Suparra — CS2 Stats

76561198070102850[U:1:109837122]✓ No bans

581Tracked matches46%Win rate2021Tracked since

487Hours in CS

CSDB Rating5.2 Developing

Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#11363 of 17680 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning55

Utility56

0–100 skill scores via Leetify.

Recent form

COLD45–47–8Last 10045%Win rateLWWWTLLLLL

Last 10 vs previous 10: -20pp win rate · +0.05 avg rating

Player DNA

Aim5.2

Aggression6.8

Utility5.6

Positioning5.5

Opening Duels3.6

Clutch0.0

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 iM 87% 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 56% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms 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

Aim5.2

Positioning5.5

Utility5.6

Mechanics6.6

Opening Duels3.6

Win Impact3.8

Composite 5.2/10 (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-0.00−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time660ms−8ms

first ⅓ avg 668ms → last ⅓ avg 660ms

Headshot accuracy20.6%−0.2%

first ⅓ avg 20.8% → last ⅓ avg 20.6%

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

0.14Best rating — cache 13–6

13–3Biggest win — ancient

5Longest win streak

9–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 64% over 11nukeWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	22	11–11	50%	-0.01
cache	C	20	7–13	35%	0.01
dust2	A	19	11–8	58%	0.02
ancient	A	11	7–4	64%	-0.01
inferno	D	11	3–8	27%	-0.01
nuke	D	10	2–8	20%	-0.02
anubis	A	5	3–2	60%	-0.01
train	—	2	1–1	50%	0.06

Across the last 100 tracked matches.

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

Lifetime stats

27,178Lifetime kills

1.00K/D

1,314Matches

38.5%Match win rate

45.1%Headshot %

11.8%Shot accuracy

3,223MVPs

487Hours (in match)

843Bombs planted

189Bombs defused

Most-used weapons

AK-477,913

AWP4,403

M4A4 / M4A1-S3,386

Desert Eagle1,675

P2000 / USP-S1,155

Glock-18979

Tec-9734

Galil AR620

P90512

Nova502

Lifetime map wins

4,478dust2

1,317inferno

708nuke

346train

123vertigo

54office

12militia

10ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2Matches

0%Win rate

0.64Avg K/D

68.5ADR

28%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	1	0%	0.48	10.0
Inferno	1	0%	0.79	11.0

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.

20.3%Headshot accuracy

34.4%Accuracy (enemy spotted)

28.3%Spray accuracy

79.5%Counter-strafing

11.9°Preaim

664msReaction time

32.6%T opening success

56.0%CT opening success

0.51Enemies flashed / flash

10.1%Flash assists

7.68HE damage / grenade

6.05Flashes / 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 32.6052% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	0.05	33%	10 Aug →
dust2	13–11	0.00	28%	10 Aug →
train	13–10	0.01	27%	8 Aug →
ancient	13–4	0.10	8%	8 Aug →
dust2	12–12	0.07	33%	8 Aug →
cache	8–13	0.05	20%	8 Aug →
mirage	8–13	0.01	15%	7 Aug →
inferno	9–13	-0.04	13%	6 Aug →
inferno	3–13	-0.06	16%	6 Aug →
cache	5–13	-0.07	16%	6 Aug →
anubis	13–6	-0.01	19%	6 Aug →
inferno	10–13	-0.08	9%	5 Aug →
mirage	13–9	0.01	26%	5 Aug →
mirage	13–8	-0.04	23%	3 Aug →
nuke	8–13	-0.04	7%	2 Aug →
nuke	7–13	0.01	19%	2 Aug →
ancient	2–0	-0.10	0%	2 Aug →
inferno	9–13	-0.02	21%	2 Aug →
anubis	13–9	-0.00	22%	31 Jul →
mirage	8–13	-0.08	12%	28 Jul →
nuke	8–13	-0.07	12%	28 Jul →
dust2	13–10	0.05	23%	26 Jul →
ancient	13–8	-0.01	19%	25 Jul →
cache	13–16	-0.01	20%	25 Jul →
mirage	12–16	-0.05	18%	25 Jul →
cache	13–9	0.10	28%	25 Jul →
dust2	15–15	-0.04	19%	25 Jul →
mirage	13–11	-0.03	36%	25 Jul →
dust2	13–9	0.04	21%	25 Jul →
dust2	9–13	0.10	22%	25 Jul →
train	11–13	0.10	23%	25 Jul →
inferno	4–13	-0.03	30%	25 Jul →
dust2	13–10	-0.01	43%	24 Jul →
dust2	16–14	-0.07	18%	24 Jul →
cache	13–6	0.04	33%	24 Jul →
nuke	13–8	-0.08	10%	21 Jul →
ancient	13–11	-0.04	14%	21 Jul →
mirage	4–13	-0.02	23%	21 Jul →
inferno	13–10	0.02	40%	21 Jul →
dust2	13–9	0.02	30%	21 Jul →
dust2	9–13	-0.05	17%	20 Jul →
mirage	13–7	-0.04	21%	20 Jul →
cache	7–13	-0.05	27%	20 Jul →
ancient	7–13	-0.05	16%	20 Jul →
mirage	13–11	-0.01	31%	20 Jul →
mirage	13–9	0.07	25%	20 Jul →
nuke	11–13	0.01	17%	20 Jul →
inferno	5–13	0.02	19%	20 Jul →
dust2	6–13	-0.02	18%	20 Jul →
anubis	6–13	-0.04	10%	19 Jul →
mirage	12–16	-0.02	22%	19 Jul →
cache	13–11	0.04	15%	19 Jul →
cache	13–6	0.14	26%	16 Jul →
mirage	13–8	-0.00	52%	16 Jul →
nuke	3–13	-0.07	21%	16 Jul →
inferno	4–13	-0.01	44%	16 Jul →
cache	3–13	-0.00	24%	15 Jul →
ancient	13–8	0.02	18%	15 Jul →
ancient	14–16	0.02	23%	14 Jul →
mirage	13–6	-0.02	7%	13 Jul →
mirage	13–9	0.03	20%	13 Jul →
cache	10–13	-0.00	11%	12 Jul →
ancient	13–11	-0.05	15%	12 Jul →
mirage	6–13	-0.06	22%	12 Jul →
inferno	13–5	0.01	17%	12 Jul →
ancient	13–3	-0.02	33%	12 Jul →
cache	10–13	-0.04	23%	12 Jul →
nuke	13–5	-0.01	35%	12 Jul →
cache	13–3	0.11	23%	12 Jul →
dust2	13–8	0.03	25%	12 Jul →
mirage	3–8	-0.02	7%	12 Jul →
inferno	13–8	0.02	31%	12 Jul →
dust2	13–4	0.07	28%	12 Jul →
mirage	5–0	0.14	14%	12 Jul →
anubis	13–7	0.10	25%	12 Jul →
ancient	5–13	0.09	15%	12 Jul →
cache	12–12	0.07	37%	12 Jul →
inferno	10–13	0.04	22%	12 Jul →
nuke	12–12	0.06	16%	12 Jul →
dust2	13–8	0.11	29%	12 Jul →
nuke	14–16	-0.01	19%	11 Jul →
cache	14–16	0.04	11%	11 Jul →
mirage	15–15	-0.01	20%	11 Jul →
cache	13–9	-0.03	20%	11 Jul →
cache	7–13	-0.09	14%	11 Jul →
cache	9–13	-0.04	14%	11 Jul →
anubis	9–13	-0.09	10%	11 Jul →
ancient	12–12	-0.02	13%	11 Jul →
dust2	5–5	0.08	13%	11 Jul →
dust2	8–13	-0.04	22%	11 Jul →
dust2	13–5	-0.03	18%	11 Jul →
mirage	13–9	-0.00	18%	11 Jul →
cache	13–11	0.08	23%	9 Jul →
dust2	12–12	0.04	22%	9 Jul →
cache	11–13	0.03	37%	9 Jul →
dust2	13–7	-0.02	17%	8 Jul →
nuke	2–13	-0.04	27%	8 Jul →
cache	7–13	-0.08	16%	6 Jul →
mirage	1–13	-0.03	23%	5 Jul →
mirage	12–12	-0.03	24%	5 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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