kuisti — CS2 Stats

76561198871079857[U:1:910814129]✓ No bans

1,074Tracked matches73%Win rate2022Tracked since

CSDB Rating7.0 StrongAggressive Rifler

FaceitLevel 10 · 2,084 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim89

Positioning60

Utility57

0–100 skill scores via Leetify.

Recent form

HOT61–38–1Last 10061%Win rateWWWWLWWLWW

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

Player DNA

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

Aim8.9

Aggression8.3

Utility5.7

Positioning6.0

Opening Duels3.3

Clutch3.2

Sharp aimerStrong 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 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 57% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9

Positioning6.0

Utility5.7

Mechanics6.3

Opening Duels3.4

Win Impact10.0

Composite 7.0/10 (Strong), 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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time511ms−72ms

first ⅓ avg 582ms → last ⅓ avg 511ms

Headshot accuracy23.2%−0.0%

first ⅓ avg 23.3% → last ⅓ avg 23.2%

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 — train 13–4

13–2Biggest win — mirage

6Longest win streak

W4Current streak

10–9In matches decided by ≤2 rounds

20Overtime games

Map breakdown

trainBest map · 86% over 7overpassWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	11–10	52%	0.01
ancient	S	17	13–4	76%	0.01
dust2	B	14	7–7	50%	-0.00
nuke	S	12	9–3	75%	0.01
inferno	A	11	6–5	55%	-0.00
anubis	A	8	5–3	63%	0.00
train	S	7	6–1	86%	0.02
overpass	D	6	2–4	33%	0.00
cache	—	3	2–1	67%	-0.01
agency	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,213Matches

51%Win rate

1.07Avg K/D

79.8ADR

54%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	276	50%	1.05	15.2
Ancient	247	49%	1.02	15.6
Anubis	170	52%	1.10	15.9
Nuke	141	57%	1.11	16.3
Dust2	123	41%	0.95	14.7
Inferno	91	47%	1.05	15.4
Train	72	60%	1.25	16.3
Vertigo	46	57%	1.12	17.5

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.

22.6%Headshot accuracy

38.9%Accuracy (enemy spotted)

42.6%Spray accuracy

78.2%Counter-strafing

8.2°Preaim

516msReaction time

28.8%T opening success

57.4%CT opening success

0.61Enemies flashed / flash

9.3%Flash assists

5.82HE damage / grenade

8.85Flashes / 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 28.7657% — below the 40% mark we flag

Spend your practice time on Overpass

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	-0.07	25%	19 Aug →
ancient	13–11	-0.04	12%	19 Aug →
cache	16–12	0.02	14%	18 Aug →
nuke	13–8	0.03	13%	18 Aug →
dust2	11–13	-0.05	14%	18 Aug →
nuke	13–8	0.01	37%	16 Aug →
ancient	13–5	0.05	26%	15 Aug →
mirage	10–13	0.05	25%	15 Aug →
inferno	13–10	0.02	28%	15 Aug →
anubis	13–6	0.03	22%	15 Aug →
nuke	13–10	0.01	19%	15 Aug →
nuke	8–13	-0.05	28%	15 Aug →
ancient	13–6	-0.01	18%	14 Aug →
nuke	13–5	0.01	21%	14 Aug →
anubis	13–7	0.01	18%	14 Aug →
ancient	19–22	-0.02	21%	14 Aug →
dust2	19–15	0.05	22%	13 Aug →
mirage	13–9	0.08	25%	13 Aug →
ancient	13–7	0.04	22%	7 Aug →
mirage	3–13	-0.03	29%	7 Aug →
nuke	13–6	0.01	26%	6 Aug →
mirage	13–5	0.04	36%	5 Aug →
ancient	16–14	0.01	23%	5 Aug →
ancient	13–4	0.06	20%	5 Aug →
anubis	5–13	0.06	45%	4 Aug →
anubis	13–3	0.00	25%	3 Aug →
anubis	16–13	0.02	25%	2 Aug →
ancient	7–13	0.01	14%	1 Aug →
mirage	4–13	0.02	15%	1 Aug →
cache	13–8	-0.00	21%	31 Jul →
anubis	7–13	-0.07	22%	31 Jul →
mirage	25–22	0.06	19%	29 Jul →
mirage	14–16	0.01	37%	29 Jul →
anubis	13–9	0.02	27%	28 Jul →
dust2	5–13	-0.03	25%	28 Jul →
mirage	13–9	0.01	26%	28 Jul →
cache	14–16	-0.04	28%	27 Jul →
dust2	14–16	0.05	24%	27 Jul →
ancient	13–6	-0.01	25%	27 Jul →
dust2	10–13	-0.02	25%	25 Jul →
dust2	13–11	-0.01	26%	21 Jul →
anubis	11–13	-0.06	8%	16 Jul →
ancient	13–10	0.06	31%	16 Apr →
mirage	13–5	0.06	18%	16 Jan →
inferno	13–9	-0.01	17%	30 Dec →
overpass	8–13	-0.07	18%	30 Dec →
mirage	13–16	0.00	14%	29 Dec →
mirage	2–13	-0.10	0%	29 Dec →
dust2	13–6	0.05	20%	29 Dec →
overpass	12–12	0.03	27%	25 Dec →
inferno	16–13	-0.00	23%	25 Dec →
dust2	16–14	-0.04	21%	24 Dec →
nuke	13–11	-0.00	15%	18 Dec →
train	13–9	0.01	28%	18 Dec →
nuke	19–15	0.04	11%	17 Dec →
mirage	13–8	0.08	29%	15 Dec →
mirage	8–13	-0.02	10%	15 Dec →
dust2	13–16	-0.05	10%	13 Dec →
overpass	14–16	-0.00	17%	13 Dec →
inferno	6–13	-0.03	22%	12 Dec →
overpass	13–10	0.05	13%	12 Dec →
ancient	8–13	-0.04	23%	12 Dec →
dust2	16–12	-0.03	20%	12 Dec →
mirage	3–13	-0.07	15%	12 Dec →
train	13–4	0.15	17%	12 Dec →
nuke	11–13	-0.03	24%	12 Dec →
train	13–7	0.00	22%	12 Dec →
ancient	13–6	0.07	18%	12 Dec →
ancient	13–11	0.02	16%	12 Dec →
inferno	8–13	-0.04	18%	9 Dec →
train	4–13	-0.08	19%	7 Dec →
ancient	16–12	-0.00	32%	7 Dec →
train	13–8	-0.00	24%	5 Dec →
dust2	6–13	0.03	38%	4 Dec →
mirage	5–13	-0.02	23%	4 Dec →
mirage	13–5	-0.05	9%	2 Dec →
mirage	13–7	0.02	20%	28 Nov →
dust2	8–13	-0.01	28%	25 Nov →
nuke	11–13	-0.04	22%	24 Nov →
ancient	13–9	-0.01	28%	21 Nov →
mirage	19–17	0.03	15%	21 Nov →
inferno	11–13	0.07	24%	21 Nov →
ancient	10–13	-0.00	23%	21 Nov →
mirage	3–13	-0.12	13%	18 Nov →
inferno	2–13	0.05	20%	16 Nov →
train	13–6	0.03	55%	14 Nov →
ancient	13–9	0.02	13%	14 Nov →
inferno	13–9	-0.06	18%	14 Nov →
train	13–11	0.05	32%	14 Nov →
mirage	13–2	0.06	24%	14 Nov →
overpass	10–13	-0.03	23%	13 Nov →
nuke	5–1	0.07	32%	13 Nov →
dust2	16–14	-0.00	21%	13 Nov →
inferno	12–16	-0.04	11%	13 Nov →
dust2	13–11	-0.00	23%	13 Nov →
inferno	13–4	0.09	33%	12 Nov →
nuke	13–10	0.04	25%	12 Nov →
agency	9–13	0.01	15%	9 Nov →
mirage	13–3	0.10	35%	9 Nov →
overpass	13–9	0.02	19%	9 Nov →