Kondze — CS2 Stats

PL76561198086417879[U:1:126152151]Steam profile ↗✓ No bans

3,931Tracked matches57%Win rate2020Tracked since

CSDB Rating7.1 StrongPositional Player

CSDB Leaderboard#219103 of 251327 tracked

FaceitLevel 10 · 2,165 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning72

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLWWWWLWWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −0.3pp headshot accuracy · −47ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.00
Avg headshot accuracy 19%
Avg reaction 530ms

Last 10

6–4 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 18%
Avg reaction 518ms

Last 20

11–9 · 55% win rate
Avg rating 0.00
Avg headshot accuracy 18%
Avg reaction 541ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim7.6

Utility6.7

Positioning7.2

Opening Duels4.7

Clutch3.8

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 NiKo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Aim7.6

Positioning7.2

Utility6.7

Mechanics6.7

Opening Duels6.5

Win Impact7.2

Composite 7.1/10 (Strong), 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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time519ms−11ms

first ⅓ avg 530ms → last ⅓ avg 519ms

Headshot accuracy17.7%−4.1%

first ⅓ avg 21.8% → last ⅓ avg 17.7%

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.

Personal bests

0.11Best match rating · 13–6 · cache, 29 Sept →

38%Best headshot accuracy · 6–13 · inferno, 17 Sept →

344msFastest reaction time · 13–4 · dust2, 21 Sept →

13–2Biggest win · inferno, 11 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

13–13In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 60% over 15dust2Weakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	18	10–8	56%	-0.00
ancient	B	17	8–9	47%	-0.00
anubis	A	16	9–7	56%	0.01
mirage	A	16	9–7	56%	-0.02
inferno	A	15	9–6	60%	0.01
dust2	D	9	3–6	33%	-0.04
nuke	B	6	3–3	50%	-0.01
vertigo	—	3	2–1	67%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,369Matches

51%Win rate

1.03Avg K/D

82.0ADR

45%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	264	48%	0.97	15.6
Ancient	243	52%	1.03	15.9
Anubis	180	48%	1.04	16.3
Inferno	158	58%	1.07	16.7
Cache	75	59%	1.16	17.9
Nuke	64	52%	0.99	16.4
Dust2	62	39%	0.93	15.6
Vertigo	46	54%	1.18	15.9

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.

17.1%Headshot accuracy

35.4%Accuracy (enemy spotted)

40.2%Spray accuracy

79.9%Counter-strafing

10.5°Preaim

517msReaction time

58.8%T opening success

52.9%CT opening success

0.60Enemies flashed / flash

9.8%Flash assists

7.18HE damage / grenade

11.62Flashes / 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.

33% win rate across 9 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
cache	6–13	-0.04	23%	8 Oct →
ancient	13–8	-0.02	19%	6 Oct →
cache	16–14	-0.02	14%	29 Sept →
cache	13–6	0.11	19%	29 Sept →
nuke	13–11	-0.02	20%	29 Sept →
anubis	13–16	0.07	9%	28 Sept →
cache	13–9	0.01	21%	28 Sept →
ancient	13–7	-0.01	12%	28 Sept →
inferno	6–13	0.02	19%	28 Sept →
mirage	5–13	-0.04	21%	28 Sept →
mirage	11–13	0.00	23%	28 Sept →
anubis	13–8	-0.01	13%	28 Sept →
ancient	5–13	-0.04	19%	27 Sept →
mirage	13–10	0.04	14%	27 Sept →
dust2	10–13	-0.02	19%	27 Sept →
nuke	14–16	0.03	22%	27 Sept →
anubis	13–7	0.04	17%	27 Sept →
ancient	13–7	0.01	21%	27 Sept →
cache	13–6	0.02	20%	27 Sept →
dust2	13–16	-0.05	11%	27 Sept →
anubis	11–13	-0.04	16%	27 Sept →
ancient	13–10	0.06	14%	27 Sept →
ancient	13–7	-0.01	25%	26 Sept →
mirage	13–11	-0.01	10%	26 Sept →
ancient	11–13	0.00	17%	26 Sept →
anubis	11–13	-0.07	7%	26 Sept →
vertigo	13–5	0.06	30%	26 Sept →
cache	16–14	0.02	25%	26 Sept →
ancient	1–13	-0.10	0%	26 Sept →
cache	13–6	-0.01	17%	26 Sept →
dust2	10–13	-0.06	24%	25 Sept →
anubis	5–13	-0.04	24%	25 Sept →
inferno	13–11	0.01	20%	25 Sept →
mirage	13–9	-0.07	19%	25 Sept →
cache	10–13	-0.00	20%	25 Sept →
dust2	9–13	-0.06	10%	25 Sept →
cache	13–10	0.04	23%	24 Sept →
cache	13–9	-0.09	18%	24 Sept →
inferno	13–7	-0.01	15%	24 Sept →
cache	16–19	0.02	15%	24 Sept →
nuke	13–6	0.05	16%	24 Sept →
anubis	13–5	0.07	10%	24 Sept →
vertigo	8–13	-0.05	21%	23 Sept →
ancient	10–13	-0.03	19%	23 Sept →
anubis	13–8	0.05	19%	23 Sept →
mirage	13–11	0.03	16%	23 Sept →
inferno	13–11	-0.00	26%	23 Sept →
nuke	13–8	-0.06	16%	22 Sept →
anubis	16–13	0.05	21%	22 Sept →
nuke	9–13	-0.01	25%	22 Sept →
cache	13–8	0.04	24%	22 Sept →
anubis	10–13	-0.05	15%	22 Sept →
inferno	13–11	0.01	31%	21 Sept →
dust2	13–4	0.01	13%	21 Sept →
mirage	8–13	-0.06	32%	21 Sept →
ancient	11–13	-0.03	22%	21 Sept →
dust2	13–16	-0.03	16%	21 Sept →
nuke	6–13	-0.04	36%	21 Sept →
dust2	13–7	0.01	8%	20 Sept →
dust2	13–4	-0.03	31%	20 Sept →
anubis	13–7	0.01	27%	20 Sept →
ancient	13–11	-0.01	15%	20 Sept →
inferno	1–13	-0.09	38%	19 Sept →
mirage	13–7	-0.04	14%	19 Sept →
anubis	8–13	-0.01	21%	19 Sept →
cache	5–13	-0.01	27%	19 Sept →
cache	16–14	-0.04	13%	18 Sept →
dust2	5–13	-0.11	15%	18 Sept →
mirage	19–17	-0.02	17%	18 Sept →
ancient	13–7	0.06	18%	17 Sept →
inferno	6–13	0.03	38%	17 Sept →
mirage	10–13	0.03	26%	15 Sept →
mirage	16–13	-0.05	16%	14 Sept →
inferno	17–19	0.00	22%	12 Sept →
mirage	5–13	-0.06	11%	12 Sept →
anubis	11–13	-0.01	17%	12 Sept →
cache	20–22	-0.01	22%	12 Sept →
inferno	13–2	0.09	31%	11 Sept →
ancient	11–13	0.03	15%	11 Sept →
mirage	13–9	0.02	29%	10 Sept →
cache	17–19	-0.01	21%	8 Sept →
anubis	13–11	-0.00	24%	8 Sept →
mirage	9–13	0.02	14%	8 Sept →
mirage	13–9	0.05	26%	7 Sept →
anubis	13–9	0.01	20%	7 Sept →
cache	8–13	-0.06	12%	7 Sept →
ancient	13–4	-0.00	31%	7 Sept →
inferno	11–13	-0.04	32%	6 Sept →
anubis	13–6	0.02	25%	6 Sept →
inferno	13–7	0.05	22%	6 Sept →
ancient	6–13	0.03	30%	5 Sept →
inferno	13–7	0.05	27%	5 Sept →
ancient	8–13	0.00	20%	3 Sept →
inferno	13–11	0.04	22%	3 Sept →
vertigo	13–6	0.11	19%	1 Sept →
inferno	7–13	0.01	18%	30 Aug →
mirage	7–13	-0.08	14%	30 Aug →
ancient	11–13	0.02	15%	29 Aug →
inferno	13–6	0.04	30%	29 Aug →
cache	10–13	-0.04	22%	28 Aug →