Ivan_Kuzmich — CS2 Stats

76561198003507847[U:1:43242119]✓ No bans

1,497Tracked matches46%Win rate2021Tracked since

2,832Hours in CS17Hrs last 2 wks

CSDB Rating2.5 Learning

FaceitLevel 4 · 1,024 ELOTop 81.0% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim17

Positioning46

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY48–45–7Last 10048%Win rateWLLWWWLWLL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim1.7

Aggression4.1

Utility4.3

Positioning4.6

Opening Duels1.2

Clutch2.8

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 75% playstyle similarity

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

Where you differ: lower utility contribution; 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. 668ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim1.7

Positioning4.6

Utility4.3

Mechanics1.5

Opening Duels1.2

Win Impact3.8

Composite 2.5/10 (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-0.04−0.05

first ⅓ avg 0.01 → last ⅓ avg -0.04

Reaction time666ms+22ms

first ⅓ avg 644ms → last ⅓ avg 666ms

Headshot accuracy15.8%+0.8%

first ⅓ avg 15.0% → last ⅓ avg 15.8%

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

0.15Best rating — dust2 13–3

13–1Biggest win — nuke

5Longest win streak

4–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 100% over 7overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	24	11–13	46%	-0.01
nuke	S	15	10–5	67%	-0.02
dust2	C	13	5–8	38%	-0.00
anubis	B	12	6–6	50%	-0.01
ancient	D	10	3–7	30%	-0.03
train	D	8	2–6	25%	-0.04
mirage	S	7	7–0	100%	0.02
overpass	D	5	1–4	20%	-0.06
cache	—	3	2–1	67%	0.00
vertigo	—	3	1–2	33%	-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,838Lifetime kills

1.10K/D · Top 50% of tracked players

3,771Matches

48.6%Match win rate · Top 50% of tracked players

39.9%Headshot %

11.9%Shot accuracy

9,532MVPs

1,636Hours (in match)

5,640Bombs planted

880Bombs defused

Most-used weapons

M4A4 / M4A1-S14,424

AK-4711,315

AWP9,013

Galil AR6,081

Nova3,913

P2000 / USP-S3,238

Glock-182,878

MP72,496

Dual Berettas2,419

PP-Bizon2,022

Lifetime map wins

6,741inferno

4,990dust2

4,155nuke

1,359vertigo

1,013train

581assault

309italy

235cbble

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

Faceit stats

Combat

299Matches

51%Win rate

0.99Avg K/D

71.9ADR

39%Headshot %

Clutches & streaks

34%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	63	57%	0.92	13.0
Inferno	61	54%	1.07	14.7
Nuke	56	70%	1.09	14.4
Ancient	31	39%	0.92	15.2
Vertigo	30	47%	0.90	13.3
Mirage	18	22%	0.80	14.2
Dust2	15	13%	0.80	11.2
Overpass	12	42%	0.97	13.5

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.

16.3%Headshot accuracy

28.8%Accuracy (enemy spotted)

29.0%Spray accuracy

56.8%Counter-strafing

13.9°Preaim

668msReaction time

37.7%T opening success

31.7%CT opening success

0.36Enemies flashed / flash

1.6%Flash assists

8.66HE damage / grenade

4.79Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.9443° — above the 12° mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3638 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–5	-0.05	26%	17 Aug →
inferno	3–13	-0.10	20%	31 Jul →
anubis	6–13	-0.03	11%	31 Jul →
dust2	13–9	0.00	32%	31 Jul →
nuke	13–4	-0.06	14%	31 Jul →
ancient	13–11	-0.07	12%	31 Jul →
cache	9–13	-0.04	18%	31 Jul →
mirage	13–7	0.01	10%	30 Jun →
anubis	6–13	-0.08	13%	30 Jun →
inferno	5–13	-0.10	11%	30 Jun →
nuke	13–1	0.10	18%	30 Jun →
cache	13–11	0.02	16%	30 Jun →
train	5–13	-0.12	8%	30 Jun →
dust2	7–13	0.00	29%	30 Jun →
dust2	11–13	-0.06	21%	29 Jun →
cache	13–7	0.02	15%	29 Jun →
anubis	1–13	-0.09	7%	21 Jun →
inferno	2–13	-0.09	15%	26 Apr →
ancient	6–13	-0.04	14%	26 Apr →
dust2	12–12	-0.08	10%	26 Apr →
mirage	16–12	-0.02	23%	7 Dec →
inferno	5–13	-0.06	13%	1 Dec →
inferno	16–13	-0.04	19%	17 Nov →
inferno	11–13	-0.05	21%	2 Nov →
ancient	16–12	0.01	16%	2 Nov →
nuke	12–12	0.01	14%	26 Oct →
anubis	13–6	-0.01	11%	26 Oct →
train	4–13	-0.10	24%	26 Oct →
inferno	5–13	-0.03	9%	26 Oct →
train	13–7	-0.01	12%	11 Oct →
inferno	5–13	-0.04	16%	11 Oct →
overpass	12–12	-0.07	17%	4 Oct →
inferno	2–13	-0.08	9%	4 Oct →
train	5–13	-0.06	16%	4 Oct →
nuke	13–8	0.02	25%	28 Sept →
overpass	2–13	-0.08	25%	28 Sept →
dust2	8–13	-0.03	13%	28 Sept →
inferno	13–10	0.06	16%	28 Sept →
nuke	13–10	-0.00	9%	28 Sept →
anubis	13–4	0.07	13%	23 Sept →
nuke	3–13	-0.07	17%	23 Sept →
dust2	8–13	-0.08	7%	21 Sept →
overpass	11–13	-0.04	11%	21 Sept →
anubis	5–13	-0.06	8%	20 Sept →
ancient	0–13	-0.10	12%	20 Sept →
inferno	6–13	-0.08	6%	20 Sept →
nuke	2–13	-0.07	32%	20 Sept →
nuke	9–13	-0.07	10%	14 Sept →
ancient	8–13	-0.00	20%	14 Sept →
dust2	13–6	0.00	19%	14 Sept →
inferno	9–13	-0.02	9%	14 Sept →
mirage	13–3	0.01	13%	14 Sept →
mirage	13–7	0.03	18%	13 Sept →
anubis	6–13	0.03	3%	13 Sept →
dust2	13–10	0.00	13%	31 Aug →
mirage	13–3	0.01	13%	30 Aug →
inferno	9–13	-0.02	14%	30 Aug →
overpass	13–2	-0.04	20%	30 Aug →
dust2	12–12	-0.01	10%	30 Aug →
nuke	13–8	-0.04	15%	30 Aug →
ancient	13–7	0.09	24%	30 Aug →
train	13–10	0.01	16%	30 Aug →
ancient	12–12	-0.05	20%	16 Aug →
train	7–13	-0.02	8%	16 Aug →
inferno	13–7	0.04	12%	16 Aug →
dust2	13–2	0.07	16%	9 Aug →
inferno	13–8	0.04	11%	9 Aug →
nuke	5–13	-0.07	18%	9 Aug →
overpass	12–12	-0.06	18%	9 Aug →
dust2	9–13	-0.02	13%	3 Aug →
mirage	13–9	0.01	22%	3 Aug →
ancient	8–13	-0.02	16%	3 Aug →
train	12–12	-0.02	6%	3 Aug →
anubis	13–4	-0.01	13%	27 Jul →
dust2	9–13	-0.01	15%	27 Jul →
nuke	13–11	-0.06	18%	18 Jul →
train	7–13	-0.02	15%	18 May →
dust2	13–3	0.15	17%	27 Oct →
nuke	13–9	0.13	12%	22 Oct →
inferno	13–7	-0.01	22%	22 Oct →
inferno	13–7	0.05	15%	14 Oct →
anubis	13–2	0.08	12%	14 Oct →
vertigo	3–13	-0.04	14%	14 Oct →
nuke	13–8	-0.01	3%	14 Oct →
inferno	13–10	-0.01	30%	14 Oct →
ancient	12–16	-0.02	10%	13 Oct →
nuke	13–4	-0.01	12%	13 Oct →
inferno	13–10	0.10	16%	12 Oct →
inferno	7–13	0.03	6%	12 Oct →
vertigo	10–13	-0.03	19%	8 Oct →
vertigo	13–7	-0.01	13%	7 Oct →
anubis	9–13	-0.05	18%	7 Oct →
inferno	13–4	0.07	13%	7 Oct →
ancient	4–13	-0.05	19%	3 Oct →
mirage	13–11	0.06	19%	3 Oct →
inferno	13–6	0.13	10%	3 Oct →
anubis	13–2	-0.00	19%	3 Oct →
inferno	13–9	-0.01	15%	30 Sept →
anubis	13–5	0.01	16%	30 Sept →
inferno	6–13	-0.00	13%	30 Sept →