25%	20 Feb →
mirage	11–13	0.05	19%	20 Feb →
overpass	5–13	-0.08	12%	20 Feb →
inferno	8–13	-0.05	18%	19 Feb →
mirage	7–13	-0.00	17%	19 Feb →
dust2	11–13	-0.02	15%	19 Feb →
ancient	13–5	-0.01	10%	19 Feb →
ancient	13–11	0.01	19%	19 Feb →
mirage	9–13	-0.02	22%	19 Feb →
ancient	13–5	0.04	24%	19 Feb →
mirage	13–9	0.07	24%	17 Feb →
dust2	13–7	0.01	18%	16 Feb →
dust2	13–16	-0.01	19%	16 Feb →
nuke	13–11	-0.02	6%	16 Feb →
mirage	13–9	-0.04	9%	16 Feb →
nuke	13–5	-0.02	33%	16 Feb →
dust2	13–11	-0.03	15%	16 Feb →
inferno	8–13	-0.01	3%	15 Feb →
mirage	7–13	-0.00	22%	15 Feb →
dust2	13–10	0.05	30%	15 Feb →
mirage	13–10	0.01	22%	15 Feb →
mirage	13–11	-0.02	16%	15 Feb →
dust2	13–3	-0.01	26%	14 Feb →
ancient	10–13	0.04	23%	14 Feb →
mirage	13–7	0.05	25%	14 Feb →
dust2	8–13	0.02	29%	14 Feb →
mirage	5–13	-0.04	17%	14 Feb →
dust2	10–13	-0.03	18%	13 Feb →
dust2	13–10	-0.04	26%	13 Feb →
mirage	10–13	0.06	16%	12 Feb →
mirage	11–13	-0.03	21%	12 Feb →
inferno	7–13	-0.04	11%	11 Feb →
dust2	6–13	-0.01	18%	11 Feb →
dust2	13–1	0.07	36%	11 Feb →
dust2	13–11	0.04	26%	11 Feb →
dust2	13–9	0.01	13%	11 Feb →
dust2	8–13	-0.02	18%	11 Feb →
dust2	9–0	0.07	9%	10 Feb →
inferno	11–13	-0.01	13%	10 Feb →
anubis	3–0	0.03	50%	10 Feb →
mirage	4–13	-0.05	17%	10 Feb →