REISKA57 — CS2 Stats

76561198009998938[U:1:49733210]Steam profile ↗✓ No bans

1,806Tracked matches47%Win rate2020Tracked since

CSDB Rating4.6 Developing

Premier CS Rating18,824Purple band · top ~13.2% of ranked players (population est.)

CSDB Leaderboard#13962 of 29476 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim59

Positioning39

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWWLWWLLWLL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Aim5.9

Aggression3.9

Utility4.3

Positioning3.9

Opening Duels0.8

Clutch3.8

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 81% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

T-side openings. Opening success drops from 48% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms 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

Aim5.9

Positioning3.9

Utility4.3

Mechanics5.2

Opening Duels2.2

Win Impact3.9

Composite 4.6/10 (Developing), 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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time629ms+18ms

first ⅓ avg 611ms → last ⅓ avg 629ms

Headshot accuracy18.0%−3.3%

first ⅓ avg 21.2% → last ⅓ avg 18.0%

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 — anubis 13–4

13–1Biggest win — nuke

3Longest win streak

W2Current streak

7–14In matches decided by ≤2 rounds

5Overtime games

Map breakdown

infernoBest map · 67% over 6dust2Weakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	17	8–9	47%	0.00
nuke	A	16	10–6	63%	0.00
cache	C	15	6–9	40%	-0.00
dust2	D	14	3–11	21%	-0.05
anubis	A	12	7–5	58%	0.00
mirage	D	7	2–5	29%	-0.02
inferno	S	6	4–2	67%	-0.03
fachwerk	A	5	3–2	60%	0.03
boulder	—	3	1–2	33%	0.03
shelter	—	2	0–2	0%	-0.04
overpass	—	2	1–1	50%	0.02
train	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

408Matches

52%Win rate

0.94Avg K/D

77.9ADR

37%Headshot %

Clutches & streaks

39%1v1 clutch win

16%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	25	60%	1.19	16.9
Anubis	25	52%	0.96	15.7
Ancient	23	57%	1.06	15.6
Dust2	14	36%	0.85	15.1
Vertigo	8	50%	1.14	17.1
Train	6	50%	1.34	17.5
Inferno	6	0%	0.78	13.0
Mirage	2	50%	0.94	16.5

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.

17.9%Headshot accuracy

34.6%Accuracy (enemy spotted)

40.6%Spray accuracy

73.3%Counter-strafing

11.2°Preaim

634msReaction time

18.8%T opening success

47.8%CT opening success

0.51Enemies flashed / flash

3.9%Flash assists

7.09HE damage / grenade

4.93Flashes / 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 18.8427% — below the 40% mark we flag

Spend your practice time on Dust 2

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	6–2	0.12	27%	26 Aug →
cache	13–10	-0.01	15%	26 Aug →
dust2	5–13	-0.03	13%	21 Aug →
nuke	13–1	0.10	23%	21 Aug →
cache	13–9	-0.10	17%	21 Aug →
ancient	2–10	-0.07	8%	21 Aug →
nuke	6–13	0.02	19%	19 Aug →
anubis	16–14	0.01	22%	19 Aug →
ancient	13–16	-0.02	22%	19 Aug →
nuke	2–13	-0.03	23%	19 Aug →
dust2	1–13	-0.09	25%	19 Aug →
cache	9–13	-0.03	11%	15 Aug →
dust2	13–11	-0.06	9%	15 Aug →
cache	9–13	-0.02	18%	15 Aug →
ancient	13–4	0.01	25%	15 Aug →
mirage	13–10	-0.04	27%	15 Aug →
cache	6–13	-0.06	17%	15 Aug →
anubis	13–11	0.02	11%	15 Aug →
nuke	13–9	-0.04	13%	15 Aug →
ancient	3–13	-0.07	29%	15 Aug →
fachwerk	11–13	0.05	16%	13 Aug →
fachwerk	6–13	0.02	13%	12 Aug →
train	9–13	0.00	23%	12 Aug →
cache	4–13	0.01	37%	8 Aug →
inferno	13–3	-0.02	11%	7 Aug →
cache	10–13	-0.02	10%	7 Aug →
dust2	13–11	-0.03	13%	7 Aug →
ancient	13–5	0.02	18%	7 Aug →
anubis	11–13	0.02	16%	7 Aug →
nuke	13–8	-0.01	19%	7 Aug →
dust2	15–15	-0.05	18%	5 Aug →
nuke	13–2	-0.02	11%	5 Aug →
anubis	11–13	-0.04	16%	5 Aug →
inferno	9–13	-0.04	8%	4 Aug →
nuke	13–4	0.00	23%	4 Aug →
ancient	13–4	0.02	24%	4 Aug →
anubis	13–10	-0.01	34%	4 Aug →
dust2	7–13	-0.04	17%	4 Aug →
ancient	13–3	0.13	27%	4 Aug →
inferno	13–7	0.02	30%	2 Aug →
anubis	13–5	-0.00	11%	2 Aug →
nuke	11–13	-0.00	30%	2 Aug →
dust2	6–13	-0.09	9%	2 Aug →
cache	13–11	0.01	30%	2 Aug →
dust2	14–16	-0.05	19%	31 Jul →
mirage	7–13	-0.02	8%	31 Jul →
ancient	13–8	-0.02	17%	31 Jul →
anubis	3–13	-0.08	8%	31 Jul →
cache	4–13	-0.03	19%	31 Jul →
ancient	9–13	-0.04	32%	29 Jul →
nuke	13–8	-0.04	22%	29 Jul →
dust2	13–9	0.01	19%	26 Jul →
shelter	12–12	-0.06	22%	23 Jul →
fachwerk	13–4	0.06	18%	23 Jul →
boulder	7–1	0.03	17%	23 Jul →
mirage	13–3	0.00	33%	22 Jul →
ancient	11–13	-0.03	17%	19 Jul →
mirage	8–13	-0.04	17%	18 Jul →
anubis	11–13	-0.02	14%	18 Jul →
inferno	13–10	-0.04	16%	16 Jul →
nuke	13–6	0.06	23%	16 Jul →
cache	13–5	0.01	25%	16 Jul →
ancient	0–13	-0.04	100%	16 Jul →
anubis	13–2	0.05	28%	16 Jul →
boulder	11–13	0.03	21%	15 Jul →
cache	5–13	-0.01	17%	15 Jul →
ancient	13–4	0.12	24%	15 Jul →
dust2	4–13	-0.07	22%	15 Jul →
cache	11–13	0.01	19%	14 Jul →
ancient	13–2	0.00	14%	14 Jul →
nuke	13–9	-0.03	20%	14 Jul →
boulder	9–13	0.02	23%	14 Jul →
fachwerk	13–6	0.05	18%	13 Jul →
fachwerk	13–11	-0.03	17%	12 Jul →
shelter	5–13	-0.02	26%	12 Jul →
anubis	13–4	0.13	19%	10 Jul →
nuke	11–13	0.01	17%	10 Jul →
dust2	10–13	-0.03	20%	10 Jul →
mirage	3–13	-0.04	57%	10 Jul →
ancient	8–13	-0.00	13%	10 Jul →
cache	15–15	-0.01	9%	10 Jul →
mirage	9–13	-0.00	23%	5 Jul →
dust2	11–13	-0.03	30%	5 Jul →
inferno	13–10	-0.03	13%	5 Jul →
nuke	8–13	-0.01	10%	5 Jul →
overpass	10–13	0.02	20%	5 Jul →
anubis	11–13	-0.00	34%	5 Jul →
ancient	13–10	0.07	19%	5 Jul →
ancient	10–13	-0.01	14%	3 Jul →
nuke	13–5	0.04	21%	3 Jul →
mirage	11–13	0.00	21%	3 Jul →
anubis	13–11	-0.01	19%	3 Jul →
dust2	6–13	-0.09	32%	3 Jul →
inferno	8–13	-0.08	18%	3 Jul →
dust2	7–13	-0.03	28%	1 Jul →
ancient	10–13	-0.05	14%	1 Jul →
nuke	13–9	0.01	23%	1 Jul →
overpass	13–9	0.02	30%	1 Jul →
cache	13–4	0.08	22%	1 Jul →
nuke	11–13	-0.01	16%	26 Jun →