Kovka — CS2 Stats

76561198129502613[U:1:169236885]Steam profile ↗✓ No bans

826Tracked matches41%Win rate2023Tracked since

CSDB Rating4.6 DevelopingPositional Player

Premier CS Rating13,429Blue band · top ~36.7% of ranked players (population est.)

CSDB Leaderboard#165249 of 261666 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,429 +655 1 Sept – 31 Oct · 19 days played

17,775Peak Premier in tracked matches

904Highest Faceit ELO seen on CSDB

20Days played since 2026-09-01

Premier CS Rating

4,346 below peak (17,775)
-1,309 over 30 days · declining
Next: Purple band at 15,000 — 1,571 to go
Reached: Purple band · Blue band · Light Blue band
Blue band first seen 2026-09-01
Light Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim58

Positioning59

Utility43

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLWTLLLWLLW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −8.9pp headshot accuracy · −23ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–3–1 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 617ms

Last 10

3–6–1 · 30% win rate
Avg rating -0.03
Avg headshot accuracy 12%
Avg reaction 574ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.01
Avg headshot accuracy 17%
Avg reaction 586ms

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 (+2.3 against its own average).

Aim5.8

Utility4.3

Positioning5.9

Opening Duels2.8

Clutch1.4

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 jL 80% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 607ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8

Positioning5.9

Utility4.3

Mechanics4.3

Opening Duels4.5

Win Impact2.1

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time596ms−2ms

first ⅓ avg 598ms → last ⅓ avg 596ms

Headshot accuracy16.7%−1.1%

first ⅓ avg 17.8% → last ⅓ avg 16.7%

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

0.10Best match rating · 9–13 · cache, 20 Sept →

47%Best headshot accuracy · 8–13 · nuke, 8 Sept →

438msFastest reaction time · 10–13 · anubis, 30 Sept →

13–1Biggest win · cache, 6 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak

3–6In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 57% over 14ancientWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	11–13	46%	-0.01
nuke	B	19	9–10	47%	-0.01
mirage	C	17	7–10	41%	-0.01
cache	A	14	8–6	57%	-0.00
anubis	C	12	5–7	42%	-0.02
ancient	C	11	4–7	36%	-0.02
inferno	—	2	1–1	50%	-0.01
vertigo	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

57Matches

42%Win rate

1.22Avg K/D

85.7ADR

44%Headshot %

Clutches & streaks

27%1v1 clutch win

17%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	22	36%	1.10	16.9
Mirage	11	36%	1.19	18.0
Ancient	6	33%	1.19	20.0
Inferno	6	50%	1.40	17.0
Anubis	5	80%	1.79	19.8
Nuke	3	0%	0.92	14.7
Cache	3	67%	1.11	15.7
Vertigo	1	100%	1.60	24.0

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.

16.9%Headshot accuracy

35.0%Accuracy (enemy spotted)

39.0%Spray accuracy

69.4%Counter-strafing

10.6°Preaim

607msReaction time

49.8%T opening success

46.5%CT opening success

0.61Enemies flashed / flash

2.8%Flash assists

9.91HE damage / grenade

7.89Flashes / match

Recommended for you

Spend your practice time on Ancient

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	14–16	0.01	13%	31 Oct →
dust2	13–11	-0.03	15%	31 Oct →
anubis	15–15	-0.03	13%	26 Oct →
nuke	4–13	-0.07	10%	26 Oct →
cache	11–13	-0.00	17%	4 Oct →
nuke	6–13	-0.08	18%	2 Oct →
anubis	13–10	-0.03	15%	1 Oct →
ancient	0–13	0.00	0%	1 Oct →
mirage	10–13	-0.10	6%	1 Oct →
mirage	13–6	-0.03	16%	1 Oct →
cache	13–6	0.05	24%	1 Oct →
cache	13–9	-0.02	20%	1 Oct →
dust2	2–13	-0.06	45%	1 Oct →
nuke	11–13	0.02	18%	30 Sept →
ancient	13–3	-0.01	9%	30 Sept →
anubis	10–13	0.01	10%	30 Sept →
nuke	5–13	-0.00	26%	30 Sept →
nuke	13–7	0.02	19%	30 Sept →
dust2	13–9	0.06	25%	30 Sept →
nuke	13–7	0.06	17%	30 Sept →
nuke	13–6	-0.02	25%	29 Sept →
nuke	13–9	0.00	17%	29 Sept →
mirage	8–13	-0.05	9%	29 Sept →
dust2	13–6	0.05	16%	29 Sept →
ancient	11–13	-0.01	14%	29 Sept →
anubis	5–13	-0.08	4%	29 Sept →
vertigo	9–4	0.06	21%	29 Sept →
mirage	11–13	0.01	23%	29 Sept →
anubis	9–13	-0.04	10%	29 Sept →
dust2	6–13	-0.03	35%	29 Sept →
mirage	2–13	-0.06	11%	29 Sept →
mirage	13–4	0.01	7%	22 Sept →
dust2	4–13	-0.05	24%	22 Sept →
nuke	6–9	-0.03	22%	22 Sept →
nuke	12–16	-0.03	8%	21 Sept →
mirage	13–10	-0.00	13%	21 Sept →
cache	13–16	-0.01	7%	21 Sept →
anubis	9–13	0.00	12%	21 Sept →
nuke	13–8	0.02	27%	21 Sept →
ancient	5–13	-0.06	12%	21 Sept →
nuke	13–7	0.03	19%	21 Sept →
anubis	13–11	-0.03	21%	21 Sept →
cache	5–13	0.02	19%	20 Sept →
dust2	13–2	0.00	19%	20 Sept →
dust2	13–9	0.00	10%	20 Sept →
mirage	9–13	0.01	20%	20 Sept →
nuke	15–15	-0.06	14%	20 Sept →
cache	9–13	0.10	15%	20 Sept →
dust2	5–13	0.03	24%	18 Sept →
ancient	13–8	0.03	24%	18 Sept →
mirage	8–13	0.01	40%	18 Sept →
anubis	8–13	-0.01	7%	18 Sept →
dust2	10–13	-0.01	10%	18 Sept →
dust2	12–16	-0.02	18%	18 Sept →
ancient	5–13	-0.00	2%	14 Sept →
nuke	3–13	-0.07	19%	14 Sept →
ancient	9–13	-0.06	10%	13 Sept →
ancient	13–9	-0.02	9%	11 Sept →
dust2	13–5	0.01	12%	11 Sept →
mirage	4–13	-0.05	17%	11 Sept →
dust2	13–9	-0.03	16%	11 Sept →
mirage	13–8	-0.02	23%	11 Sept →
mirage	13–6	0.04	8%	11 Sept →
dust2	15–15	0.03	20%	11 Sept →
ancient	6–13	-0.08	11%	11 Sept →
dust2	5–13	0.01	15%	10 Sept →
mirage	9–13	-0.03	16%	10 Sept →
nuke	13–10	0.02	25%	10 Sept →
cache	13–9	0.05	14%	10 Sept →
anubis	6–13	-0.02	7%	10 Sept →
dust2	13–7	0.04	12%	10 Sept →
cache	5–13	-0.11	23%	9 Sept →
nuke	16–13	-0.06	16%	9 Sept →
anubis	16–12	-0.08	13%	9 Sept →
dust2	12–16	-0.07	24%	9 Sept →
cache	13–10	-0.02	17%	9 Sept →
cache	9–13	-0.08	9%	9 Sept →
dust2	9–13	-0.03	5%	9 Sept →
ancient	6–13	-0.07	6%	9 Sept →
dust2	13–11	0.05	18%	8 Sept →
nuke	8–13	0.07	47%	8 Sept →
cache	13–7	0.05	5%	7 Sept →
dust2	6–13	-0.01	19%	7 Sept →
dust2	3–13	-0.06	13%	6 Sept →
inferno	13–7	-0.02	20%	6 Sept →
mirage	4–13	-0.04	24%	6 Sept →
nuke	11–13	-0.01	32%	6 Sept →
mirage	16–12	0.05	28%	6 Sept →
ancient	13–4	0.09	15%	6 Sept →
cache	13–1	0.04	22%	6 Sept →
mirage	13–3	0.03	10%	6 Sept →
dust2	13–4	0.01	4%	5 Sept →
anubis	7–2	0.02	26%	5 Sept →
dust2	13–5	0.00	15%	5 Sept →
cache	13–5	-0.03	27%	5 Sept →
cache	13–5	-0.06	21%	5 Sept →
nuke	13–9	-0.02	27%	5 Sept →
dust2	10–13	-0.08	13%	5 Sept →
mirage	1–6	-0.00	13%	5 Sept →
anubis	13–4	0.01	20%	5 Sept →