Gongas88 — CS2 Stats

PT76561198297027757[U:1:336762029]Steam profile ↗✓ No bans

3,693Tracked matches52%Win rate2020Tracked since

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating7,586Light Blue band · top ~66.4% of ranked players (population est.)

CSDB Leaderboard#40090 of 53705 tracked

FaceitLevel 5 · 469 ELOTop 67.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning66

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLLLWLWLWLW

Last 10 vs previous 10: -20pp win rate · +0.09 avg rating

Player DNA

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

Aim8.0

Aggression9.5

Utility3.9

Positioning6.6

Opening Duels4.3

Clutch3.8

Limited utility dependence

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 sh1ro 91% playstyle similarity

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

Where you differ: lower aim profile; lower 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

Areas to improve

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

Reaction time. 558ms 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

Aim8.0

Positioning6.6

Utility3.9

Mechanics7.1

Opening Duels4.3

Win Impact5.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.06+0.03

first ⅓ avg 0.03 → last ⅓ avg 0.06

Reaction time559ms−77ms

first ⅓ avg 636ms → last ⅓ avg 559ms

Headshot accuracy14.4%−0.7%

first ⅓ avg 15.1% → last ⅓ avg 14.4%

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

0.34Best rating — vertigo 9–1

13–0Biggest win — ancient

6Longest win streak

L3Current streak

3–9In matches decided by ≤2 rounds

11Overtime games

Map breakdown

mirageBest map · 69% over 32anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	32	22–10	69%	0.04
dust2	C	30	11–19	37%	0.03
ancient	C	15	6–9	40%	0.04
anubis	D	9	2–7	22%	0.00
cache	C	8	3–5	38%	0.04
vertigo	—	4	4–0	100%	0.17
inferno	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

208Matches

43%Win rate

1.00Avg K/D

92.3ADR

39%Headshot %

Clutches & streaks

39%1v1 clutch win

31%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	66	48%	1.31	19.3
Dust2	37	59%	1.15	17.7
Ancient	19	37%	1.19	18.5
Inferno	11	36%	0.72	13.6
Anubis	8	62%	0.98	16.3
Nuke	6	33%	0.53	9.5
Cache	2	50%	1.58	23.5
Train	2	50%	0.86	14.5

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.

13.6%Headshot accuracy

39.8%Accuracy (enemy spotted)

39.7%Spray accuracy

82.2%Counter-strafing

8.7°Preaim

558msReaction time

41.5%T opening success

52.5%CT opening success

0.61Enemies flashed / flash

7.5%Flash assists

8.97HE damage / grenade

3.73Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.6019% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7263 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	0.03	13%	30 Aug →
mirage	5–13	0.03	8%	30 Aug →
dust2	9–13	0.08	24%	28 Aug →
dust2	16–12	-0.02	15%	28 Aug →
dust2	9–13	0.08	20%	28 Aug →
vertigo	9–1	0.34	31%	28 Aug →
ancient	9–13	-0.03	11%	28 Aug →
cache	13–2	0.21	21%	28 Aug →
cache	8–13	0.07	13%	27 Aug →
vertigo	9–6	0.21	13%	27 Aug →
mirage	13–1	0.07	18%	27 Aug →
cache	9–13	-0.05	8%	27 Aug →
mirage	13–10	0.06	15%	27 Aug →
cache	13–7	-0.01	21%	26 Aug →
mirage	8–13	-0.01	8%	22 Aug →
dust2	9–13	-0.03	12%	20 Aug →
mirage	13–8	0.06	17%	20 Aug →
mirage	13–9	0.05	20%	20 Aug →
dust2	13–6	-0.03	12%	20 Aug →
mirage	11–13	-0.00	10%	19 Aug →
anubis	10–13	0.03	10%	19 Aug →
mirage	15–15	0.05	9%	19 Aug →
mirage	13–7	0.02	13%	17 Aug →
ancient	14–16	0.07	10%	17 Aug →
dust2	13–8	0.05	15%	17 Aug →
inferno	13–1	0.06	12%	16 Aug →
mirage	11–13	0.02	15%	15 Aug →
dust2	5–13	0.01	11%	14 Aug →
mirage	13–8	0.10	9%	14 Aug →
ancient	13–10	0.05	15%	14 Aug →
ancient	13–9	0.12	13%	14 Aug →
mirage	13–6	0.10	19%	14 Aug →
dust2	8–13	0.03	17%	14 Aug →
mirage	13–11	0.05	18%	13 Aug →
anubis	6–13	-0.06	12%	12 Aug →
cache	4–13	0.01	16%	12 Aug →
dust2	9–13	0.04	16%	12 Aug →
mirage	13–6	-0.01	19%	12 Aug →
vertigo	9–5	0.07	13%	12 Aug →
dust2	14–16	0.04	12%	7 Aug →
ancient	7–13	0.12	15%	7 Aug →
dust2	13–5	-0.00	29%	7 Aug →
mirage	13–8	-0.01	20%	7 Aug →
mirage	13–5	0.02	22%	6 Aug →
vertigo	9–6	0.05	14%	6 Aug →
inferno	13–7	0.00	13%	5 Aug →
anubis	13–10	0.07	14%	5 Aug →
mirage	7–13	0.01	8%	4 Aug →
dust2	14–16	-0.01	21%	3 Aug →
mirage	4–13	-0.06	9%	3 Aug →
ancient	13–6	0.09	12%	3 Aug →
cache	13–8	-0.00	9%	3 Aug →
anubis	12–16	-0.04	16%	3 Aug →
ancient	13–0	0.25	11%	2 Aug →
ancient	8–13	-0.05	7%	2 Aug →
mirage	13–5	0.07	24%	2 Aug →
dust2	14–16	0.09	18%	2 Aug →
anubis	9–13	-0.02	10%	2 Aug →
mirage	13–0	0.13	11%	2 Aug →
dust2	9–13	0.01	10%	1 Aug →
dust2	13–11	0.01	13%	1 Aug →
mirage	7–13	-0.05	13%	30 Jul →
mirage	13–9	0.09	14%	29 Jul →
dust2	13–3	0.03	9%	29 Jul →
dust2	8–13	-0.02	11%	29 Jul →
ancient	13–1	0.05	11%	29 Jul →
ancient	8–13	-0.02	4%	29 Jul →
anubis	10–13	0.01	10%	29 Jul →
dust2	8–13	-0.03	20%	29 Jul →
dust2	11–13	-0.03	21%	29 Jul →
ancient	1–13	-0.06	21%	26 Jul →
ancient	10–13	0.06	17%	24 Jul →
anubis	13–9	0.01	27%	24 Jul →
dust2	14–16	0.06	16%	24 Jul →
cache	6–13	0.01	8%	24 Jul →
dust2	2–13	0.02	13%	24 Jul →
dust2	16–12	-0.01	6%	24 Jul →
mirage	16–13	0.01	8%	24 Jul →
dust2	7–13	-0.09	10%	23 Jul →
mirage	13–1	0.16	22%	23 Jul →
anubis	7–13	-0.00	13%	23 Jul →
mirage	13–8	0.05	17%	23 Jul →
dust2	8–13	0.03	15%	23 Jul →
mirage	13–1	-0.00	15%	22 Jul →
mirage	13–4	0.12	22%	22 Jul →
dust2	13–3	0.09	10%	22 Jul →
anubis	1–13	-0.01	13%	22 Jul →
mirage	13–9	-0.03	18%	22 Jul →
dust2	16–14	0.04	10%	22 Jul →
cache	11–13	0.04	9%	22 Jul →
ancient	13–8	-0.02	8%	20 Jul →
mirage	8–13	0.02	18%	20 Jul →
dust2	13–3	0.13	20%	20 Jul →
dust2	13–7	0.10	11%	20 Jul →
ancient	10–13	-0.00	16%	20 Jul →
mirage	13–3	0.03	8%	20 Jul →
ancient	9–13	-0.01	11%	19 Jul →
dust2	8–13	0.10	34%	18 Jul →
mirage	13–5	0.08	14%	17 Jul →
dust2	10–13	0.04	16%	17 Jul →