207Bear — CS2 Stats

76561199172700318[U:1:1212434590]Steam profile ↗✓ No bans

1,145Tracked matches53%Win rate2026Tracked since

CSDB Rating4.8 DevelopingPositional Player

Premier CS Rating7,171Light Blue band · top ~68.4% of ranked players (population est.)

CSDB Leaderboard#186884 of 247902 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanSilver IV

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). 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: 7,171 -1,337 10 Sept – 30 Sept · 14 days played

8,699Peak Premier in tracked matches

18Days played since 2026-09-10

Premier CS Rating

1,337 below peak (8,508)
Next: Blue band at 10,000 — 2,829 to go
Reached: Light Blue band
Light Blue band first seen 2026-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

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Performance scores

Aim48

Positioning64

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY38–54–8Last 10038%Win rateLWWWLLWLLW

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −5.0pp headshot accuracy · −19ms reaction

Win rate 0pp 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

3–2 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 5%
Avg reaction 588ms

Last 10

5–5 · 50% win rate
Avg rating 0.02
Avg headshot accuracy 9%
Avg reaction 581ms

Last 20

10–10 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 12%
Avg reaction 590ms

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 (+1.8 against its own average).

Aim4.8

Utility4.1

Positioning6.4

Opening Duels4.8

Clutch3.0

Limited utility dependence

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 ZywOo 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

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. 569ms 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

Aim4.8

Positioning6.4

Utility4.1

Mechanics5.3

Opening Duels5.9

Win Impact6.1

Composite 4.8/10 (Developing), 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 rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time575ms−21ms

first ⅓ avg 596ms → last ⅓ avg 575ms

Headshot accuracy11.9%−2.0%

first ⅓ avg 14.0% → last ⅓ avg 11.9%

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

0.22Best match rating · 13–0 · mirage, 11 Sept →

33%Best headshot accuracy · 9–13 · office, 15 Sept →

414msFastest reaction time · 11–13 · office, 1 Oct →

13–0Biggest win · vertigo, 1 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

6–9In matches decided by ≤2 rounds

1Overtime games

Map breakdown

vertigoBest map · 100% over 5nukeWeakest map · 8% over 12

Map	Grade	Played	Record	Win rate	Avg rating
office	C	21	8–13	38%	0.02
nuke	D	12	1–11	8%	-0.00
mirage	C	12	5–7	42%	0.04
inferno	C	11	4–7	36%	-0.01
dust2	B	11	5–6	45%	-0.02
ancient	C	7	3–4	43%	0.00
cache	C	7	3–4	43%	-0.07
anubis	D	7	1–6	14%	-0.01
vertigo	S	5	5–0	100%	0.01
overpass	—	2	1–1	50%	0.05
boulder	—	2	1–1	50%	0.04
train	—	2	1–1	50%	0.01
fachwerk	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

26Matches

38%Win rate

0.76Avg K/D

69.7ADR

40%Headshot %

Clutches & streaks

35%1v1 clutch win

15%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	6	33%	0.80	12.0
Anubis	6	50%	0.80	13.0
Inferno	3	33%	0.50	8.0
Overpass	3	0%	0.40	6.3
Mirage	2	50%	0.61	8.5
Dust2	2	100%	0.90	14.0
Vertigo	2	50%	0.94	16.5
Cache	1	0%	1.85	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.

12.4%Headshot accuracy

31.7%Accuracy (enemy spotted)

29.5%Spray accuracy

73.7%Counter-strafing

10.2°Preaim

569msReaction time

58.4%T opening success

48.9%CT opening success

0.41Enemies flashed / flash

3.8%Flash assists

13.09HE damage / grenade

3.68Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.419% — below the 15% 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 0.4097 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	9–13	0.01	10%	1 Oct →
office	13–8	-0.00	0%	1 Oct →
vertigo	13–0	-0.00	6%	1 Oct →
overpass	3–0	0.13	0%	1 Oct →
office	11–13	0.04	9%	1 Oct →
nuke	7–13	0.00	7%	30 Sept →
mirage	13–7	0.01	14%	30 Sept →
office	9–13	0.03	17%	30 Sept →
office	2–13	0.02	20%	30 Sept →
ancient	16–12	-0.01	8%	28 Sept →
cache	5–13	-0.09	10%	28 Sept →
mirage	7–13	-0.07	8%	28 Sept →
office	13–9	-0.06	16%	28 Sept →
nuke	8–13	-0.02	10%	28 Sept →
office	13–2	0.12	11%	27 Sept →
vertigo	13–10	-0.03	21%	27 Sept →
office	13–3	0.00	13%	27 Sept →
office	13–3	0.10	22%	27 Sept →
anubis	6–13	-0.02	15%	27 Sept →
mirage	9–13	0.05	15%	27 Sept →
inferno	13–7	0.07	24%	26 Sept →
mirage	13–11	0.06	8%	26 Sept →
office	13–2	0.07	6%	26 Sept →
cache	13–10	-0.03	13%	26 Sept →
inferno	13–4	0.09	11%	26 Sept →
ancient	13–11	0.03	20%	26 Sept →
dust2	10–13	0.03	18%	26 Sept →
cache	5–13	-0.06	6%	26 Sept →
office	11–13	-0.04	13%	26 Sept →
nuke	11–13	-0.01	10%	26 Sept →
dust2	11–13	0.01	9%	26 Sept →
mirage	13–6	0.08	15%	26 Sept →
boulder	13–9	0.10	9%	26 Sept →
dust2	13–11	0.02	26%	26 Sept →
inferno	11–13	-0.05	15%	26 Sept →
office	12–12	0.11	29%	26 Sept →
office	12–12	0.02	13%	26 Sept →
dust2	13–8	-0.09	8%	26 Sept →
nuke	4–13	-0.06	24%	26 Sept →
office	10–13	0.00	23%	25 Sept →
inferno	5–9	-0.05	13%	25 Sept →
dust2	13–6	-0.08	13%	25 Sept →
inferno	7–13	-0.06	6%	25 Sept →
nuke	11–13	-0.01	11%	25 Sept →
mirage	13–5	0.11	16%	25 Sept →
dust2	10–13	-0.04	17%	25 Sept →
cache	13–10	-0.07	14%	25 Sept →
anubis	11–13	-0.01	6%	25 Sept →
office	8–13	0.03	11%	24 Sept →
nuke	6–13	0.06	13%	24 Sept →
mirage	6–13	0.05	12%	24 Sept →
cache	10–13	-0.06	11%	24 Sept →
ancient	4–13	-0.07	10%	24 Sept →
dust2	8–13	-0.00	17%	24 Sept →
nuke	11–13	-0.03	3%	24 Sept →
office	12–12	0.02	14%	23 Sept →
vertigo	13–11	0.10	16%	23 Sept →
dust2	6–13	0.04	18%	23 Sept →
cache	13–6	-0.05	10%	23 Sept →
dust2	13–9	-0.05	19%	23 Sept →
ancient	5–13	-0.05	10%	22 Sept →
mirage	9–13	-0.01	10%	22 Sept →
nuke	12–12	0.04	7%	22 Sept →
inferno	13–10	0.04	14%	22 Sept →
nuke	11–13	-0.02	7%	22 Sept →
anubis	9–13	0.02	20%	22 Sept →
mirage	8–13	0.07	22%	22 Sept →
inferno	8–13	0.01	19%	20 Sept →
mirage	0–13	-0.12	8%	20 Sept →
ancient	9–13	0.05	11%	20 Sept →
inferno	6–13	-0.01	27%	18 Sept →
inferno	1–13	-0.09	7%	17 Sept →
fachwerk	12–12	0.01	14%	17 Sept →
overpass	12–12	-0.03	16%	17 Sept →
office	12–12	-0.02	7%	17 Sept →
anubis	12–12	-0.02	18%	17 Sept →
vertigo	13–6	-0.03	8%	17 Sept →
inferno	13–3	0.01	20%	17 Sept →
cache	9–13	-0.10	12%	17 Sept →
train	13–3	0.05	15%	17 Sept →
office	13–9	0.02	0%	16 Sept →
boulder	9–13	-0.03	16%	16 Sept →
office	7–13	-0.02	15%	16 Sept →
dust2	13–8	-0.00	14%	16 Sept →
inferno	5–13	-0.06	7%	15 Sept →
office	9–13	-0.03	33%	15 Sept →
ancient	13–4	0.04	13%	13 Sept →
anubis	13–11	-0.05	12%	13 Sept →
office	13–5	0.05	14%	12 Sept →
anubis	9–13	0.03	21%	12 Sept →
mirage	8–13	0.07	7%	12 Sept →
nuke	7–13	0.01	12%	11 Sept →
dust2	7–13	-0.05	13%	11 Sept →
train	4–13	-0.02	13%	11 Sept →
anubis	5–13	0.01	9%	11 Sept →
mirage	13–0	0.22	12%	11 Sept →
vertigo	13–4	-0.00	11%	11 Sept →
nuke	13–11	-0.02	27%	10 Sept →
nuke	4–13	0.03	24%	10 Sept →
ancient	5–13	0.01	10%	10 Sept →