alvrin — CS2 Stats

BR76561199077423961[U:1:1117158233]Steam profile ↗✓ No bans

614Tracked matches40%Win rate2021Tracked since

4,388Hours in CS36Hrs last 2 wks

CSDB Rating3.8 LearningPassive Rifler

Premier CS Rating6,752Light Blue band · top ~70.4% of ranked players (population est.)

CSDB Leaderboard#10399 of 13812 tracked

FaceitLevel 4 · 960 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim61

Positioning32

Utility29

0–100 skill scores via Leetify.

Recent form

COLD41–58–1Last 10041%Win rateLLLLLWLWLW

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

Player DNA

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

Aim6.1

Aggression2.3

Utility2.9

Positioning3.2

Opening Duels0.0

Clutch6.0

Limited utility dependence

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 72% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 634ms 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

Aim6.1

Positioning3.2

Utility2.9

Mechanics7.5

Opening Duels0.1

Win Impact1.7

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.03

Reaction time640ms−45ms

first ⅓ avg 685ms → last ⅓ avg 640ms

Headshot accuracy19.7%−3.8%

first ⅓ avg 23.5% → last ⅓ avg 19.7%

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

0.23Best rating — nuke 13–2

13–2Biggest win — nuke

6Longest win streak

L5Current streak

6–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

nukeBest map · 50% over 8infernoWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	46	18–28	39%	-0.02
dust2	B	15	7–8	47%	-0.00
inferno	C	13	5–8	38%	0.01
nuke	B	8	4–4	50%	-0.00
anubis	B	8	4–4	50%	0.02
ancient	—	4	1–3	25%	-0.02
cache	—	3	0–3	0%	0.01
overpass	—	3	2–1	67%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,355Lifetime kills

0.92K/D

3,200Matches

45.0%Match win rate

46.0%Headshot %

13.0%Shot accuracy · Top 50% of tracked players

8,245MVPs

1,543Hours (in match)

3,150Bombs planted

866Bombs defused

Most-used weapons

AK-4721,271

M4A4 / M4A1-S17,241

AWP7,743

P2000 / USP-S4,316

Glock-183,235

Desert Eagle2,528

Galil AR2,287

FAMAS1,662

Knife1,492

MP91,151

Lifetime map wins

8,457inferno

5,241dust2

2,315vertigo

1,602nuke

1,106train

81cbble

12office

9lake

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

Faceit stats

Combat

20Matches

30%Win rate

0.74Avg K/D

56.6ADR

44%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	38%	0.71	11.3
Inferno	3	33%	0.60	11.3
Overpass	1	0%	0.67	12.0
Anubis	1	0%	0.54	7.0
Dust2	1	0%	0.27	6.0

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.

19.8%Headshot accuracy

30.7%Accuracy (enemy spotted)

31.4%Spray accuracy

83.6%Counter-strafing

9.7°Preaim

634msReaction time

16.9%T opening success

31.1%CT opening success

0.58Enemies flashed / flash

4.0%Flash assists

5.93HE damage / grenade

3.17Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1729 — 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 16.8503% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	9–13	-0.02	23%	27 Aug →
dust2	7–13	-0.01	37%	25 Aug →
mirage	13–16	-0.03	27%	25 Aug →
mirage	7–13	-0.05	5%	24 Aug →
mirage	6–13	-0.07	23%	24 Aug →
nuke	13–2	0.23	20%	24 Aug →
mirage	10–13	-0.08	36%	23 Aug →
nuke	13–11	-0.09	16%	23 Aug →
dust2	10–13	-0.03	17%	23 Aug →
dust2	13–9	-0.02	22%	23 Aug →
mirage	9–13	-0.03	12%	22 Aug →
mirage	13–5	-0.04	20%	22 Aug →
mirage	7–13	-0.05	10%	22 Aug →
dust2	16–14	-0.06	11%	22 Aug →
nuke	11–13	-0.03	25%	22 Aug →
dust2	13–6	0.12	24%	20 Aug →
dust2	9–13	-0.03	18%	19 Aug →
mirage	6–13	-0.06	18%	18 Aug →
mirage	8–13	-0.08	19%	18 Aug →
mirage	13–10	-0.00	5%	18 Aug →
mirage	8–13	-0.10	23%	17 Aug →
nuke	13–10	-0.07	19%	17 Aug →
inferno	13–5	0.07	22%	17 Aug →
mirage	3–13	-0.03	28%	17 Aug →
mirage	15–19	-0.00	21%	16 Aug →
cache	16–19	-0.05	13%	15 Aug →
mirage	13–9	-0.05	13%	15 Aug →
mirage	11–13	-0.04	18%	14 Aug →
mirage	13–6	-0.09	22%	13 Aug →
mirage	13–11	-0.05	33%	13 Aug →
mirage	10–13	-0.02	21%	13 Aug →
dust2	13–6	0.00	19%	12 Aug →
dust2	13–9	-0.02	8%	12 Aug →
inferno	6–13	-0.01	16%	12 Aug →
inferno	4–9	-0.04	17%	11 Aug →
mirage	19–22	0.03	21%	10 Aug →
mirage	13–11	0.07	19%	10 Aug →
dust2	13–16	-0.00	26%	9 Aug →
mirage	7–13	0.03	37%	9 Aug →
mirage	0–0	0.00	0%	9 Aug →
anubis	5–13	-0.00	20%	8 Aug →
mirage	13–16	-0.01	17%	8 Aug →
anubis	2–13	0.04	18%	8 Aug →
inferno	5–13	-0.04	15%	7 Aug →
mirage	8–13	-0.01	9%	6 Aug →
mirage	13–9	0.09	22%	6 Aug →
mirage	4–13	-0.08	29%	6 Aug →
anubis	13–4	-0.03	12%	5 Aug →
mirage	13–6	-0.00	10%	5 Aug →
mirage	13–10	0.09	20%	4 Aug →
anubis	5–13	0.02	17%	4 Aug →
nuke	13–8	0.01	15%	3 Aug →
mirage	13–5	-0.02	25%	3 Aug →
ancient	8–13	-0.06	14%	3 Aug →
mirage	13–11	-0.05	20%	3 Aug →
mirage	13–8	0.00	19%	31 Jul →
inferno	8–13	-0.01	23%	28 Jul →
mirage	13–9	0.05	19%	28 Jul →
nuke	2–13	-0.01	24%	26 Jul →
mirage	13–3	0.05	9%	26 Jul →
inferno	13–2	0.04	19%	26 Jul →
dust2	13–7	0.05	20%	26 Jul →
cache	11–13	0.04	16%	25 Jul →
nuke	11–13	-0.01	18%	24 Jul →
dust2	3–0	0.10	11%	24 Jul →
inferno	5–13	-0.04	21%	22 Jul →
mirage	13–8	0.00	22%	21 Jul →
mirage	6–13	-0.01	17%	21 Jul →
ancient	6–13	-0.04	11%	20 Jul →
mirage	6–13	-0.04	28%	20 Jul →
anubis	13–6	0.04	27%	18 Jul →
cache	13–16	0.04	31%	17 Jul →
overpass	13–9	0.06	23%	15 Jul →
mirage	19–17	0.05	27%	13 Jul →
mirage	13–7	0.05	19%	13 Jul →
inferno	13–8	0.05	20%	12 Jul →
mirage	13–5	0.06	23%	12 Jul →
ancient	13–6	0.05	35%	11 Jul →
inferno	7–13	-0.04	17%	11 Jul →
overpass	8–13	0.02	25%	3 Jul →
anubis	13–7	0.07	32%	3 Jul →
inferno	11–13	-0.05	21%	27 Jun →
nuke	10–13	-0.05	23%	23 Jun →
dust2	9–13	0.01	16%	7 Jun →
mirage	8–13	-0.02	31%	7 Jun →
dust2	6–13	-0.08	21%	5 Jun →
anubis	7–13	-0.01	17%	4 Jun →
inferno	13–8	0.14	33%	4 Jun →
inferno	13–8	0.04	21%	3 Jun →
mirage	6–13	-0.05	17%	3 Jun →
dust2	10–13	0.05	31%	2 Jun →
mirage	20–22	-0.03	16%	31 May →
mirage	17–19	-0.04	10%	31 May →
dust2	5–13	-0.10	14%	29 May →
inferno	3–13	0.03	48%	29 May →
overpass	13–2	0.04	22%	29 May →
mirage	10–13	0.05	22%	29 May →
anubis	13–10	0.07	14%	28 May →
mirage	8–13	-0.14	31%	26 May →
ancient	5–13	-0.02	32%	25 May →