XZSerpent — CS2 Stats

76561198210392964[U:1:250127236]✓ No bans

1,381Tracked matches52%Win rate2020Tracked since

1,963Hours in CS3Hrs last 2 wks

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating22,701Top 50% of 819 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#3683 of 12589 tracked

FaceitLevel 8 · 1,734 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

22,701Peak Premier on CSDB

1,734Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,734
Next: Level 9 at 1,751 — 17 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-28
Level 7 first seen 2026-08-28

Premier CS Rating

At peak — 22,701
Next: Red band at 25,000 — 2,299 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

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim70

Positioning54

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateWWWWTLLWLL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim7.0

Aggression5.9

Utility5.8

Positioning5.4

Opening Duels2.1

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.

Your pro match

Plays most like NiKo 90% playstyle similarity

Most alike: opening-duel success, 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 628ms 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

Aim7.0

Positioning5.4

Utility5.8

Mechanics6.3

Opening Duels2.1

Win Impact5.6

Composite 5.9/10 (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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time624ms+4ms

first ⅓ avg 620ms → last ⅓ avg 624ms

Headshot accuracy18.4%+1.4%

first ⅓ avg 17.0% → last ⅓ avg 18.4%

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

0.13Best rating — anubis 13–10

13–0Biggest win — ancient

7Longest win streak

W4Current streak

8–4In matches decided by ≤2 rounds

14Overtime games

Map breakdown

mirageBest map · 72% over 32infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	32	23–9	72%	-0.01
dust2	C	24	10–14	42%	-0.01
ancient	S	17	11–6	65%	0.00
inferno	D	13	4–9	31%	-0.03
cache	D	6	2–4	33%	-0.02
anubis	A	5	3–2	60%	-0.02
nuke	—	2	1–1	50%	0.09
overpass	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,554Lifetime kills

0.86K/D

3,077Matches

38.3%Match win rate

37.9%Headshot %

10.9%Shot accuracy

5,282MVPs

2,325Hours (in match)

3,301Bombs planted

601Bombs defused

Most-used weapons

AK-4725,651

M4A4 / M4A1-S12,573

AWP9,457

P2000 / USP-S4,765

Desert Eagle2,187

P901,675

MP91,556

Glock-181,504

MAC-101,343

MP71,235

Lifetime map wins

5,470dust2

2,867inferno

1,595nuke

1,163vertigo

682train

85office

40cbble

21dust

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

Faceit stats

Combat

310Matches

52%Win rate

0.98Avg K/D

72.8ADR

44%Headshot %

Clutches & streaks

43%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	90	68%	1.01	14.6
Dust2	43	49%	1.09	14.8
Ancient	41	41%	0.87	13.4
Inferno	32	50%	0.89	12.7
Anubis	22	41%	0.95	13.3
Nuke	13	46%	1.06	14.2
Vertigo	5	80%	0.88	10.8
Train	5	40%	0.96	13.2

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.

17.8%Headshot accuracy

35.5%Accuracy (enemy spotted)

39.0%Spray accuracy

78.3%Counter-strafing

8.8°Preaim

628msReaction time

42.3%T opening success

34.9%CT opening success

0.62Enemies flashed / flash

12.1%Flash assists

14.23HE damage / grenade

6.45Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 34.8544% — 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.

31% 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
cache	13–7	0.00	26%	21 Aug →
mirage	13–4	0.01	26%	21 Aug →
mirage	16–13	0.03	20%	18 Aug →
mirage	16–13	-0.05	12%	18 Aug →
dust2	15–15	-0.02	15%	13 Aug →
inferno	6–13	0.00	24%	13 Aug →
mirage	8–13	0.02	9%	10 Aug →
ancient	16–12	-0.00	24%	10 Aug →
dust2	6–13	-0.05	13%	3 Aug →
dust2	2–13	-0.08	19%	3 Aug →
ancient	6–13	0.00	23%	3 Aug →
mirage	13–4	-0.08	10%	2 Aug →
mirage	7–13	-0.00	20%	2 Aug →
ancient	11–13	-0.03	12%	2 Aug →
ancient	13–6	0.08	19%	19 Jul →
mirage	8–13	-0.03	28%	19 Jul →
ancient	13–6	0.02	11%	18 Jul →
mirage	13–10	0.07	15%	18 Jul →
inferno	13–7	0.05	14%	18 Jul →
dust2	13–4	-0.06	19%	18 Jul →
dust2	13–10	-0.01	14%	18 Jul →
inferno	9–13	-0.07	33%	17 Jul →
cache	8–13	-0.05	16%	17 Jul →
cache	3–13	-0.06	22%	16 Jul →
mirage	13–5	0.01	10%	13 Jul →
ancient	5–13	-0.06	12%	13 Jul →
mirage	13–7	-0.00	33%	13 Jul →
cache	6–13	-0.01	7%	13 Jul →
mirage	16–13	-0.02	15%	9 Jul →
dust2	9–13	0.05	14%	3 Jul →
inferno	6–13	-0.07	26%	3 Jul →
dust2	13–11	-0.01	20%	3 Jul →
mirage	13–10	0.03	25%	3 Jul →
inferno	5–13	-0.05	13%	1 Jul →
dust2	13–3	0.12	25%	1 Jul →
anubis	14–16	-0.06	15%	21 Jun →
dust2	13–10	0.01	17%	21 Jun →
mirage	4–13	-0.06	20%	21 Jun →
ancient	13–6	0.02	27%	21 Jun →
dust2	1–13	-0.10	19%	21 Jun →
ancient	13–6	-0.00	22%	21 Jun →
dust2	15–15	-0.04	24%	21 Jun →
cache	13–8	0.04	33%	19 Jun →
mirage	13–5	0.07	14%	19 Jun →
mirage	16–14	0.01	21%	19 Jun →
dust2	7–13	-0.07	15%	19 Jun →
mirage	13–1	0.05	28%	17 Jun →
inferno	7–13	-0.04	23%	13 Jun →
anubis	13–10	0.00	23%	13 Jun →
dust2	13–5	0.04	25%	13 Jun →
ancient	9–13	-0.08	31%	4 Jun →
mirage	13–11	-0.02	21%	4 Jun →
mirage	13–9	-0.07	16%	4 Jun →
mirage	13–9	-0.02	18%	3 Jun →
dust2	9–13	-0.03	15%	3 Jun →
inferno	13–6	-0.08	11%	3 Jun →
mirage	13–11	-0.00	29%	3 Jun →
ancient	11–13	0.00	31%	1 Jun →
dust2	8–13	0.03	16%	30 May →
overpass	13–6	0.02	22%	30 May →
dust2	13–8	0.03	23%	30 May →
ancient	13–11	0.07	23%	29 May →
nuke	13–10	0.10	35%	29 May →
dust2	13–8	0.02	21%	24 May →
mirage	13–5	-0.06	19%	24 May →
mirage	13–7	-0.00	12%	23 May →
inferno	15–15	-0.00	22%	23 May →
mirage	6–13	-0.03	22%	23 May →
dust2	13–5	0.05	31%	23 May →
dust2	6–13	-0.00	14%	23 May →
inferno	12–16	-0.02	19%	23 May →
anubis	9–13	-0.08	5%	23 May →
mirage	13–3	-0.10	3%	23 May →
mirage	14–16	-0.03	25%	22 May →
ancient	13–3	-0.01	19%	22 May →
dust2	13–11	0.07	11%	22 May →
mirage	13–11	0.04	7%	20 May →
ancient	8–13	0.01	14%	16 May →
dust2	10–13	-0.06	22%	16 May →
dust2	15–15	0.01	15%	15 May →
mirage	9–13	-0.04	21%	15 May →
ancient	13–0	0.02	10%	15 May →
nuke	9–13	0.08	16%	13 May →
anubis	13–10	0.13	19%	13 May →
inferno	13–3	-0.04	26%	13 May →
ancient	13–9	0.00	12%	13 May →
mirage	13–11	-0.02	26%	13 May →
ancient	13–9	0.01	11%	13 May →
inferno	8–13	-0.01	19%	9 May →
mirage	16–13	-0.02	19%	9 May →
anubis	13–10	-0.07	18%	9 May →
mirage	13–4	0.02	26%	9 May →
inferno	13–1	0.00	17%	9 May →
dust2	6–13	-0.04	31%	9 May →
mirage	13–16	-0.09	15%	8 May →
cache	8–13	-0.06	8%	8 May →
mirage	10–13	0.01	12%	7 May →
ancient	12–5	-0.03	5%	7 May →
inferno	6–13	-0.06	23%	7 May →
dust2	8–13	-0.00	22%	5 May →