Reggles — CS2 Stats

US76561198058338093[U:1:98072365]Steam profile ↗✓ No bans

695Tracked matches43%Win rate2023Tracked since

1,176Hours in CS28Hrs last 2 wks

CSDB Rating4.9 DevelopingClutch Specialist

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,247), 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 4 median	Level 5 median	vs Level 5
Headshot rate	52.7%	42.7%	43.7%	above
Shot accuracy	2.1%	11.3%	12.0%	10.0% short
Kill/death ratio	1.05	0.99	1.02	above
Match win rate	44.2%	43.9%	44.7%	meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim69

Positioning37

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateLLLWWWLLWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +8.8pp headshot accuracy · +102ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 22%
Avg reaction 708ms

Last 10

4–6 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 25%
Avg reaction 654ms

Last 20

7–11–2 · 35% win rate
Avg rating -0.03
Avg headshot accuracy 20%
Avg reaction 603ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.1 against its own average).

Aim6.9

Utility3.9

Positioning3.7

Opening Duels0.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like b1t 96% playstyle similarity

Most alike: utility contribution, 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 32 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. 582ms 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

Aim6.9

Positioning3.7

Utility3.9

Mechanics8.1

Opening Duels0.0

Win Impact2.6

Composite 4.9/10 (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-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time590ms−85ms

first ⅓ avg 675ms → last ⅓ avg 590ms

Headshot accuracy16.8%−2.3%

first ⅓ avg 19.1% → last ⅓ avg 16.8%

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.

Personal bests

0.15Best match rating · 13–2 · cache, 3 Sept →

75%Best headshot accuracy · 3–13 · office, 14 May →

422msFastest reaction time · 11–13 · nuke, 10 Sept →

13–1Biggest win · vertigo, 10 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L3Current streak

4–6In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 50% over 56cacheWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	56	28–28	50%	-0.02
cache	D	16	5–11	31%	-0.03
shelter	C	5	2–3	40%	-0.03
ancient	C	5	2–3	40%	0.01
inferno	—	4	1–3	25%	0.01
vertigo	—	4	2–2	50%	-0.01
office	—	4	2–2	50%	-0.00
mirage	—	2	1–1	50%	0.03
rush_001	—	1	0–1	0%	-0.09
dust2	—	1	0–1	0%	-0.02
boulder	—	1	0–1	0%	-0.03
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Lifetime stats

18,231Lifetime kills

1.05K/D · Top 50% of Level 4 players

1,073Matches

44.2%Match win rate · Top 50% of Level 4 players

52.7%Headshot % · Top 25% of Level 4 players

2.1%Shot accuracy

1,525MVPs

507Hours (in match)

806Bombs planted

159Bombs defused

Most-used weapons

AK-474,009

M4A4 / M4A1-S3,357

Desert Eagle2,427

P2000 / USP-S1,268

Galil AR758

Glock-18754

Nova621

XM1014601

Negev578

MP9461

Lifetime map wins

2,352nuke

1,107vertigo

746inferno

351dust2

254office

197train

26italy

22sugarcane

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

Faceit stats

Combat

14Matches

64%Win rate

0.94Avg K/D

65.6ADR

46%Headshot %

Clutches & streaks

40%1v1 clutch win

27%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	6	83%	1.04	13.2
Vertigo	2	0%	0.69	10.0
Anubis	2	0%	0.82	11.0
Nuke	2	100%	1.03	17.0
Mirage	2	100%	0.95	17.0

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.

16.7%Headshot accuracy

36.8%Accuracy (enemy spotted)

42.8%Spray accuracy

86.4%Counter-strafing

13.6°Preaim

582msReaction time

24.1%T opening success

27.3%CT opening success

0.57Enemies flashed / flash

3.3%Flash assists

4.05HE damage / grenade

11.31Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.6087° — above the 12° mark we flag
Aim Training →

Spend your practice time on Cache

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.00	35%	11 Oct →
nuke	5–8	0.03	38%	11 Oct →
rush_001	6–8	-0.09	18%	3 Oct →
nuke	13–4	-0.11	7%	1 Oct →
shelter	13–9	-0.03	14%	18 Sept →
nuke	13–10	-0.08	33%	18 Sept →
shelter	10–13	-0.02	28%	13 Sept →
shelter	10–13	-0.02	18%	13 Sept →
mirage	13–5	0.04	30%	11 Sept →
cache	3–13	-0.08	25%	11 Sept →
nuke	5–13	-0.07	21%	11 Sept →
nuke	11–13	0.01	17%	10 Sept →
nuke	13–8	-0.06	18%	10 Sept →
nuke	13–7	-0.06	22%	9 Sept →
cache	12–12	0.04	17%	9 Sept →
ancient	12–12	-0.03	14%	7 Sept →
inferno	10–13	-0.00	17%	7 Sept →
nuke	11–13	-0.05	8%	7 Sept →
nuke	11–13	-0.08	13%	5 Sept →
nuke	13–4	-0.01	11%	5 Sept →
inferno	13–5	0.01	10%	4 Sept →
nuke	4–13	-0.03	10%	4 Sept →
cache	13–2	0.15	14%	3 Sept →
ancient	13–6	-0.04	4%	3 Sept →
vertigo	4–13	-0.02	9%	2 Sept →
ancient	13–10	0.07	10%	31 Aug →
nuke	7–13	-0.03	8%	31 Aug →
ancient	8–13	0.02	15%	31 Aug →
nuke	4–13	-0.06	13%	31 Aug →
nuke	13–5	0.05	9%	31 Aug →
dust2	8–13	-0.02	15%	29 Aug →
cache	6–13	-0.05	21%	29 Aug →
nuke	13–11	-0.03	9%	28 Aug →
nuke	13–9	0.01	6%	27 Aug →
nuke	12–12	-0.08	6%	27 Aug →
nuke	13–11	-0.01	26%	23 Aug →
nuke	13–6	-0.00	19%	22 Aug →
nuke	12–12	0.02	6%	16 Aug →
nuke	13–6	0.00	15%	16 Aug →
nuke	4–13	-0.07	21%	16 Aug →
nuke	13–8	0.00	13%	9 Aug →
nuke	0–7	-0.10	0%	9 Aug →
nuke	12–12	0.04	15%	9 Aug →
nuke	9–13	0.02	10%	7 Aug →
boulder	4–13	-0.03	25%	6 Aug →
shelter	0–13	-0.11	25%	6 Aug →
nuke	13–5	-0.02	10%	6 Aug →
nuke	9–13	0.01	12%	6 Aug →
nuke	4–13	-0.07	16%	2 Aug →
inferno	1–6	0.04	43%	2 Aug →
nuke	8–13	-0.03	17%	31 Jul →
nuke	13–11	-0.01	17%	30 Jul →
shelter	13–9	0.02	13%	29 Jul →
cache	6–13	-0.06	21%	29 Jul →
cache	13–10	-0.03	13%	29 Jul →
nuke	12–12	0.02	15%	29 Jul →
nuke	13–6	0.06	19%	26 Jul →
nuke	7–13	0.01	11%	23 Jul →
nuke	13–4	0.00	19%	17 Jul →
nuke	13–8	0.06	20%	17 Jul →
nuke	13–6	0.02	18%	14 Jul →
nuke	6–11	-0.07	24%	14 Jul →
nuke	3–13	-0.11	0%	14 Jul →
nuke	13–3	-0.05	8%	14 Jul →
nuke	13–6	0.02	16%	11 Jul →
nuke	11–13	-0.08	14%	8 Jul →
office	1–13	-0.12	0%	8 Jul →
cache	13–4	-0.01	18%	4 Jul →
cache	12–12	-0.05	16%	4 Jul →
cache	13–4	-0.01	19%	4 Jul →
nuke	3–13	-0.09	16%	4 Jul →
cache	12–12	-0.03	17%	2 Jul →
nuke	13–11	-0.05	21%	29 Jun →
nuke	13–10	-0.04	22%	29 Jun →
ancient	5–13	0.01	26%	25 Jun →
nuke	10–13	-0.07	3%	25 Jun →
nuke	11–13	-0.01	12%	21 Jun →
cache	3–13	-0.11	20%	7 Jun →
vertigo	4–13	-0.03	31%	7 Jun →
train	9–13	-0.03	12%	7 Jun →
nuke	13–7	-0.04	8%	30 May →
cache	9–13	-0.03	14%	30 May →
nuke	9–13	-0.06	30%	30 May →
nuke	13–8	0.02	21%	18 May →
nuke	13–6	-0.01	6%	16 May →
office	13–5	0.01	20%	16 May →
nuke	13–6	-0.06	11%	15 May →
nuke	13–5	-0.03	11%	15 May →
nuke	13–4	0.07	17%	15 May →
vertigo	13–5	0.01	34%	15 May →
cache	12–12	-0.03	22%	15 May →
cache	3–13	-0.02	21%	15 May →
nuke	6–13	-0.01	16%	15 May →
mirage	10–13	0.02	17%	14 May →
office	13–5	0.13	20%	14 May →
office	3–13	-0.04	75%	14 May →
cache	10–13	-0.07	11%	11 May →
vertigo	13–1	-0.00	11%	10 May →
cache	13–9	-0.07	8%	10 May →
nuke	10–13	0.07	24%	5 May →