zwanni — CS2 Stats

DE76561197967830024[U:1:7564296]Steam profile ↗✓ No bans

2,198Tracked matches30%Win rate2020Tracked since

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating23,184Top 50% of 29,473 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)

CSDB Leaderboard#11726 of 56582 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

Rating over time

23,184Peak Premier on CSDB

1,941Peak Faceit ELO on CSDB

1Days observed since 2026-08-31

Faceit ELO

At peak — 1,941
Next: Level 10 at 2,001 — 60 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-31
Level 8 first seen 2026-08-31

Premier CS Rating

At peak — 23,184
Next: Red band at 25,000 — 1,816 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-31
Purple band first seen 2026-08-31

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

Aim82

Positioning59

Utility68

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateLLLWLLLLLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.2

Aggression7.3

Utility6.8

Positioning5.9

Opening Duels3.1

Clutch4.0

Effective flashes

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 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency.

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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

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

Positioning5.9

Utility6.8

Mechanics6.5

Opening Duels3.1

Win Impact0.0

Composite 6.1/10 (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 rating0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time509ms−26ms

first ⅓ avg 535ms → last ⅓ avg 509ms

Headshot accuracy18.6%−2.4%

first ⅓ avg 21.0% → last ⅓ avg 18.6%

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

0.17Best rating — cache 13–2

13–2Biggest win — cache

4Longest win streak

L3Current streak

9–6In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 60% over 5anubisWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	14–15	48%	0.02
inferno	B	24	11–13	46%	0.03
ancient	A	16	9–7	56%	0.03
cache	C	13	5–8	38%	0.02
anubis	D	10	3–7	30%	0.01
nuke	A	5	3–2	60%	0.04
mirage	—	3	0–3	0%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,023Matches

51%Win rate

1.30Avg K/D

85.0ADR

40%Headshot %

Clutches & streaks

40%1v1 clutch win

28%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	253	57%	1.33	18.2
Ancient	174	52%	1.35	18.6
Dust2	159	49%	1.29	17.3
Anubis	116	43%	1.21	18.7
Nuke	74	49%	1.21	17.7
Overpass	19	37%	1.20	19.2
Train	14	36%	1.25	15.9
Mirage	6	50%	0.96	13.8

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.

18.3%Headshot accuracy

35.8%Accuracy (enemy spotted)

42.2%Spray accuracy

79.3%Counter-strafing

9.1°Preaim

502msReaction time

44.5%T opening success

39.9%CT opening success

0.82Enemies flashed / flash

6.5%Flash assists

10.89HE damage / grenade

11.84Flashes / 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 39.8929% — below the 40% mark we flag

Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	9–13	0.09	17%	29 Aug →
dust2	3–13	-0.06	17%	29 Aug →
anubis	5–13	-0.03	15%	29 Aug →
dust2	13–11	-0.03	20%	26 Aug →
inferno	12–16	0.02	21%	23 Aug →
inferno	5–13	-0.05	19%	22 Aug →
dust2	5–13	-0.07	22%	22 Aug →
cache	13–16	0.05	22%	21 Aug →
dust2	6–13	0.02	16%	21 Aug →
ancient	13–9	-0.01	15%	21 Aug →
dust2	13–8	0.05	21%	21 Aug →
anubis	8–13	0.00	17%	15 Aug →
dust2	7–13	0.00	19%	15 Aug →
inferno	13–7	0.04	8%	15 Aug →
dust2	13–8	0.07	21%	15 Aug →
inferno	9–13	-0.02	15%	15 Aug →
anubis	16–13	0.05	13%	15 Aug →
dust2	3–13	-0.03	29%	14 Aug →
ancient	10–13	-0.06	10%	14 Aug →
mirage	8–13	-0.04	14%	14 Aug →
nuke	5–13	-0.02	25%	14 Aug →
nuke	13–8	0.03	13%	12 Aug →
cache	8–13	-0.01	37%	12 Aug →
inferno	13–10	0.06	17%	9 Aug →
cache	5–13	-0.05	27%	9 Aug →
inferno	8–13	0.02	11%	9 Aug →
inferno	9–13	-0.02	15%	7 Aug →
dust2	6–13	-0.08	8%	7 Aug →
anubis	9–13	0.01	24%	7 Aug →
ancient	13–10	0.07	24%	6 Aug →
dust2	13–10	0.06	25%	6 Aug →
inferno	13–9	0.13	20%	6 Aug →
inferno	3–13	-0.04	20%	2 Aug →
dust2	6–13	0.05	31%	2 Aug →
anubis	2–13	-0.03	15%	1 Aug →
inferno	16–13	0.02	18%	1 Aug →
cache	11–13	-0.02	18%	1 Aug →
cache	15–15	-0.00	21%	1 Aug →
anubis	13–16	0.06	11%	1 Aug →
ancient	13–10	0.11	18%	31 Jul →
dust2	7–13	0.01	18%	31 Jul →
cache	13–2	0.17	29%	31 Jul →
cache	13–6	0.06	31%	31 Jul →
cache	7–13	-0.05	17%	31 Jul →
anubis	1–13	-0.02	18%	31 Jul →
cache	13–8	0.01	19%	31 Jul →
inferno	10–13	0.05	16%	31 Jul →
cache	5–13	0.01	21%	31 Jul →
dust2	13–8	0.03	18%	31 Jul →
dust2	13–9	0.06	30%	30 Jul →
inferno	9–13	0.01	22%	29 Jul →
dust2	13–9	0.03	32%	28 Jul →
ancient	16–14	0.01	23%	28 Jul →
dust2	1–13	-0.05	23%	28 Jul →
anubis	13–4	0.05	14%	27 Jul →
dust2	13–9	0.06	32%	27 Jul →
dust2	13–7	0.05	21%	27 Jul →
inferno	13–10	0.06	22%	26 Jul →
ancient	10–13	0.03	9%	26 Jul →
inferno	13–11	0.13	37%	25 Jul →
dust2	15–15	0.07	22%	25 Jul →
dust2	11–13	0.04	21%	24 Jul →
nuke	13–11	0.09	21%	24 Jul →
dust2	4–13	-0.05	14%	24 Jul →
inferno	13–7	-0.02	13%	24 Jul →
inferno	13–11	0.05	17%	24 Jul →
anubis	13–16	-0.00	7%	24 Jul →
cache	16–14	-0.01	26%	24 Jul →
ancient	13–11	-0.01	16%	23 Jul →
inferno	8–13	0.02	16%	21 Jul →
nuke	13–11	0.07	18%	21 Jul →
dust2	5–13	0.01	16%	21 Jul →
mirage	11–13	0.06	23%	21 Jul →
cache	13–9	0.10	28%	21 Jul →
inferno	2–13	-0.00	23%	20 Jul →
nuke	9–13	0.03	26%	20 Jul →
ancient	16–12	-0.00	19%	20 Jul →
inferno	13–9	0.08	19%	20 Jul →
inferno	13–3	0.05	16%	19 Jul →
dust2	8–13	0.09	22%	19 Jul →
ancient	13–9	0.10	33%	19 Jul →
inferno	13–7	0.04	26%	19 Jul →
ancient	14–16	0.00	36%	19 Jul →
inferno	5–13	-0.01	8%	19 Jul →
dust2	13–9	0.01	28%	17 Jul →
anubis	13–11	0.02	27%	17 Jul →
inferno	8–13	-0.01	17%	17 Jul →
inferno	9–13	0.06	16%	17 Jul →
dust2	13–5	0.06	25%	17 Jul →
mirage	12–16	-0.05	22%	17 Jul →
cache	11–13	0.04	15%	17 Jul →
dust2	16–13	0.06	33%	16 Jul →
dust2	14–16	0.03	19%	16 Jul →
ancient	13–10	0.09	25%	16 Jul →
ancient	10–13	0.01	20%	16 Jul →
ancient	8–13	0.04	4%	16 Jul →
dust2	13–7	0.11	27%	16 Jul →
ancient	13–8	-0.01	16%	15 Jul →
ancient	7–13	-0.04	20%	15 Jul →
dust2	13–4	0.02	12%	15 Jul →