IGOR — CS2 Stats

GP76561198133970888[U:1:173705160]Steam profile ↗✓ No bans

6,398Tracked matches40%Win rate2020Tracked since

CSDB Rating7.5 StrongAggressive Rifler

FaceitLevel 10 · 3,274 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim94

Positioning73

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLLLLLLWWWW

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.

Aim9.4

Aggression10.0

Utility6.5

Positioning7.3

Opening Duels4.8

Clutch3.6

Sharp aimerStrong CT-side openerEffective 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 sh1ro 98% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.4

Positioning7.3

Utility6.5

Mechanics8.1

Opening Duels4.8

Win Impact1.7

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time511ms−22ms

first ⅓ avg 533ms → last ⅓ avg 511ms

Headshot accuracy31.5%+1.4%

first ⅓ avg 30.1% → last ⅓ avg 31.5%

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

0.19Best rating — overpass 13–4

13–0Biggest win — mirage

7Longest win streak

L6Current streak

9–2In matches decided by ≤2 rounds

11Overtime games

Map breakdown

overpassBest map · 78% over 9infernoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	43	25–18	58%	0.02
ancient	C	17	7–10	41%	0.01
nuke	C	9	4–5	44%	0.03
overpass	S	9	7–2	78%	0.07
anubis	C	7	3–4	43%	0.06
dust2	A	5	3–2	60%	0.06
inferno	C	5	2–3	40%	0.02
cache	—	4	1–3	25%	0.03
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,757Matches

55%Win rate

1.15Avg K/D

90.4ADR

55%Headshot %

Clutches & streaks

38%1v1 clutch win

25%1v2 clutch win

16Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	654	59%	1.24	18.4
Nuke	304	62%	1.41	18.8
Dust2	179	55%	1.24	18.4
Anubis	160	57%	1.33	19.7
Ancient	133	50%	1.04	16.8
Inferno	107	60%	1.24	18.6
Overpass	92	53%	1.24	18.3
Vertigo	77	65%	1.31	18.0

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.

31.5%Headshot accuracy

37.9%Accuracy (enemy spotted)

40.9%Spray accuracy

86.6%Counter-strafing

9.7°Preaim

503msReaction time

36.8%T opening success

61.5%CT opening success

0.77Enemies flashed / flash

12.6%Flash assists

7.93HE damage / grenade

10.84Flashes / 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
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 36.7903% — below the 40% mark we flag

Spend your practice time on Inferno

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	7–13	-0.01	17%	23 Aug →
mirage	6–13	-0.02	15%	23 Aug →
dust2	7–13	0.06	37%	23 Aug →
ancient	8–13	0.04	24%	21 Aug →
anubis	5–13	0.12	38%	17 Aug →
ancient	13–16	0.02	27%	17 Aug →
mirage	13–10	0.00	39%	16 Aug →
cache	13–11	0.01	26%	8 Aug →
mirage	13–10	-0.01	44%	7 Aug →
nuke	13–5	0.04	23%	7 Aug →
mirage	13–7	0.02	31%	4 Aug →
nuke	13–7	0.08	38%	3 Aug →
mirage	10–13	-0.05	29%	3 Aug →
inferno	9–13	0.01	41%	2 Aug →
ancient	9–13	0.04	38%	1 Aug →
ancient	13–7	0.03	50%	1 Aug →
cache	4–13	0.02	21%	31 Jul →
mirage	9–13	0.01	27%	31 Jul →
nuke	11–13	0.03	21%	27 Jul →
mirage	5–13	-0.06	33%	27 Jul →
nuke	7–13	-0.08	22%	27 Jul →
ancient	7–13	-0.01	37%	15 Jul →
overpass	16–12	0.14	30%	12 Jul →
mirage	13–3	0.10	32%	12 Jul →
cache	9–13	0.08	42%	12 Jul →
mirage	10–13	0.09	30%	12 Jul →
mirage	8–1	0.09	21%	10 Jul →
mirage	9–13	0.08	30%	9 Jul →
mirage	13–9	0.05	48%	8 Jul →
mirage	13–4	0.09	30%	6 Jul →
ancient	6–13	-0.01	44%	4 Jul →
mirage	3–13	-0.06	24%	2 Jul →
mirage	16–14	0.04	35%	1 Jul →
dust2	13–9	0.05	27%	1 Jul →
anubis	9–1	0.16	30%	1 Jul →
nuke	13–9	0.02	16%	30 Jun →
mirage	8–13	-0.08	15%	26 Jun →
ancient	4–13	-0.05	23%	24 Jun →
mirage	5–13	-0.06	17%	24 Jun →
mirage	5–13	-0.06	17%	24 Jun →
ancient	4–13	-0.05	23%	24 Jun →
ancient	13–6	0.02	20%	24 Jun →
anubis	4–13	0.01	12%	23 Jun →
mirage	13–9	0.05	28%	23 Jun →
inferno	5–13	-0.02	31%	23 Jun →
inferno	5–13	-0.02	31%	23 Jun →
anubis	4–13	0.01	12%	23 Jun →
mirage	13–9	0.05	28%	23 Jun →
mirage	19–17	-0.05	29%	23 Jun →
overpass	13–1	0.02	33%	15 Jun →
ancient	13–11	0.01	44%	13 Jun →
mirage	13–9	0.13	51%	13 Jun →
mirage	13–6	0.05	39%	11 Jun →
mirage	13–6	-0.03	19%	8 Jun →
ancient	4–13	-0.01	21%	4 Jun →
ancient	8–13	0.00	38%	1 Jun →
inferno	13–4	0.11	44%	27 May →
mirage	4–13	-0.05	29%	26 May →
mirage	13–2	0.03	26%	25 May →
mirage	7–13	0.01	40%	25 May →
overpass	13–4	0.19	43%	23 May →
mirage	9–13	0.05	34%	23 May →
overpass	13–9	0.06	32%	23 May →
overpass	16–14	-0.04	24%	21 May →
mirage	13–11	0.04	28%	21 May →
mirage	13–9	-0.01	28%	21 May →
ancient	16–13	-0.04	30%	21 May →
mirage	4–13	0.04	33%	19 May →
ancient	16–14	0.03	28%	19 May →
mirage	13–0	0.00	26%	19 May →
ancient	9–13	0.03	25%	16 May →
overpass	11–13	0.09	30%	16 May →
cache	8–13	0.01	35%	16 May →
dust2	16–13	0.04	41%	16 May →
mirage	9–13	-0.07	32%	14 May →
overpass	10–13	-0.06	24%	12 May →
dust2	8–13	0.02	30%	12 May →
mirage	13–8	0.01	31%	12 May →
mirage	16–14	0.05	27%	12 May →
inferno	13–10	0.05	37%	12 May →
overpass	13–8	0.08	15%	8 May →
mirage	4–13	0.03	34%	8 May →
mirage	13–16	-0.00	25%	3 May →
mirage	13–9	0.11	27%	1 May →
anubis	12–16	-0.02	23%	25 Apr →
nuke	2–6	0.06	41%	25 Apr →
ancient	13–8	0.11	30%	25 Apr →
mirage	13–7	0.08	29%	19 Apr →
mirage	13–5	0.02	43%	19 Apr →
anubis	13–7	0.06	33%	18 Apr →
nuke	8–13	-0.01	23%	5 Apr →
mirage	13–5	0.12	41%	5 Apr →
ancient	13–8	0.06	18%	3 Apr →
overpass	13–3	0.10	28%	3 Apr →
nuke	9–13	0.01	24%	2 Apr →
mirage	13–3	0.03	19%	29 Mar →
nuke	13–11	0.07	26%	29 Mar →
anubis	13–3	0.10	48%	27 Mar →
dust2	13–4	0.12	19%	27 Mar →
mirage	5–13	0.00	46%	26 Mar →