Stringer Bellend — CS2 Stats

CN76561198032828315[U:1:72562587]Steam profile ↗✓ No bans

1,395Tracked matches41%Win rate2020Tracked since

2,655Hours in CS5Hrs last 2 wks

CSDB Rating4.6 DevelopingClutch Specialist

Premier CS Rating17,609Purple band · top ~18% of ranked players (population est.)

CSDB Leaderboard#28934 of 57953 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=1,073), 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 2 median	Level 3 median	vs Level 3
Headshot rate	40.9%	40.9%	41.8%	0.9% short
Shot accuracy	14.7%	12.5%	11.9%	above
Kill/death ratio	1.13	0.95	0.97	above
Match win rate	47.2%	42.4%	43.5%	above

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

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim55

Positioning48

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY48–50–2Last 10048%Win rateWLWWTWLLWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.5

Aggression4.8

Utility5.5

Positioning4.8

Opening Duels1.6

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower aim profile.

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

CSDB Rating breakdown

Aim5.5

Positioning4.8

Utility5.5

Mechanics5.1

Opening Duels1.6

Win Impact2.1

Composite 4.6/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time512ms−76ms

first ⅓ avg 588ms → last ⅓ avg 512ms

Headshot accuracy13.9%−0.3%

first ⅓ avg 14.2% → last ⅓ avg 13.9%

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

0.21Best rating — cache 13–5

13–1Biggest win — dust2

8Longest win streak

9–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 62% over 13dust2Weakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	21	11–10	52%	0.01
ancient	B	17	8–9	47%	0.00
anubis	A	17	10–7	59%	-0.01
cache	A	13	8–5	62%	0.01
nuke	A	11	6–5	55%	0.04
mirage	D	11	3–8	27%	-0.01
dust2	D	8	2–6	25%	-0.02
train	—	1	0–1	0%	0.00
vertigo	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,286Lifetime kills

1.13K/D · Top 25% of Level 2 players

3,822Matches

47.2%Match win rate · Top 25% of Level 2 players

40.9%Headshot % · Top 50% of Level 2 players

14.7%Shot accuracy · Top 50% of Level 2 players

8,158MVPs

1,659Hours (in match)

4,380Bombs planted

1,025Bombs defused

Most-used weapons

M4A4 / M4A1-S20,871

AK-4714,152

MP77,237

PP-Bizon6,759

SG 5533,997

P2000 / USP-S3,679

Glock-183,657

AUG1,936

P901,452

Five-SeveN1,146

Lifetime map wins

11,941nuke

10,923dust2

5,218inferno

504vertigo

424train

114aztec

113dust

62office

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

Faceit stats

Combat

51Matches

45%Win rate

1.06Avg K/D

75.6ADR

39%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLLW

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.

13.7%Headshot accuracy

33.3%Accuracy (enemy spotted)

33.2%Spray accuracy

72.9%Counter-strafing

11.5°Preaim

517msReaction time

32.9%T opening success

39.5%CT opening success

0.59Enemies flashed / flash

4.4%Flash assists

17.37HE damage / grenade

2.70Flashes / 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 13.7345% — 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 2.7027 — below the 4 mark we flag
Grenade Lineups →
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 32.9157% — 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.

25% win rate across 8 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	13–3	0.11	13%	21 Aug →
inferno	9–13	-0.01	18%	20 Aug →
anubis	13–5	-0.05	12%	20 Aug →
inferno	13–5	0.11	22%	20 Aug →
inferno	15–15	0.06	18%	19 Aug →
inferno	13–9	0.10	19%	17 Aug →
train	8–13	0.00	12%	17 Aug →
ancient	11–13	-0.03	13%	13 Aug →
nuke	13–10	0.00	11%	13 Aug →
dust2	10–13	-0.02	13%	11 Aug →
mirage	7–13	-0.02	16%	11 Aug →
mirage	13–16	-0.01	9%	5 Aug →
dust2	6–13	-0.07	11%	5 Aug →
anubis	11–13	-0.03	13%	5 Aug →
inferno	13–5	0.06	9%	4 Aug →
anubis	13–8	0.07	16%	4 Aug →
vertigo	7–13	0.02	8%	4 Aug →
mirage	3–13	0.00	19%	4 Aug →
nuke	13–7	0.09	9%	4 Aug →
inferno	8–13	0.05	9%	4 Aug →
anubis	9–13	-0.07	13%	22 Jul →
inferno	8–13	-0.02	13%	22 Jul →
mirage	11–13	0.01	12%	22 Jul →
mirage	9–13	0.02	18%	21 Jul →
ancient	13–5	0.12	9%	21 Jul →
anubis	13–11	-0.00	18%	20 Jul →
mirage	8–13	0.06	16%	20 Jul →
nuke	6–13	0.03	18%	20 Jul →
cache	13–9	-0.01	19%	20 Jul →
inferno	13–8	0.01	10%	20 Jul →
anubis	13–5	0.00	10%	20 Jul →
ancient	9–13	-0.07	10%	20 Jul →
anubis	5–13	-0.02	28%	19 Jul →
nuke	9–13	0.03	17%	19 Jul →
ancient	10–13	-0.06	12%	18 Jul →
inferno	13–11	-0.05	9%	18 Jul →
ancient	13–10	-0.04	14%	18 Jul →
anubis	13–8	0.02	4%	17 Jul →
mirage	10–13	-0.04	9%	17 Jul →
ancient	5–13	0.06	20%	17 Jul →
mirage	13–5	-0.08	11%	17 Jul →
cache	16–13	0.01	12%	17 Jul →
inferno	8–13	0.02	10%	17 Jul →
dust2	13–1	0.00	9%	17 Jul →
anubis	13–7	0.03	13%	17 Jul →
anubis	13–5	-0.00	17%	16 Jul →
mirage	12–5	0.01	15%	16 Jul →
inferno	5–13	-0.01	22%	16 Jul →
nuke	13–10	0.05	11%	16 Jul →
mirage	13–11	0.03	24%	16 Jul →
anubis	16–14	0.01	16%	15 Jul →
anubis	11–13	-0.01	8%	15 Jul →
anubis	13–5	-0.04	10%	15 Jul →
cache	13–6	-0.02	15%	15 Jul →
cache	5–13	-0.09	19%	14 Jul →
nuke	13–3	0.16	17%	14 Jul →
cache	5–13	-0.05	7%	14 Jul →
anubis	0–13	-0.06	17%	14 Jul →
ancient	16–14	0.01	8%	13 Jul →
dust2	11–13	-0.01	16%	13 Jul →
inferno	13–8	0.00	24%	13 Jul →
anubis	13–11	-0.04	12%	13 Jul →
cache	4–13	-0.05	12%	13 Jul →
nuke	2–13	-0.05	8%	12 Jul →
dust2	13–11	0.01	13%	12 Jul →
ancient	13–7	-0.00	14%	12 Jul →
inferno	13–11	-0.01	12%	10 Jul →
ancient	13–3	0.17	19%	10 Jul →
ancient	13–10	-0.06	24%	9 Jul →
nuke	13–6	0.04	15%	9 Jul →
inferno	9–2	-0.03	12%	9 Jul →
cache	13–4	0.03	13%	9 Jul →
ancient	5–13	-0.03	11%	9 Jul →
inferno	3–13	-0.09	12%	9 Jul →
inferno	9–13	0.02	14%	8 Jul →
cache	10–13	-0.02	15%	6 Jul →
inferno	13–6	0.04	10%	6 Jul →
dust2	10–13	0.04	15%	6 Jul →
anubis	10–13	-0.02	14%	5 Jul →
inferno	13–9	-0.01	10%	5 Jul →
ancient	10–13	0.02	10%	5 Jul →
nuke	13–4	0.10	12%	4 Jul →
ancient	9–13	0.01	25%	4 Jul →
cache	13–7	0.08	30%	4 Jul →
ancient	8–13	-0.07	7%	4 Jul →
ancient	11–13	-0.01	14%	3 Jul →
mirage	3–13	-0.10	11%	3 Jul →
inferno	13–11	0.00	15%	3 Jul →
cache	13–5	0.21	20%	3 Jul →
cache	13–7	0.02	23%	3 Jul →
cache	13–3	0.10	12%	1 Jul →
cache	12–12	-0.06	15%	1 Jul →
nuke	10–13	0.01	8%	30 Jun →
dust2	7–13	-0.06	20%	30 Jun →
anubis	7–13	-0.01	15%	30 Jun →
ancient	4–0	-0.04	0%	30 Jun →
inferno	4–13	-0.04	10%	27 Jun →
inferno	9–13	-0.03	11%	27 Jun →
nuke	3–13	-0.03	9%	27 Jun →
dust2	13–16	-0.08	20%	27 Jun →