sokynder44 — CS2 Stats

76561199055580705[U:1:1095314977]Steam profile ↗✓ No bans

876Tracked matches50%Win rate2020Tracked since

1,273Hours in CS

CSDB Rating6.4 SolidAll-Rounder

CSDB Leaderboard#216278 of 259616 tracked

FaceitLevel 10 · 2,658 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,658 → 2,658

+3Tracked matches · now 876

−6.7ppWin rate · 56.7% → 50.0%

Rating over time

Premier CS Rating: 21,694 -3,305 7 Nov – 29 Aug · 16 days played

Faceit ELO: 2,658 +0 29 Aug – 20 Sept · 3 observations

26,270Peak Premier in tracked matches

2,658Highest Faceit ELO seen on CSDB

32Days played since 2025-11-07

Faceit ELO

At peak — 2,658
Next: 3,000 ELO at 3,000 — 342 to go
Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
2,500 ELO first seen 2026-08-29
Level 10 first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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	37.5%	50.9%
Shot accuracy	12.5%	13.7%
Kill/death ratio	1.13	1.09
Match win rate	43.4%	48.4%

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Performance scores

Aim76

Positioning60

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLWLLWWLLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · −93ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 25%
Avg reaction 528ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 484ms

Last 20

10–10 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 530ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.6

Utility5.9

Positioning6.0

Opening Duels5.6

Clutch4.6

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 device 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.6

Positioning6.0

Utility5.9

Mechanics6.5

Opening Duels4.4

Win Impact5.0

Composite 6.4/10 (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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time537ms−43ms

first ⅓ avg 581ms → last ⅓ avg 537ms

Headshot accuracy17.1%−2.0%

first ⅓ avg 19.1% → last ⅓ avg 17.1%

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

0.14Best match rating · 13–8 · mirage, 20 Dec →

100%Best headshot accuracy · 13–0 · dust2, 3 Jul →

359msFastest reaction time · 1–13 · dust2, 10 Jul →

13–0Biggest win · dust2, 3 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

6–2In matches decided by ≤2 rounds

4Overtime games

Map breakdown

ancientBest map · 78% over 9dust2Weakest map · 40% over 40

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	40	16–24	40%	0.01
mirage	S	35	23–12	66%	0.01
ancient	S	9	7–2	78%	0.02
cache	C	5	2–3	40%	-0.00
anubis	—	4	3–1	75%	-0.01
inferno	—	4	3–1	75%	-0.01
overpass	—	1	1–0	100%	-0.01
nuke	—	1	1–0	100%	0.01
train	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

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

Lifetime stats

72,822Lifetime kills

1.13K/D · Top 50% of Level 10 players

3,145Matches

43.4%Match win rate

37.5%Headshot %

12.5%Shot accuracy

8,429MVPs

1,273Hours (in match)

3,253Bombs planted

575Bombs defused

Most-used weapons

AWP22,775

AK-4715,929

M4A4 / M4A1-S9,286

Desert Eagle5,548

SSG 083,360

P2000 / USP-S3,095

Glock-181,808

Galil AR1,543

FAMAS1,095

P250951

Lifetime map wins

8,916dust2

2,598inferno

706train

684nuke

657vertigo

208cbble

34office

29safehouse

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

Faceit stats

Combat

879Matches

55%Win rate

1.18Avg K/D

80.7ADR

39%Headshot %

Clutches & streaks

43%1v1 clutch win

28%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	172	57%	1.13	16.1
Dust2	119	54%	1.24	16.5
Ancient	59	51%	1.01	13.9
Anubis	42	52%	1.13	16.9
Inferno	41	49%	1.11	16.4
Nuke	22	59%	1.05	17.9
Train	5	80%	1.02	13.8
Cache	5	40%	0.81	15.0

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.

17.3%Headshot accuracy

33.6%Accuracy (enemy spotted)

34.4%Spray accuracy

79.2%Counter-strafing

7.2°Preaim

540msReaction time

45.5%T opening success

49.9%CT opening success

0.56Enemies flashed / flash

12.3%Flash assists

9.93HE damage / grenade

8.26Flashes / 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 40 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
mirage	2–13	-0.08	10%	19 Sept →
ancient	13–7	0.02	13%	16 Sept →
mirage	8–13	-0.02	17%	15 Sept →
dust2	0–6	-0.05	60%	14 Sept →
mirage	13–8	0.05	28%	25 Jul →
anubis	13–10	-0.04	9%	25 Jul →
dust2	5–13	-0.02	10%	25 Jul →
dust2	6–13	-0.05	23%	24 Jul →
ancient	13–9	0.10	18%	24 Jul →
cache	2–6	-0.05	0%	24 Jul →
inferno	13–9	-0.04	19%	24 Jul →
anubis	13–11	-0.02	9%	22 Jul →
dust2	4–13	0.02	13%	21 Jul →
dust2	10–13	0.03	24%	20 Jul →
dust2	13–6	0.01	30%	19 Jul →
dust2	1–13	-0.16	0%	15 Jul →
mirage	13–5	-0.01	15%	15 Jul →
dust2	5–13	-0.03	28%	15 Jul →
mirage	13–8	0.08	23%	14 Jul →
dust2	13–2	0.09	12%	14 Jul →
cache	8–13	-0.03	16%	14 Jul →
dust2	0–13	0.04	7%	13 Jul →
dust2	13–9	0.02	19%	13 Jul →
mirage	13–11	0.00	20%	13 Jul →
mirage	13–6	0.09	17%	13 Jul →
cache	13–8	0.03	21%	13 Jul →
mirage	4–13	0.01	30%	13 Jul →
dust2	11–13	0.02	11%	13 Jul →
anubis	13–7	0.02	18%	13 Jul →
inferno	10–13	-0.03	10%	13 Jul →
cache	13–7	0.06	20%	13 Jul →
dust2	13–7	0.06	10%	13 Jul →
dust2	5–13	0.04	9%	12 Jul →
dust2	13–16	0.02	24%	12 Jul →
dust2	9–13	0.03	20%	12 Jul →
dust2	16–12	0.02	8%	12 Jul →
dust2	13–5	0.03	20%	12 Jul →
inferno	13–9	0.02	19%	11 Jul →
dust2	13–8	0.01	18%	10 Jul →
mirage	13–5	-0.02	16%	10 Jul →
ancient	13–4	-0.07	23%	10 Jul →
ancient	1–13	-0.03	22%	10 Jul →
dust2	1–13	-0.04	22%	10 Jul →
dust2	13–11	0.02	20%	9 Jul →
dust2	6–13	0.01	14%	9 Jul →
dust2	13–8	-0.09	21%	9 Jul →
dust2	13–1	0.09	30%	9 Jul →
dust2	9–13	-0.06	11%	9 Jul →
mirage	13–8	-0.06	6%	9 Jul →
mirage	16–14	-0.03	10%	9 Jul →
mirage	13–2	0.09	18%	9 Jul →
mirage	13–10	0.00	15%	9 Jul →
mirage	1–7	-0.06	13%	9 Jul →
dust2	13–4	0.03	30%	5 Jul →
ancient	13–9	0.07	10%	5 Jul →
mirage	13–10	0.04	25%	5 Jul →
cache	8–13	-0.03	14%	4 Jul →
mirage	8–13	-0.04	17%	4 Jul →
ancient	10–13	-0.00	10%	3 Jul →
dust2	13–0	-0.02	100%	3 Jul →
ancient	13–8	0.06	17%	28 Apr →
dust2	10–13	-0.05	17%	28 Apr →
dust2	13–7	0.03	13%	22 Apr →
anubis	4–13	0.01	21%	22 Apr →
mirage	5–13	-0.03	12%	11 Mar →
dust2	13–8	0.07	29%	2 Feb →
mirage	6–13	-0.07	19%	27 Dec →
dust2	15–15	0.03	16%	21 Dec →
mirage	13–4	-0.04	8%	21 Dec →
overpass	13–5	-0.01	22%	21 Dec →
dust2	10–13	0.04	9%	21 Dec →
dust2	7–13	0.02	29%	21 Dec →
mirage	13–8	0.02	35%	21 Dec →
mirage	10–13	0.01	15%	21 Dec →
dust2	13–1	0.07	16%	21 Dec →
mirage	6–13	-0.02	7%	21 Dec →
mirage	13–11	0.03	15%	21 Dec →
dust2	10–13	-0.02	22%	21 Dec →
nuke	13–3	0.01	7%	20 Dec →
mirage	13–8	0.14	14%	20 Dec →
ancient	13–9	0.07	15%	20 Dec →
dust2	10–13	-0.05	14%	20 Dec →
dust2	10–13	0.04	21%	10 Dec →
mirage	1–4	-0.00	18%	10 Dec →
ancient	13–7	-0.02	19%	10 Dec →
mirage	9–13	-0.02	29%	5 Dec →
inferno	13–9	0.01	24%	2 Dec →
mirage	13–9	0.01	16%	23 Nov →
mirage	13–2	-0.00	19%	23 Nov →
dust2	11–13	0.04	32%	23 Nov →
mirage	13–6	-0.01	19%	23 Nov →
mirage	13–6	0.06	30%	23 Nov →
train	13–0	0.00	0%	23 Nov →
mirage	8–13	-0.02	15%	23 Nov →
mirage	13–11	0.02	13%	23 Nov →
dust2	13–6	0.08	17%	23 Nov →
mirage	13–4	0.03	43%	23 Nov →
mirage	13–4	0.05	22%	23 Nov →
dust2	8–13	-0.06	23%	23 Nov →
mirage	13–7	0.10	26%	7 Nov →