✪ SPONGI — CS2 Stats

CO76561199384707508[U:1:1424441780]Steam profile ↗✓ No bans

2,414Tracked matches53%Win rate2022Tracked since

2,937Hours in CS28Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

Premier CS Rating23,887Top 50% of 819 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)

CSDB Leaderboard#2828 of 12567 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median	vs Level 10
Headshot rate	47.6%	52.8%	5.1% short
Shot accuracy	5.5%	13.7%	8.2% short
Kill/death ratio	1.40	1.08	above
Match win rate	48.3%	49.2%	meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim75

Positioning34

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLWLWLWLLWW

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

Player DNA

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

Aim7.5

Aggression4.5

Utility4.5

Positioning3.4

Opening Duels0.8

Clutch4.0

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 NiKo 84% playstyle similarity

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

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

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

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

Aim7.5

Positioning3.4

Utility4.5

Mechanics6.3

Opening Duels0.8

Win Impact6.1

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time583ms−19ms

first ⅓ avg 601ms → last ⅓ avg 583ms

Headshot accuracy20.6%+4.1%

first ⅓ avg 16.5% → 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

0.13Best rating — dust2 13–0

13–0Biggest win — dust2

6Longest win streak

8–6In matches decided by ≤2 rounds

15Overtime games

Map breakdown

ancientBest map · 63% over 8infernoWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	14–13	52%	-0.01
dust2	B	18	9–9	50%	-0.02
cache	A	18	10–8	56%	-0.03
inferno	C	15	6–9	40%	-0.01
anubis	A	11	6–5	55%	-0.02
ancient	A	8	5–3	63%	-0.00
train	—	2	0–2	0%	-0.05
nuke	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,459Lifetime kills

1.40K/D · Top 25% of Pink band

2,863Matches

48.3%Match win rate · Top 50% of Pink band

47.6%Headshot %

5.5%Shot accuracy

5,732MVPs

1,242Hours (in match)

3,722Bombs planted

767Bombs defused

Most-used weapons

AK-4715,824

M4A4 / M4A1-S14,841

AWP5,219

Desert Eagle4,894

P2504,829

MAC-103,205

P2000 / USP-S2,640

UMP-452,552

Glock-182,540

Galil AR1,708

Lifetime map wins

6,103inferno

4,601dust2

1,881nuke

584train

275vertigo

127office

66cbble

63italy

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

Faceit stats

Combat

849Matches

51%Win rate

1.05Avg K/D

73.6ADR

40%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	274	52%	1.09	15.0
Inferno	127	55%	1.07	14.8
Dust2	117	48%	1.00	14.4
Ancient	91	48%	1.00	14.8
Nuke	50	44%	0.89	13.8
Anubis	46	50%	1.05	14.7
Train	16	31%	0.96	15.1
Cache	12	58%	1.33	14.4

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.

20.2%Headshot accuracy

34.9%Accuracy (enemy spotted)

42.1%Spray accuracy

78.5%Counter-strafing

9.5°Preaim

591msReaction time

30.9%T opening success

35.8%CT opening success

0.53Enemies flashed / flash

3.8%Flash assists

5.80HE damage / grenade

5.76Flashes / 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 30.8837% — 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.

40% win rate across 15 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
mirage	15–19	-0.03	29%	26 Aug →
inferno	13–11	0.02	17%	23 Aug →
anubis	2–5	-0.00	25%	23 Aug →
mirage	13–11	-0.06	24%	23 Aug →
dust2	12–16	-0.06	9%	22 Aug →
anubis	13–8	-0.01	19%	21 Aug →
cache	9–13	0.00	33%	21 Aug →
anubis	7–13	0.03	16%	21 Aug →
mirage	16–13	0.04	24%	21 Aug →
anubis	13–10	0.05	22%	20 Aug →
mirage	13–7	-0.07	32%	20 Aug →
inferno	16–14	-0.03	12%	19 Aug →
dust2	10–3	0.05	20%	19 Aug →
mirage	8–0	-0.06	40%	19 Aug →
cache	3–13	-0.08	28%	19 Aug →
train	9–13	-0.08	32%	16 Aug →
train	2–13	-0.02	28%	16 Aug →
dust2	3–13	-0.04	22%	12 Aug →
mirage	8–13	-0.04	15%	10 Aug →
anubis	13–11	-0.06	13%	7 Aug →
ancient	13–4	0.03	12%	7 Aug →
dust2	6–13	-0.04	15%	7 Aug →
nuke	13–8	0.02	13%	5 Aug →
dust2	13–10	-0.03	17%	31 Jul →
mirage	16–14	0.01	14%	28 Jul →
dust2	13–11	-0.03	18%	28 Jul →
inferno	11–13	-0.03	15%	28 Jul →
anubis	13–4	0.00	18%	26 Jul →
inferno	9–13	-0.00	24%	26 Jul →
inferno	13–16	-0.04	23%	26 Jul →
ancient	13–6	0.06	19%	25 Jul →
inferno	4–13	-0.06	10%	25 Jul →
mirage	13–9	0.03	22%	25 Jul →
mirage	5–13	-0.01	15%	25 Jul →
inferno	11–13	0.07	21%	25 Jul →
mirage	16–13	-0.01	20%	25 Jul →
mirage	13–9	0.00	20%	25 Jul →
anubis	10–13	-0.07	25%	25 Jul →
mirage	8–13	-0.02	17%	25 Jul →
cache	13–9	-0.03	15%	24 Jul →
mirage	10–13	0.03	13%	24 Jul →
inferno	13–6	-0.01	19%	24 Jul →
mirage	13–5	0.06	21%	23 Jul →
cache	8–13	-0.04	16%	23 Jul →
cache	13–5	0.01	27%	23 Jul →
inferno	3–13	0.00	20%	23 Jul →
ancient	12–16	-0.07	11%	23 Jul →
mirage	6–13	-0.00	22%	23 Jul →
dust2	8–13	0.01	18%	22 Jul →
anubis	11–13	-0.02	22%	21 Jul →
dust2	16–13	-0.03	13%	21 Jul →
cache	13–7	0.08	24%	21 Jul →
mirage	13–2	0.06	16%	21 Jul →
anubis	11–13	-0.03	19%	21 Jul →
inferno	2–13	-0.04	25%	21 Jul →
mirage	11–13	-0.04	24%	21 Jul →
dust2	16–12	0.01	12%	21 Jul →
ancient	13–5	-0.05	11%	21 Jul →
inferno	10–13	-0.03	19%	21 Jul →
mirage	10–13	-0.04	23%	20 Jul →
dust2	3–13	-0.08	33%	20 Jul →
dust2	14–16	0.02	15%	20 Jul →
inferno	9–13	-0.03	15%	20 Jul →
dust2	9–13	0.00	17%	20 Jul →
mirage	16–13	0.04	11%	20 Jul →
cache	13–9	-0.04	15%	19 Jul →
mirage	13–10	-0.03	18%	19 Jul →
cache	13–6	-0.04	13%	19 Jul →
anubis	16–13	-0.06	15%	19 Jul →
ancient	2–13	-0.03	17%	19 Jul →
mirage	1–13	-0.04	27%	19 Jul →
dust2	13–11	-0.07	15%	17 Jul →
cache	13–8	0.05	12%	17 Jul →
mirage	13–9	-0.02	22%	17 Jul →
cache	13–6	-0.03	19%	17 Jul →
inferno	13–4	0.09	19%	17 Jul →
mirage	7–13	-0.01	12%	17 Jul →
mirage	7–13	0.01	12%	16 Jul →
dust2	13–0	0.13	43%	16 Jul →
ancient	4–13	0.02	26%	16 Jul →
inferno	13–3	-0.03	12%	16 Jul →
dust2	9–13	-0.01	11%	15 Jul →
inferno	13–4	0.02	16%	15 Jul →
cache	2–13	-0.08	8%	14 Jul →
cache	7–13	-0.04	17%	14 Jul →
cache	10–13	-0.01	9%	13 Jul →
ancient	13–9	0.04	18%	13 Jul →
cache	7–13	-0.05	18%	13 Jul →
cache	13–6	-0.04	21%	13 Jul →
anubis	13–8	-0.00	11%	12 Jul →
mirage	6–13	0.00	14%	12 Jul →
dust2	13–9	-0.05	25%	11 Jul →
mirage	7–13	-0.02	16%	11 Jul →
cache	13–8	-0.06	7%	11 Jul →
cache	13–9	-0.03	18%	10 Jul →
ancient	16–12	-0.01	24%	10 Jul →
cache	10–13	-0.07	14%	10 Jul →
dust2	13–16	-0.05	11%	10 Jul →
mirage	13–2	-0.01	7%	9 Jul →
dust2	13–11	-0.02	19%	9 Jul →