RepercussioN — CS2 Stats

IN76561197994491023[U:1:34225295]Steam profile ↗✓ No bans

4,103Tracked matches47%Win rate2020Tracked since

7,601Hours in CS32Hrs last 2 wks

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating20,550Top 50% of 44,590 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)

CSDB Leaderboard#20618 of 59543 tracked

FaceitLevel 9 · 1,777 ELOTop 20.7% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

Rating over time

20,550Peak Premier on CSDB

1,777Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 1,777
Next: Level 10 at 2,001 — 224 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-30
Level 8 first seen 2026-08-30

Premier CS Rating

At peak — 20,550
Next: Red band at 25,000 — 4,450 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=2,911), 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 9 median	Level 10 median	vs Level 10
Headshot rate	54.9%	48.4%	51.7%	above
Shot accuracy	14.3%	13.2%	13.8%	above
Kill/death ratio	1.13	1.08	1.09	above
Match win rate	54.3%	47.0%	48.7%	above

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim85

Positioning59

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLWWWLLLWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.5

Aggression6.1

Utility6.6

Positioning5.9

Opening Duels3.2

Clutch4.0

Sharp aimerStrong CT-side openerEffective flashes

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 95% playstyle similarity

Most alike: utility contribution, 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 54% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim8.5

Positioning5.9

Utility6.6

Mechanics6.7

Opening Duels3.2

Win Impact3.9

Composite 6.6/10 (Solid), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time554ms−17ms

first ⅓ avg 571ms → last ⅓ avg 554ms

Headshot accuracy26.0%−4.4%

first ⅓ avg 30.4% → last ⅓ avg 26.0%

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

0.16Best rating — ancient 13–3

13–1Biggest win — ancient

8Longest win streak

9–3In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 73% over 22dust2Weakest map · 42% over 19

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	24	15–9	63%	0.02
ancient	S	22	16–6	73%	0.02
dust2	C	19	8–11	42%	0.01
anubis	B	15	7–8	47%	0.01
mirage	C	7	3–4	43%	0.01
nuke	B	6	3–3	50%	-0.02
overpass	—	4	4–0	100%	0.02
cache	—	3	1–2	33%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

235,265Lifetime kills

1.13K/D · Top 50% of Level 9 players

8,916Matches

54.3%Match win rate · Top 10% of Level 9 players

54.9%Headshot % · Top 25% of Level 9 players

14.3%Shot accuracy · Top 50% of Level 9 players

28,580MVPs

4,473Hours (in match)

14,224Bombs planted

2,265Bombs defused

Most-used weapons

AK-4799,461

M4A4 / M4A1-S49,975

AWP18,993

P2000 / USP-S14,815

Desert Eagle11,759

Glock-188,755

P2504,875

FAMAS4,513

Galil AR4,111

MP93,646

Lifetime map wins

20,516inferno

16,962dust2

5,981nuke

3,036train

3,033cbble

2,426vertigo

16safehouse

5house

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

Faceit stats

Combat

2,089Matches

49%Win rate

1.07Avg K/D

81.1ADR

56%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	341	45%	1.00	15.9
Anubis	297	51%	1.11	16.9
Inferno	295	53%	1.07	16.1
Dust2	288	45%	1.07	16.0
Mirage	236	44%	1.02	16.4
Nuke	126	48%	1.06	17.9
Overpass	32	69%	1.14	17.1
Vertigo	30	43%	1.04	15.6

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.

25.7%Headshot accuracy

35.7%Accuracy (enemy spotted)

44.3%Spray accuracy

79.9%Counter-strafing

10.1°Preaim

557msReaction time

31.3%T opening success

54.0%CT opening success

0.78Enemies flashed / flash

9.0%Flash assists

11.19HE damage / grenade

8.26Flashes / 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 31.327% — 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.

42% win rate across 19 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
ancient	10–13	-0.02	27%	26 Aug →
mirage	13–5	0.06	35%	26 Aug →
anubis	13–8	0.11	23%	26 Aug →
inferno	13–5	0.09	20%	26 Aug →
inferno	7–13	-0.08	14%	25 Aug →
dust2	10–13	-0.04	28%	22 Aug →
inferno	10–13	-0.05	22%	22 Aug →
dust2	13–11	-0.01	19%	21 Aug →
dust2	1–2	-0.05	0%	15 Aug →
dust2	9–13	0.04	26%	15 Aug →
ancient	13–4	0.01	31%	14 Aug →
anubis	13–9	0.06	22%	14 Aug →
mirage	13–4	0.05	40%	12 Aug →
inferno	13–5	0.06	56%	12 Aug →
anubis	4–13	-0.04	17%	8 Aug →
inferno	3–13	-0.02	20%	30 Jul →
mirage	3–13	-0.04	19%	28 Jul →
ancient	6–13	0.02	33%	24 Jul →
cache	11–13	-0.01	18%	22 Jul →
inferno	9–13	0.09	27%	22 Jul →
ancient	16–14	0.10	28%	15 Jul →
nuke	6–13	0.04	41%	15 Jul →
inferno	7–13	-0.02	20%	14 Jul →
dust2	13–6	0.06	28%	14 Jul →
ancient	13–4	0.13	27%	14 Jul →
dust2	14–16	0.02	15%	14 Jul →
inferno	13–2	0.09	21%	13 Jul →
dust2	13–11	0.03	22%	13 Jul →
dust2	8–13	-0.07	38%	13 Jul →
nuke	13–2	0.04	21%	13 Jul →
anubis	13–11	0.08	29%	12 Jul →
cache	13–10	0.07	27%	12 Jul →
ancient	13–10	-0.02	43%	12 Jul →
anubis	4–13	-0.03	12%	12 Jul →
ancient	13–11	-0.01	26%	12 Jul →
ancient	7–13	-0.02	10%	10 Jul →
anubis	2–13	-0.10	12%	9 Jul →
dust2	5–13	-0.03	19%	9 Jul →
dust2	13–4	0.03	14%	6 Jul →
inferno	13–6	0.08	21%	6 Jul →
anubis	13–3	0.04	17%	6 Jul →
inferno	6–13	-0.02	33%	4 Jul →
anubis	16–13	-0.03	27%	3 Jul →
inferno	0–13	0.00	75%	3 Jul →
ancient	13–1	0.01	41%	30 Jun →
anubis	6–13	-0.04	16%	29 Jun →
ancient	13–5	-0.00	15%	28 Jun →
anubis	15–15	0.06	31%	28 Jun →
dust2	13–4	0.02	26%	27 Jun →
nuke	13–9	0.01	25%	27 Jun →
overpass	13–7	0.02	18%	27 Jun →
anubis	15–15	-0.01	20%	27 Jun →
ancient	13–4	0.03	31%	27 Jun →
inferno	2–13	-0.04	43%	24 Jun →
dust2	13–8	0.00	24%	24 Jun →
ancient	13–8	-0.00	22%	24 Jun →
ancient	10–13	-0.05	21%	20 Jun →
ancient	16–12	-0.04	42%	17 Jun →
cache	9–13	0.01	41%	17 Jun →
inferno	13–11	0.09	20%	17 Jun →
overpass	13–8	0.02	25%	17 Jun →
ancient	13–11	-0.00	25%	16 Jun →
dust2	12–16	-0.06	21%	16 Jun →
dust2	12–16	0.02	30%	16 Jun →
inferno	5–0	0.04	16%	16 Jun →
ancient	13–4	0.05	38%	16 Jun →
dust2	9–13	0.07	29%	16 Jun →
inferno	13–5	-0.03	42%	15 Jun →
inferno	13–9	0.00	41%	14 Jun →
ancient	13–1	0.02	33%	14 Jun →
overpass	13–10	0.00	33%	13 Jun →
nuke	16–13	-0.06	41%	13 Jun →
overpass	13–5	0.03	31%	13 Jun →
inferno	13–11	-0.01	25%	12 Jun →
inferno	13–8	-0.00	28%	12 Jun →
nuke	12–16	-0.09	24%	12 Jun →
mirage	1–13	-0.11	24%	12 Jun →
mirage	6–13	0.02	34%	11 Jun →
dust2	13–6	0.04	18%	10 Jun →
anubis	10–13	-0.01	13%	10 Jun →
inferno	13–11	-0.00	29%	10 Jun →
mirage	13–6	0.05	25%	10 Jun →
ancient	13–7	0.01	35%	10 Jun →
dust2	7–13	0.09	45%	9 Jun →
ancient	9–13	0.03	35%	9 Jun →
inferno	13–6	0.06	31%	9 Jun →
nuke	6–13	-0.04	32%	9 Jun →
inferno	13–3	0.02	54%	8 Jun →
anubis	13–9	0.07	22%	8 Jun →
ancient	2–13	-0.01	35%	8 Jun →
inferno	13–5	0.05	24%	8 Jun →
ancient	13–3	0.16	24%	8 Jun →
anubis	2–7	-0.05	50%	5 May →
dust2	13–4	-0.01	33%	5 May →
inferno	13–5	0.05	35%	4 May →
inferno	10–13	-0.02	21%	3 May →
dust2	3–13	-0.04	16%	3 May →
anubis	13–8	0.02	24%	3 May →
mirage	3–13	0.07	28%	3 May →
ancient	13–10	0.07	16%	2 May →