werdeN — CS2 Stats

CH76561198365239856[U:1:404974128]Steam profile ↗✓ No bans

2,399Tracked matches53%Win rate2020Tracked since

4,082Hours in CS26Hrs last 2 wks

CSDB Rating7.4 StrongPositional Player

Premier CS Rating21,487Top 50% of 211,494 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)

CSDB Leaderboard#63224 of 258394 tracked

FaceitLevel 10 · 2,165 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,487 → 21,487

0Faceit ELO · 2,165 → 2,165

+3Tracked matches · now 2,399

0.0ppWin rate · 53.3% → 53.3%

Rating over time

Premier CS Rating: 21,487 +0 28 Aug – 27 Oct · 8 observations

Faceit ELO: 2,165 +0 28 Aug – 27 Oct · 8 observations

21,487Peak Premier on CSDB

2,165Highest Faceit ELO seen on CSDB

31Days played since 2026-08-28

Faceit ELO

At peak — 2,165
0 over 30 days · steady
Next: 2,500 ELO at 2,500 — 335 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier CS Rating

At peak — 21,487
0 over 30 days · steady
Next: Red band at 25,000 — 3,513 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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
Headshot rate	53.4%	50.9%
Shot accuracy	12.6%	13.7%
Kill/death ratio	0.75	1.09
Match win rate	44.5%	48.4%

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Performance scores

Aim82

Positioning74

Utility55

0–100 skill scores via Leetify.

Recent form

COLD54–45–1Last 10054%Win rateLWLLLLWWLL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −0.5pp headshot accuracy · −29ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 22%
Avg reaction 513ms

Last 10

3–7 · 30% win rate
Avg rating -0.00
Avg headshot accuracy 22%
Avg reaction 525ms

Last 20

9–11 · 45% win rate
Avg rating -0.01
Avg headshot accuracy 22%
Avg reaction 540ms

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: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim8.2

Utility5.5

Positioning7.4

Opening Duels4.8

Clutch3.6

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 jL 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.2

Positioning7.4

Utility5.5

Mechanics8.2

Opening Duels6.5

Win Impact6.1

Composite 7.4/10 (Strong), 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 rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time530ms+36ms

first ⅓ avg 495ms → last ⅓ avg 530ms

Headshot accuracy23.0%+1.2%

first ⅓ avg 21.8% → last ⅓ avg 23.0%

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.

Personal bests

0.17Best match rating · 13–4 · inferno, 25 Sept →

45%Best headshot accuracy · 13–6 · inferno, 2 Oct →

359msFastest reaction time · 12–16 · inferno, 6 Oct →

13–2Biggest win · ancient, 9 Sept →

Across the last 100 tracked matches.

Highlights

11Longest win streak

8–9In matches decided by ≤2 rounds

21Overtime games

Map breakdown

ancientBest map · 63% over 32dust2Weakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	35	19–16	54%	0.02
ancient	A	32	20–12	63%	0.01
anubis	C	18	8–10	44%	-0.00
cache	C	9	4–5	44%	0.00
dust2	C	5	2–3	40%	-0.01
nuke	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

142,159Lifetime kills

0.75K/D

4,917Matches

44.5%Match win rate

53.4%Headshot % · Top 50% of Level 10 players

12.6%Shot accuracy

11,868MVPs

6,950Hours (in match)

5,375Bombs planted

1,531Bombs defused

Most-used weapons

AK-4764,439

M4A4 / M4A1-S23,626

Desert Eagle12,343

P2000 / USP-S8,878

AWP6,300

Glock-183,923

SG 5533,573

MP92,801

MP72,779

Galil AR2,142

Lifetime map wins

13,954inferno

7,169dust2

2,884nuke

2,284vertigo

1,170train

568cbble

284office

158lake

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

Faceit stats

Combat

2,181Matches

51%Win rate

1.11Avg K/D

78.7ADR

47%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	250	55%	1.11	16.6
Inferno	239	57%	1.19	16.6
Dust2	144	46%	1.09	15.9
Anubis	116	47%	1.05	16.3
Nuke	70	46%	1.23	16.8
Overpass	56	48%	1.14	16.3
Cache	32	34%	1.11	16.4
Mirage	28	39%	0.94	13.9

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.

23.2%Headshot accuracy

34.5%Accuracy (enemy spotted)

37.6%Spray accuracy

87.1%Counter-strafing

10.7°Preaim

524msReaction time

55.5%T opening success

56.4%CT opening success

0.57Enemies flashed / flash

7.8%Flash assists

11.23HE damage / grenade

6.62Flashes / match

Recommended for you

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.

40% win rate across 5 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
anubis	3–13	-0.02	12%	27 Oct →
cache	16–14	-0.00	15%	27 Oct →
inferno	13–16	-0.01	22%	27 Oct →
ancient	6–13	-0.03	32%	26 Oct →
dust2	7–13	-0.04	30%	26 Oct →
ancient	11–13	0.01	24%	26 Oct →
inferno	16–14	0.08	29%	25 Oct →
anubis	11–6	0.00	15%	25 Oct →
cache	14–16	0.02	20%	24 Oct →
ancient	7–13	-0.04	22%	24 Oct →
anubis	13–4	-0.03	20%	24 Oct →
inferno	19–16	0.01	21%	24 Oct →
inferno	13–6	-0.01	32%	24 Oct →
ancient	7–13	-0.04	15%	23 Oct →
ancient	13–6	0.09	26%	23 Oct →
dust2	16–19	-0.01	18%	23 Oct →
anubis	11–13	-0.01	23%	23 Oct →
ancient	8–13	-0.05	13%	22 Oct →
ancient	13–10	-0.02	34%	22 Oct →
ancient	13–10	0.00	26%	22 Oct →
inferno	13–5	0.05	21%	21 Oct →
inferno	13–11	0.03	25%	17 Oct →
ancient	19–15	0.02	23%	16 Oct →
ancient	8–13	0.01	19%	16 Oct →
inferno	16–13	0.03	28%	16 Oct →
anubis	9–13	-0.04	23%	16 Oct →
inferno	11–13	-0.03	21%	13 Oct →
ancient	13–9	-0.01	35%	13 Oct →
ancient	13–8	0.04	35%	13 Oct →
anubis	13–8	0.04	17%	13 Oct →
inferno	13–4	0.06	35%	13 Oct →
ancient	4–13	-0.05	11%	8 Oct →
inferno	7–13	-0.01	17%	7 Oct →
anubis	13–3	0.02	38%	7 Oct →
cache	13–6	0.06	41%	7 Oct →
anubis	11–13	0.00	23%	7 Oct →
cache	7–13	-0.04	8%	6 Oct →
inferno	12–16	-0.03	19%	6 Oct →
inferno	7–13	0.03	29%	6 Oct →
inferno	5–13	-0.05	19%	3 Oct →
cache	6–13	-0.02	29%	3 Oct →
ancient	13–9	0.06	30%	3 Oct →
cache	5–13	-0.02	34%	3 Oct →
ancient	19–17	-0.00	28%	3 Oct →
inferno	13–6	-0.02	33%	2 Oct →
anubis	13–3	0.04	15%	2 Oct →
inferno	6–13	0.08	25%	2 Oct →
inferno	13–6	0.06	45%	2 Oct →
ancient	8–13	0.03	18%	2 Oct →
inferno	19–16	-0.01	29%	1 Oct →
anubis	6–13	0.02	23%	28 Sept →
inferno	9–13	-0.01	26%	28 Sept →
ancient	13–11	0.01	14%	27 Sept →
ancient	16–12	0.03	21%	27 Sept →
inferno	13–10	0.09	26%	27 Sept →
anubis	13–9	-0.00	24%	27 Sept →
inferno	7–13	0.01	26%	27 Sept →
inferno	16–19	-0.02	11%	26 Sept →
ancient	16–13	0.03	24%	26 Sept →
ancient	13–10	0.00	21%	26 Sept →
inferno	13–7	0.00	19%	25 Sept →
inferno	13–9	0.01	19%	25 Sept →
inferno	13–4	0.17	33%	25 Sept →
ancient	13–5	0.04	23%	25 Sept →
inferno	16–12	0.01	28%	25 Sept →
ancient	13–9	0.05	20%	25 Sept →
ancient	13–4	0.01	17%	24 Sept →
nuke	13–7	0.08	19%	24 Sept →
dust2	13–11	0.00	25%	24 Sept →
inferno	3–13	-0.03	27%	24 Sept →
inferno	11–13	-0.00	17%	21 Sept →
inferno	15–19	-0.01	22%	21 Sept →
ancient	13–10	-0.01	16%	20 Sept →
anubis	13–11	0.00	12%	20 Sept →
ancient	13–8	0.04	24%	20 Sept →
inferno	8–13	-0.03	18%	18 Sept →
anubis	13–3	-0.01	18%	18 Sept →
inferno	13–6	0.03	26%	18 Sept →
cache	9–13	0.02	35%	18 Sept →
cache	19–16	0.00	22%	18 Sept →
dust2	2–13	-0.07	18%	18 Sept →
anubis	14–16	0.02	25%	15 Sept →
ancient	13–4	0.00	12%	15 Sept →
dust2	13–11	0.06	30%	15 Sept →
inferno	9–13	-0.06	24%	14 Sept →
ancient	13–4	0.07	22%	14 Sept →
ancient	0–0	0.00	0%	12 Sept →
inferno	13–10	0.03	17%	12 Sept →
anubis	7–13	-0.00	20%	11 Sept →
anubis	14–16	0.01	24%	11 Sept →
inferno	13–16	0.04	33%	10 Sept →
inferno	13–7	0.03	24%	10 Sept →
inferno	22–18	-0.00	28%	9 Sept →
cache	13–8	0.02	33%	9 Sept →
ancient	13–2	0.05	19%	9 Sept →
ancient	11–13	-0.00	18%	9 Sept →
ancient	6–13	-0.02	32%	9 Sept →
anubis	8–13	-0.05	18%	9 Sept →
anubis	10–13	-0.02	30%	8 Sept →
ancient	8–13	0.01	14%	8 Sept →