Kissavissiin — CS2 Stats

76561199499504446[U:1:1539238718]

3,516Tracked matches43%Win rate2023Tracked since

CSDB Rating5.5 SolidAggressive Rifler

Premier CS Rating17,086Purple band · top ~20.1% of ranked players (population est.)

FaceitLevel 8 · 1,821 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning56

Utility54

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateLLLWLTWLWL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim7.3

Aggression7.4

Utility5.4

Positioning5.6

Opening Duels2.3

Clutch3.2

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 b1t 91% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

T-side openings. Opening success drops from 52% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim7.3

Positioning5.6

Utility5.4

Mechanics5.8

Opening Duels2.8

Win Impact2.6

Composite 5.5/10 (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 time594ms−21ms

first ⅓ avg 615ms → last ⅓ avg 594ms

Headshot accuracy21.6%−1.0%

first ⅓ avg 22.6% → last ⅓ avg 21.6%

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

0.15Best rating — nuke 13–11

13–2Biggest win — mirage

3Longest win streak

L3Current streak

6–3In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 53% over 17infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	12–15	44%	0.01
anubis	C	20	8–12	40%	0.02
nuke	B	17	9–8	53%	0.03
dust2	C	11	4–7	36%	-0.01
inferno	D	10	2–8	20%	0.01
ancient	B	8	4–4	50%	0.02
cache	—	3	2–1	67%	-0.02
vertigo	—	2	0–2	0%	-0.01
overpass	—	1	0–1	0%	0.01
shelter	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,802Matches

50%Win rate

0.97Avg K/D

73.5ADR

49%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	347	48%	0.95	14.0
Anubis	338	56%	1.03	15.0
Ancient	311	48%	0.94	14.3
Nuke	296	56%	1.01	14.5
Inferno	222	45%	0.98	14.4
Train	85	52%	0.90	13.9
Dust2	78	41%	0.86	13.0
Vertigo	77	55%	1.02	15.9

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.

21.1%Headshot accuracy

33.8%Accuracy (enemy spotted)

37.1%Spray accuracy

76.2%Counter-strafing

8.6°Preaim

591msReaction time

26.5%T opening success

52.2%CT opening success

0.49Enemies flashed / flash

14.5%Flash assists

8.67HE damage / grenade

7.44Flashes / 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.

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 0.4937 — 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 26.5028% — 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.

20% win rate across 10 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	11–13	-0.08	7%	27 Aug →
anubis	9–13	-0.03	10%	21 Aug →
mirage	5–13	-0.05	24%	21 Aug →
ancient	13–9	0.01	25%	17 Aug →
anubis	8–13	0.04	20%	17 Aug →
mirage	15–15	-0.03	21%	16 Aug →
ancient	16–14	-0.00	22%	16 Aug →
vertigo	8–13	-0.04	12%	16 Aug →
anubis	19–16	0.01	28%	16 Aug →
ancient	10–13	0.04	17%	16 Aug →
mirage	13–2	0.05	29%	15 Aug →
mirage	13–7	0.07	18%	14 Aug →
anubis	9–13	-0.00	18%	14 Aug →
anubis	6–13	-0.02	8%	14 Aug →
inferno	10–13	0.03	21%	14 Aug →
nuke	8–13	-0.02	31%	14 Aug →
anubis	13–8	0.03	19%	13 Aug →
anubis	7–13	-0.03	31%	10 Aug →
mirage	13–7	-0.05	7%	10 Aug →
anubis	4–13	0.03	18%	10 Aug →
nuke	13–8	0.09	26%	9 Aug →
cache	4–13	-0.05	12%	9 Aug →
mirage	13–6	0.13	28%	9 Aug →
ancient	13–2	0.01	20%	8 Aug →
anubis	10–13	0.03	22%	4 Aug →
mirage	15–15	0.06	30%	3 Aug →
mirage	9–13	-0.02	32%	3 Aug →
anubis	13–3	0.10	36%	3 Aug →
mirage	10–13	-0.00	25%	2 Aug →
inferno	13–6	0.02	14%	2 Aug →
mirage	6–13	-0.01	32%	2 Aug →
nuke	8–13	0.01	39%	2 Aug →
mirage	9–13	0.04	13%	1 Aug →
mirage	13–10	0.00	27%	1 Aug →
dust2	2–10	0.06	19%	1 Aug →
inferno	6–13	-0.05	29%	1 Aug →
vertigo	7–13	0.02	31%	1 Aug →
mirage	9–13	0.01	29%	1 Aug →
dust2	0–13	0.01	27%	31 Jul →
overpass	3–13	0.01	36%	31 Jul →
anubis	13–5	0.10	34%	31 Jul →
dust2	13–10	0.07	33%	29 Jul →
dust2	2–13	-0.07	5%	29 Jul →
dust2	13–10	-0.02	25%	29 Jul →
anubis	7–13	0.03	21%	28 Jul →
dust2	3–13	-0.00	38%	28 Jul →
mirage	8–13	0.11	20%	28 Jul →
inferno	6–13	-0.05	29%	28 Jul →
mirage	8–13	0.11	30%	28 Jul →
shelter	13–7	-0.03	13%	28 Jul →
mirage	13–11	0.07	25%	27 Jul →
nuke	12–12	0.10	41%	27 Jul →
inferno	3–13	-0.01	21%	27 Jul →
ancient	13–10	0.07	19%	27 Jul →
mirage	13–10	0.03	23%	27 Jul →
anubis	6–13	0.02	27%	27 Jul →
anubis	12–12	0.11	32%	26 Jul →
ancient	3–13	0.11	26%	26 Jul →
inferno	4–13	0.04	13%	26 Jul →
dust2	10–13	0.05	29%	26 Jul →
ancient	9–13	-0.02	23%	25 Jul →
cache	13–8	0.02	33%	25 Jul →
mirage	13–8	-0.01	28%	23 Jul →
anubis	13–6	0.02	21%	22 Jul →
nuke	18–22	-0.00	22%	20 Jul →
anubis	13–9	-0.00	25%	19 Jul →
mirage	9–13	-0.02	29%	19 Jul →
nuke	10–2	-0.05	19%	19 Jul →
cache	13–7	-0.03	12%	19 Jul →
anubis	13–16	-0.01	27%	19 Jul →
mirage	5–13	-0.02	13%	19 Jul →
dust2	13–3	-0.08	13%	19 Jul →
nuke	2–13	0.01	35%	19 Jul →
dust2	13–10	0.03	25%	19 Jul →
inferno	8–13	-0.01	15%	18 Jul →
nuke	13–7	0.00	13%	16 Jul →
mirage	12–12	-0.08	25%	15 Jul →
nuke	13–2	0.07	21%	15 Jul →
dust2	11–13	-0.05	20%	14 Jul →
anubis	13–9	0.01	19%	14 Jul →
ancient	4–13	-0.04	16%	14 Jul →
nuke	13–11	0.15	30%	14 Jul →
nuke	1–13	-0.06	19%	14 Jul →
mirage	9–13	0.01	21%	14 Jul →
nuke	13–10	0.04	34%	14 Jul →
mirage	13–4	-0.00	22%	14 Jul →
inferno	9–13	0.07	20%	13 Jul →
nuke	9–13	0.01	25%	13 Jul →
mirage	13–11	0.01	23%	13 Jul →
nuke	13–7	0.08	45%	13 Jul →
anubis	11–13	-0.05	14%	13 Jul →
anubis	13–9	0.02	25%	13 Jul →
mirage	13–6	0.02	22%	5 Jul →
inferno	6–13	0.00	42%	4 Jul →
mirage	13–11	-0.00	19%	4 Jul →
inferno	13–3	0.09	27%	3 Jul →
nuke	13–11	0.02	17%	2 Jul →
nuke	7–13	0.01	23%	29 Jun →
mirage	9–13	-0.08	28%	28 Jun →
nuke	13–10	0.01	16%	28 Jun →