.Ivanooooo +} — CS2 Stats

76561197988911264[U:1:28645536]✓ No bans

3,721Tracked matches47%Win rate2020Tracked since

7,586Hours in CS5Hrs last 2 wks

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating20,567Pink band · top ~7.9% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	Red band median	vs Red band
Headshot rate	66.5%	47.2%	49.9%	above
Shot accuracy	14.9%	12.7%	13.4%	above
Kill/death ratio	1.10	1.09	1.12	meets
Match win rate	44.5%	46.6%	48.4%	3.9% short

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim87

Positioning48

Utility48

0–100 skill scores via Leetify.

Recent form

COLD45–53–2Last 10045%Win rateWLLLWLLWLL

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

Player DNA

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

Aim8.7

Aggression6.6

Utility4.8

Positioning4.8

Opening Duels3.4

Clutch1.0

Sharp aimerStrong CT-side opener

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 ropz 91% playstyle similarity

Most alike: utility contribution, 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 57% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim8.7

Positioning4.8

Utility4.8

Mechanics7.8

Opening Duels3.4

Win Impact3.9

Composite 6.3/10 (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 time634ms+24ms

first ⅓ avg 610ms → last ⅓ avg 634ms

Headshot accuracy29.6%−1.2%

first ⅓ avg 30.8% → last ⅓ avg 29.6%

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

0.14Best rating — dust2 13–0

13–0Biggest win — dust2

4Longest win streak

9–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 56% over 16mirageWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	37	16–21	43%	0.01
inferno	A	16	9–7	56%	0.01
nuke	C	11	4–7	36%	-0.02
anubis	B	10	5–5	50%	0.00
ancient	A	9	5–4	56%	-0.03
cache	C	7	3–4	43%	-0.01
mirage	D	6	2–4	33%	-0.00
train	—	1	1–0	100%	0.01
boulder	—	1	0–1	0%	-0.05
shelter	—	1	0–1	0%	-0.01
fachwerk	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

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

Lifetime stats

257,060Lifetime kills

1.10K/D · Top 50% of Pink band

9,507Matches

44.5%Match win rate

66.5%Headshot % · Top 5% of Pink band

14.9%Shot accuracy · Top 50% of Pink band

30,356MVPs

5,944Hours (in match)

11,703Bombs planted

2,800Bombs defused

Most-used weapons

AK-47104,311

Desert Eagle46,796

M4A4 / M4A1-S38,440

P2000 / USP-S17,597

AWP15,390

Glock-187,557

P2504,092

Galil AR2,940

MP92,294

FAMAS2,186

Lifetime map wins

33,381dust2

19,522inferno

5,843nuke

3,209train

2,141cbble

1,892vertigo

126office

75dust

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

Faceit stats

Combat

1,519Matches

51%Win rate

1.09Avg K/D

82.7ADR

58%Headshot %

Clutches & streaks

25%1v1 clutch win

41%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	20	55%	1.17	17.6
Inferno	15	47%	1.03	19.0
Anubis	7	71%	1.40	19.4
Mirage	6	33%	0.89	14.5
Ancient	6	67%	0.88	15.3
Nuke	4	50%	1.10	21.8
Cache	1	0%	1.41	24.0
Overpass	1	0%	0.70	16.0

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.

29.2%Headshot accuracy

35.9%Accuracy (enemy spotted)

40.2%Spray accuracy

85.3%Counter-strafing

8.8°Preaim

618msReaction time

29.7%T opening success

57.1%CT opening success

0.44Enemies flashed / flash

7.4%Flash assists

9.36HE damage / grenade

6.81Flashes / 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.

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 0.4387 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 29.6914% — below the 40% mark we flag

Spend your practice time on Mirage

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 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–3	0.04	37%	29 Aug →
cache	7–13	-0.01	17%	29 Aug →
anubis	9–13	0.10	41%	29 Aug →
ancient	6–13	-0.08	20%	29 Aug →
dust2	13–8	0.00	36%	29 Aug →
dust2	2–13	-0.04	37%	29 Aug →
dust2	1–13	-0.03	33%	29 Aug →
ancient	13–11	-0.09	22%	9 Aug →
anubis	12–16	0.02	29%	9 Aug →
dust2	17–19	0.08	29%	8 Aug →
dust2	11–13	-0.02	25%	8 Aug →
nuke	13–16	-0.03	33%	8 Aug →
dust2	13–8	0.02	36%	8 Aug →
inferno	13–5	-0.02	20%	8 Aug →
nuke	0–11	-0.03	44%	8 Aug →
dust2	13–11	-0.03	38%	8 Aug →
mirage	3–13	0.00	42%	7 Aug →
dust2	11–13	0.00	28%	5 Aug →
anubis	13–7	0.04	45%	5 Aug →
cache	1–13	-0.03	21%	2 Aug →
dust2	13–0	0.14	32%	2 Aug →
anubis	13–11	0.01	35%	2 Aug →
dust2	1–13	-0.07	24%	1 Aug →
dust2	13–8	0.02	24%	1 Aug →
dust2	13–7	-0.04	25%	30 Jul →
ancient	13–7	-0.03	11%	30 Jul →
dust2	13–10	-0.01	19%	30 Jul →
inferno	13–16	-0.02	32%	29 Jul →
dust2	9–13	-0.01	25%	29 Jul →
ancient	13–8	-0.02	22%	29 Jul →
nuke	13–11	0.05	29%	28 Jul →
anubis	8–13	-0.08	29%	28 Jul →
dust2	9–13	-0.03	37%	28 Jul →
dust2	10–13	0.01	44%	28 Jul →
dust2	10–13	0.06	34%	28 Jul →
inferno	9–13	-0.03	42%	27 Jul →
anubis	13–11	0.03	33%	27 Jul →
dust2	5–13	0.01	26%	27 Jul →
nuke	4–13	-0.11	50%	26 Jul →
inferno	13–7	0.01	29%	26 Jul →
dust2	13–4	0.02	34%	26 Jul →
nuke	4–13	-0.01	33%	26 Jul →
mirage	11–13	0.04	40%	26 Jul →
inferno	13–4	0.03	33%	26 Jul →
cache	11–13	0.01	22%	26 Jul →
dust2	5–0	0.02	80%	26 Jul →
inferno	13–9	0.01	44%	26 Jul →
ancient	6–13	-0.01	27%	26 Jul →
inferno	13–7	0.05	35%	26 Jul →
cache	1–13	-0.10	18%	26 Jul →
dust2	7–13	0.00	35%	26 Jul →
inferno	13–2	0.07	52%	26 Jul →
nuke	13–11	0.01	29%	26 Jul →
inferno	5–13	0.04	30%	25 Jul →
cache	13–9	0.06	40%	25 Jul →
ancient	13–6	0.03	34%	25 Jul →
mirage	13–2	-0.04	36%	25 Jul →
anubis	13–8	0.05	42%	25 Jul →
ancient	5–13	-0.02	25%	25 Jul →
dust2	10–13	-0.05	35%	25 Jul →
dust2	13–5	0.10	29%	25 Jul →
cache	13–10	-0.02	43%	24 Jul →
ancient	10–13	-0.01	31%	24 Jul →
dust2	13–3	0.07	20%	24 Jul →
inferno	8–13	-0.01	28%	24 Jul →
dust2	10–13	0.05	36%	24 Jul →
dust2	16–14	0.01	23%	24 Jul →
nuke	7–13	0.06	20%	24 Jul →
inferno	13–11	0.00	33%	24 Jul →
inferno	8–2	0.02	42%	24 Jul →
nuke	2–13	-0.10	40%	24 Jul →
dust2	13–16	0.05	35%	23 Jul →
anubis	2–13	-0.05	17%	23 Jul →
nuke	7–13	0.04	29%	23 Jul →
cache	13–7	0.03	35%	23 Jul →
dust2	5–13	-0.04	20%	23 Jul →
mirage	4–13	-0.01	45%	23 Jul →
inferno	13–9	0.03	48%	23 Jul →
dust2	12–12	-0.02	33%	21 Jul →
train	13–9	0.01	43%	19 Jul →
dust2	13–8	0.02	49%	19 Jul →
nuke	3–4	-0.01	19%	19 Jul →
boulder	2–6	-0.05	17%	19 Jul →
shelter	12–12	-0.01	42%	19 Jul →
fachwerk	0–13	-0.11	25%	19 Jul →
inferno	3–13	-0.04	28%	19 Jul →
anubis	13–9	-0.08	17%	19 Jul →
dust2	8–13	0.07	47%	19 Jul →
dust2	13–6	-0.03	25%	19 Jul →
inferno	10–13	0.02	35%	19 Jul →
dust2	13–6	0.06	41%	19 Jul →
dust2	8–13	-0.04	20%	19 Jul →
nuke	13–10	-0.06	14%	18 Jul →
anubis	9–13	-0.02	13%	18 Jul →
ancient	13–5	-0.01	23%	18 Jul →
dust2	11–13	0.04	32%	18 Jul →
mirage	6–13	-0.06	27%	18 Jul →
inferno	9–13	0.03	24%	18 Jul →
dust2	13–10	-0.02	33%	18 Jul →
dust2	11–13	-0.05	44%	18 Jul →